The student worked on developing a dynamic control system for a three phase AC motor over four months. They designed a predictive control system using a PLC that measures motor RPM and temperature to control the motor speed via a frequency generator. This allows the motor to achieve higher efficiency compared to on/off control systems. The student learned control engineering concepts, programmed the PLC using ladder logic, interfaced hardware components like sensors and the motor drive, and implemented the system. Testing revealed minor issues that were addressed. The project improved the student's electrical engineering skills and they gained experience with research, time management, and demonstration.
International Journal of Computational Engineering Research (IJCER) is dedicated to protecting personal information and will make every reasonable effort to handle collected information appropriately. All information collected, as well as related requests, will be handled as carefully and efficiently as possible in accordance with IJCER standards for integrity and objectivity.
Demonstrate the implementation PI controller to regulate speed of DC Servo Mo...MIbrar4
Servo system plays an important role in the electromechanical system. Accompanying the
progress of technology and industry, servo driving technology can be completely implemented
in digital form, which gives much more convenience.
Motion Studio is an intelligent servo controller development environment with high
performance window visual software, which can be used to control servo systems containing
Techno soft intelligent servo drive. Motion system (includes motion system element definition
and controller parameter measurement) can be configured, and superior integrated tools can be
used to design motion program, which gives TML codes automatically. Open code development
tools allow further edit, direct compile, link, generate execute codes and send them to IPM
driver. Finally, advanced graphic view tools such as data record, control button and TML
variables observer can be used for analyzing the motion of system. Its interface is shown as
follows:
The document describes the design of an active spring/tilting module for a railroad vehicle. It discusses modeling the mechanical, electrical, and control systems to develop mathematical and numerical models. These models are used to analyze the system's behavior and design a hierarchical control system. Key steps include:
1) Developing physical, mathematical, and numerical models of the spring/tilting module and its components like sensors, actuators, and structure.
2) Analyzing the system using the models to understand dynamics like step responses and frequency spectra.
3) Designing a hierarchical controller with multiple levels to coordinate local position control of actuators and global control of vehicle body movement.
IRJET - Design of EV with Fault Detection and Monitoring in Low Voltage S...IRJET Journal
This document describes the design of an electric vehicle (EV) with fault detection and monitoring capabilities for the low voltage electrical system. The key components of the EV include a 48V, 110Ah lithium-ion battery, a 4.5kW BLDC motor, an motor controller, and a DC-DC converter. Calculations are shown to select the motor based on vehicle dynamics. A monitoring system is developed using Arduinos with I2C communication to monitor parameters and detect faults. The system uses a master-slave architecture to communicate faults and shut down the main contactor if any parameters exceed limits. The monitoring system interface is designed to support 3D rendering of fault locations to aid in troubleshooting.
Design of spark ignition engine speed control using bat algorithm IJECEIAES
This document summarizes a research paper that proposes using the bat algorithm to design a speed controller for a spark ignition engine. The paper first provides background on spark ignition engines, PI controllers, and the bat algorithm. It then describes using the bat algorithm to optimize the proportional and integral gains of a PI controller for a simulated spark ignition engine model in MATLAB/SIMULINK. The objective function is to minimize the integrated time absolute error of the engine speed response. Simulation results under different speed variations and load conditions are presented and analyzed to demonstrate that the bat algorithm can enhance engine speed performance compared to a conventional PI controller.
This document describes a system for monitoring transformer oil temperature using a PIC microcontroller. The system continuously monitors the oil temperature and automatically shuts down the transformer if the temperature exceeds safe limits. It displays the temperature readings for users. The system is designed to make transformers more secure and intelligent by detecting problems early to prevent costly failures or loss of service. It can cut operational and maintenance costs for transformers.
IoT Based Project for Submersible Motor controlling , monitoring, & Updating ...IRJET Journal
This document describes an IoT-based project to monitor and control submersible motors. The system uses an ATMEGA microcontroller to collect sensor data like voltage, current, and temperature. It displays this data on an LCD panel and sends it to a central server. The system can detect issues like dry running, overloading, or short circuits and shut the motor down. It also integrates with a water level sensor to automatically stop the motor when the tank is full. The goal is to monitor motors in real-time, protect them from damage, and allow remote control via the internet.
This document outlines the principal elements of mechatronics systems:
- Mechanical elements include the mechanical structure, mechanisms, thermo-fluid and hydraulic aspects that allow a system to produce motion, force and heat through physical interaction with the environment.
- Electro-mechanical elements refer to sensors that can measure physical variables like light, sound, pressure and temperature, as well as actuators that apply commanded actions like movement, lighting and heating.
- The control interface/computing hardware elements allow analog and digital conversion to facilitate communication between sensors, computers and actuators through devices like AD/DA converters, microprocessors and data acquisition boards.
International Journal of Computational Engineering Research (IJCER) is dedicated to protecting personal information and will make every reasonable effort to handle collected information appropriately. All information collected, as well as related requests, will be handled as carefully and efficiently as possible in accordance with IJCER standards for integrity and objectivity.
Demonstrate the implementation PI controller to regulate speed of DC Servo Mo...MIbrar4
Servo system plays an important role in the electromechanical system. Accompanying the
progress of technology and industry, servo driving technology can be completely implemented
in digital form, which gives much more convenience.
Motion Studio is an intelligent servo controller development environment with high
performance window visual software, which can be used to control servo systems containing
Techno soft intelligent servo drive. Motion system (includes motion system element definition
and controller parameter measurement) can be configured, and superior integrated tools can be
used to design motion program, which gives TML codes automatically. Open code development
tools allow further edit, direct compile, link, generate execute codes and send them to IPM
driver. Finally, advanced graphic view tools such as data record, control button and TML
variables observer can be used for analyzing the motion of system. Its interface is shown as
follows:
The document describes the design of an active spring/tilting module for a railroad vehicle. It discusses modeling the mechanical, electrical, and control systems to develop mathematical and numerical models. These models are used to analyze the system's behavior and design a hierarchical control system. Key steps include:
1) Developing physical, mathematical, and numerical models of the spring/tilting module and its components like sensors, actuators, and structure.
2) Analyzing the system using the models to understand dynamics like step responses and frequency spectra.
3) Designing a hierarchical controller with multiple levels to coordinate local position control of actuators and global control of vehicle body movement.
IRJET - Design of EV with Fault Detection and Monitoring in Low Voltage S...IRJET Journal
This document describes the design of an electric vehicle (EV) with fault detection and monitoring capabilities for the low voltage electrical system. The key components of the EV include a 48V, 110Ah lithium-ion battery, a 4.5kW BLDC motor, an motor controller, and a DC-DC converter. Calculations are shown to select the motor based on vehicle dynamics. A monitoring system is developed using Arduinos with I2C communication to monitor parameters and detect faults. The system uses a master-slave architecture to communicate faults and shut down the main contactor if any parameters exceed limits. The monitoring system interface is designed to support 3D rendering of fault locations to aid in troubleshooting.
Design of spark ignition engine speed control using bat algorithm IJECEIAES
This document summarizes a research paper that proposes using the bat algorithm to design a speed controller for a spark ignition engine. The paper first provides background on spark ignition engines, PI controllers, and the bat algorithm. It then describes using the bat algorithm to optimize the proportional and integral gains of a PI controller for a simulated spark ignition engine model in MATLAB/SIMULINK. The objective function is to minimize the integrated time absolute error of the engine speed response. Simulation results under different speed variations and load conditions are presented and analyzed to demonstrate that the bat algorithm can enhance engine speed performance compared to a conventional PI controller.
This document describes a system for monitoring transformer oil temperature using a PIC microcontroller. The system continuously monitors the oil temperature and automatically shuts down the transformer if the temperature exceeds safe limits. It displays the temperature readings for users. The system is designed to make transformers more secure and intelligent by detecting problems early to prevent costly failures or loss of service. It can cut operational and maintenance costs for transformers.
IoT Based Project for Submersible Motor controlling , monitoring, & Updating ...IRJET Journal
This document describes an IoT-based project to monitor and control submersible motors. The system uses an ATMEGA microcontroller to collect sensor data like voltage, current, and temperature. It displays this data on an LCD panel and sends it to a central server. The system can detect issues like dry running, overloading, or short circuits and shut the motor down. It also integrates with a water level sensor to automatically stop the motor when the tank is full. The goal is to monitor motors in real-time, protect them from damage, and allow remote control via the internet.
This document outlines the principal elements of mechatronics systems:
- Mechanical elements include the mechanical structure, mechanisms, thermo-fluid and hydraulic aspects that allow a system to produce motion, force and heat through physical interaction with the environment.
- Electro-mechanical elements refer to sensors that can measure physical variables like light, sound, pressure and temperature, as well as actuators that apply commanded actions like movement, lighting and heating.
- The control interface/computing hardware elements allow analog and digital conversion to facilitate communication between sensors, computers and actuators through devices like AD/DA converters, microprocessors and data acquisition boards.
Control systems project report (180501008)(180501016)(180501018)(180501020)khang31
A cruise control system for an electric vehicle has been modeled in MATLAB Simulink. A PI controller controls torque and a PID controller controls speed. The effect of the controllers and different inputs were analyzed. With both controllers, the system became stable, while it was unstable with no controllers. Step, ramp, and sine wave inputs all stabilized. Key parameters like peak time, rise time, and settling time were calculated from the output.
This document provides an overview of mechatronic design concepts and the need for specialized design methodologies for mechatronic systems. It discusses how mechatronic systems integrate mechanical, electrical, and software engineering principles. The document also describes functional decomposition and representation techniques useful for conceptual mechatronic design, including functional design trees and Petri net models. Overall, the document emphasizes that mechatronic design requires multidisciplinary collaboration and specialized modeling approaches to integrate different engineering domains.
The speed estimation technique of induction machines has become a non-trivial task. For estimating the speed of an induction motor precisely and accurately an optimum state estimator is necessary. This paper deals with the performance analysis of induction motor drives using a recursive, optimum state estimator. This technique uses a full order state space Extended Kalman Filter (EKF) model where the rotor flux, rotor speed and stator currents are estimated. A major challenge with induction motor occurs at very low and at near zero speed. In such cases, information about the rotor parameters with respect to stator side become unobservable while using the synchronously rotating reference frame. To overcome this lost coupling effect, EKF observer linearizes the non-linear parameter in every sampling period and estimates the states and machine parameters simultaneously. The proposed algorithm is tuned to obtain least error in estimated speed. Any error found is further optimized using a non-linear fuzzy controller to obtain improved performance of the drive.
This document provides an overview of mechatronics systems and their applications across multiple domains. It defines mechatronics as the synergistic combination of mechanical, electrical, and computer engineering. Examples of mechatronics applications discussed include microfactories, CNC machining, automobiles, high-speed trains, robots, medical devices, defense technologies, smart homes, and more. Across these diverse areas, mechatronics integrates mechanical and electronic engineering to create automated systems that sense and control physical processes.
mechatronics ,Process control & automationNavin Yadav
This document provides an overview of mechatronics. It begins with definitions of mechatronics as the synergistic combination of mechanical engineering, electronic engineering, control engineering, and systems design. It describes mechatronics as a multidisciplinary field and traces its origins from electromechanical systems. The document outlines the evolution of mechatronics through four levels and provides examples. It discusses the advantages of mechatronic systems in increasing productivity and flexibility. The document also covers applications in various fields and provides basic concepts in process control automation.
The document discusses mechatronics education, research, and development. It proposes establishing curricula and guidelines for mechatronics programs, preparing a list of required lab equipment, and offering educational and training courses. It also suggests developing a strategic research plan, scheduling academic activities, and linking education, research, and industry through surveys of job markets, standards, and automation demands. Finally, it provides examples of mechatronics, embedded systems, and robotics curricula and lab activities that integrate mechanical, electrical, computing, and control disciplines.
The document discusses an introduction to mechatronics, which is an interdisciplinary field that focuses on integrating mechanical engineering with electronics and computer control systems. It covers topics like the definition of mechatronics, applications in various systems, sensors and transducers, open and closed loop control systems, and performance terminology for systems. The overall goal of the course is to discuss integrating electronics, electrical, computer and control systems with mechanical and sensor technologies.
Egr445 book for Dr. Redkar's Class at ASU, I do not own right to this book, this is for vewing and student purposes.
author : De Silva, Clarence W.
publisher : CRC Press
isbn10 | asin : 0203502787
print isbn13 : 9780203611647
ebook isbn13 : 9780203502785
language : English
subject Mechatronics.
publication date : 2005
lcc : TJ163.12.D45 2005eb
ddc : 621.3
subject : Mechatronics.
Development of a software solution for solar pv power systems sizing and moni...simeon Matthew
This document describes the development of a software solution called SolarHelper for sizing and monitoring solar photovoltaic (PV) power systems. SolarHelper can accurately simulate the required battery storage capacity and PV array size based on load demands for sizing. It also monitors and records vital system variables like voltage, current, temperature and light intensity to assess the performance and state of an existing solar PV installation. The software was developed using a microcontroller, monitoring circuitry, and a Java graphical user interface. Algorithms are presented for both the sizing and monitoring functions of the SolarHelper software.
Journal of Mechatronics and Automation vol 3 issue 3STM Journals
Journal of Mechatronics and Automation (JoMA) The Journal intends to publish recent advancements in both theoretical and practical aspects of Mechatronics and Industrial Automation.The Journal publishes original research papers, review papers, patent alerts on latest innovations in the field of Mechatronics.
Focus and Scope Covers
Manufacturing Automation,
Mechatronical Engineering
Control System Design, Industrial System Design
Product Design Techniques
Mechatronics, Robotics, Biomimetics
Sensors, Wireless Sensor Networks and Multisensory Data Fusion
AI, Neural Networks
Modeling and Control of Mechatronics System and Robots
Industrial Automation , Process Control and Networked Control System
Human Computer Interaction, Telerobotics
Acoustics and Dynamics
Mechatronics is an interdisciplinary field that combines mechanical engineering, electronics, computer technology, and control systems to design and manufacture products. It involves domains like industrial automation, robotics, mechanical design, electrical/electronics, and computer systems. Recent trends in mechatronics include developments in areas like Internet of Things, machine learning, artificial intelligence, and computer networks to enhance manufacturing systems and laboratory automation through reliable electro-mechanical and computer control systems.
This document discusses mechatronics and provides examples of mechatronics systems. It defines mechatronics as the integration of sensors, actuators, control systems, and computers to manage complexity in engineered systems. Examples of mechatronics applications include consumer electronics, manufacturing systems like CNC machines, transportation systems like trains, robots, spacecraft, medical devices, defense technologies, smart home appliances, and more. Mechatronics combines mechanical engineering with electrical and computer engineering to create smart systems.
This document discusses various approaches to mechatronic system design, including:
1) Constraint modeling, which involves classifying constraints between mechanical and electrical components and indicating how attributes affect each other.
2) Bond graph modeling, which treats subsystems as reusable objects that can be interconnected.
3) Declarative and procedural modeling languages, with declarative being preferred for reusability.
4) Collaborative modeling to support multidisciplinary design teams through shared models, repositories, and abstraction capabilities.
Mechatronics is defined as the synergistic integration of mechanical engineering, electronic engineering, control engineering, and computer technology in the design of products and manufacturing processes. It combines these disciplines to create smart systems that are intelligent, efficient, and reliable. Mechatronics systems consist of mechanical systems, electrical systems, electronic systems, instrumentation and control systems, information systems, and computer systems. These systems work together using sensors, actuators and microprocessors to monitor and control mechanical processes. Some key applications of mechatronics include automotive mechanics, factory automation systems, and home appliances.
Control of IC Engine: Design a Novel MIMO Fuzzy Backstepping Adaptive Based F...Waqas Tariq
This paper expands a Multi Input Multi Output (MIMO) fuzzy estimator variable structure control (VSC) which controller coefficient is on-line tuned by fuzzy backstepping algorithm. The main goal is to guarantee acceptable trajectories tracking between the internal combustion engine (IC engine) air to fuel ratio and the desired input. The fuzzy controller in proposed fuzzy estimator variable structure controller is based on Lyapunov fuzzy inference system (FIS) with minimum model based rule base. The input represents the function between variable structure function, error and the rate of error. The outputs represent fuel ratio, respectively. The fuzzy backstepping methodology is on-line tune the variable structure function based on adaptive methodology. The performance of the MIMO fuzzy estimator VSC which controller coefficient is on-line tuned by fuzzy backstepping algorithm (FBAFVSC) is validated through comparison with VSC and proposed method. Simulation results signify good performance of fuel ratio in presence of uncertainty and external disturbance.
CONDITION BASED MONITORING AND CONTROL OF INDUCTION MOTOR USSING IOTShubhamArora175
This document proposes a system for condition monitoring of an induction motor using the Internet of Things (IoT) platform Thingspeak and MATLAB. The objectives are to monitor the motor's condition in real-time and control its speed using data from Thingspeak. Key aspects discussed include using sensors to monitor vibration, temperature, speed, humidity and other parameters; sending this data to a Thingspeak channel; analyzing the data in MATLAB; and controlling the motor's speed by varying parameters like voltage and frequency using an Android slider app and IoT. Simulation results from Simulink and real-time data visualization on Thingspeak are also presented. The system allows for remote monitoring and controlling of the motor to improve safety and reduce maintenance costs.
Presentazione di Gianpiero Negri, durante il suo talk dal titolo "Maccatronica, macchine intelligenti e nuove frontiere".
L'incontro si è tenuto il giorno 24 Gennaio 2015 all'interno del progetto SSC (Scientific Storming Café).
Durante il seminario sono stati illustrati i concetti principali e la definizioni della Meccatronica. Ci si è concentrati in particolare nelle applicazioni di questa disciplina con esempi concreti e tramite l'illustrazione di software specifici (come Simulink, Scilab e Modelica). In conclusione si è parlato di intelligenza artificiale, di biomeccatronica, e sistemi di sicurezza meccatronici e, in generale, di tutte le nuove frontiere di questa disciplina.
Nell'ultima slide tutti i riferimenti per poter approfondire le nozioni presentate.
This document outlines the course offerings from TechnicalTeachingEquipment related to mechatronics, automation, PLCs, and compumechatronics. Some of the main topics covered include mechatronics with sections on control, electronics, and hydraulics/pneumatics; basic and advanced PLC courses with options and applications; and compumechatronics covering areas like electricity, energy, renewable resources, mechanics, fluid mechanics, thermodynamics, chemical engineering, food/water technologies, and the environment. Over 100 specific course modules are listed across these subject areas involving industrial systems, sensors, electronics, mechanics, energy systems, manufacturing, and more.
IRJET - IoT-based Monitoring of Induction Motor PerformanceIRJET Journal
This document describes a system that monitors the performance of induction motors using IoT devices. Sensors measure electrical parameters like voltage and current, as well as non-electrical parameters like temperature and speed. An app is created using MIT App Inventor to display the sensor data and store it in a database. The system can detect abnormal parameter values and automatically turn the motor on or off to prevent faults. The goal is to increase motor efficiency and reduce maintenance costs through continuous remote monitoring of motor performance.
This document summarizes a research paper on a user-aware power management system for mobile devices. The proposed system consists of four main components: a user-space client, a sleep time manager, a sleep level controller, and a battery timer. It aims to extend battery life by controlling when devices suspend, shut off, or reboot based on the determined sleep patterns of users. Evaluation of the system showed that it could save 18-34% more power compared to existing systems.
This document summarizes a student's work on a low power embedded surveillance system project. The student worked with a team member over 6 months, guided by their professor. The project involved:
1) Developing a system using a microcontroller and sensors to intelligently control CCTV cameras and alert users via GSM.
2) Researching existing systems and dividing the work into hardware, programming, and testing phases.
3) Creating a system that uses PIR sensors to trigger low power CCTV based on motion, reducing energy consumption.
The document is a curriculum vitae for Muhammad Imran. It summarizes his education, including a bachelor's degree in Mechatronics Engineering from Air University. It describes his final year project on an automatic fire extinguishing system. It outlines his technical skills and internship experiences in fields like power generation and weapons production. It also provides details on his current role installing and maintaining radiology equipment. The CV aims to showcase Imran's qualifications for progressive and challenging organizational roles.
Control systems project report (180501008)(180501016)(180501018)(180501020)khang31
A cruise control system for an electric vehicle has been modeled in MATLAB Simulink. A PI controller controls torque and a PID controller controls speed. The effect of the controllers and different inputs were analyzed. With both controllers, the system became stable, while it was unstable with no controllers. Step, ramp, and sine wave inputs all stabilized. Key parameters like peak time, rise time, and settling time were calculated from the output.
This document provides an overview of mechatronic design concepts and the need for specialized design methodologies for mechatronic systems. It discusses how mechatronic systems integrate mechanical, electrical, and software engineering principles. The document also describes functional decomposition and representation techniques useful for conceptual mechatronic design, including functional design trees and Petri net models. Overall, the document emphasizes that mechatronic design requires multidisciplinary collaboration and specialized modeling approaches to integrate different engineering domains.
The speed estimation technique of induction machines has become a non-trivial task. For estimating the speed of an induction motor precisely and accurately an optimum state estimator is necessary. This paper deals with the performance analysis of induction motor drives using a recursive, optimum state estimator. This technique uses a full order state space Extended Kalman Filter (EKF) model where the rotor flux, rotor speed and stator currents are estimated. A major challenge with induction motor occurs at very low and at near zero speed. In such cases, information about the rotor parameters with respect to stator side become unobservable while using the synchronously rotating reference frame. To overcome this lost coupling effect, EKF observer linearizes the non-linear parameter in every sampling period and estimates the states and machine parameters simultaneously. The proposed algorithm is tuned to obtain least error in estimated speed. Any error found is further optimized using a non-linear fuzzy controller to obtain improved performance of the drive.
This document provides an overview of mechatronics systems and their applications across multiple domains. It defines mechatronics as the synergistic combination of mechanical, electrical, and computer engineering. Examples of mechatronics applications discussed include microfactories, CNC machining, automobiles, high-speed trains, robots, medical devices, defense technologies, smart homes, and more. Across these diverse areas, mechatronics integrates mechanical and electronic engineering to create automated systems that sense and control physical processes.
mechatronics ,Process control & automationNavin Yadav
This document provides an overview of mechatronics. It begins with definitions of mechatronics as the synergistic combination of mechanical engineering, electronic engineering, control engineering, and systems design. It describes mechatronics as a multidisciplinary field and traces its origins from electromechanical systems. The document outlines the evolution of mechatronics through four levels and provides examples. It discusses the advantages of mechatronic systems in increasing productivity and flexibility. The document also covers applications in various fields and provides basic concepts in process control automation.
The document discusses mechatronics education, research, and development. It proposes establishing curricula and guidelines for mechatronics programs, preparing a list of required lab equipment, and offering educational and training courses. It also suggests developing a strategic research plan, scheduling academic activities, and linking education, research, and industry through surveys of job markets, standards, and automation demands. Finally, it provides examples of mechatronics, embedded systems, and robotics curricula and lab activities that integrate mechanical, electrical, computing, and control disciplines.
The document discusses an introduction to mechatronics, which is an interdisciplinary field that focuses on integrating mechanical engineering with electronics and computer control systems. It covers topics like the definition of mechatronics, applications in various systems, sensors and transducers, open and closed loop control systems, and performance terminology for systems. The overall goal of the course is to discuss integrating electronics, electrical, computer and control systems with mechanical and sensor technologies.
Egr445 book for Dr. Redkar's Class at ASU, I do not own right to this book, this is for vewing and student purposes.
author : De Silva, Clarence W.
publisher : CRC Press
isbn10 | asin : 0203502787
print isbn13 : 9780203611647
ebook isbn13 : 9780203502785
language : English
subject Mechatronics.
publication date : 2005
lcc : TJ163.12.D45 2005eb
ddc : 621.3
subject : Mechatronics.
Development of a software solution for solar pv power systems sizing and moni...simeon Matthew
This document describes the development of a software solution called SolarHelper for sizing and monitoring solar photovoltaic (PV) power systems. SolarHelper can accurately simulate the required battery storage capacity and PV array size based on load demands for sizing. It also monitors and records vital system variables like voltage, current, temperature and light intensity to assess the performance and state of an existing solar PV installation. The software was developed using a microcontroller, monitoring circuitry, and a Java graphical user interface. Algorithms are presented for both the sizing and monitoring functions of the SolarHelper software.
Journal of Mechatronics and Automation vol 3 issue 3STM Journals
Journal of Mechatronics and Automation (JoMA) The Journal intends to publish recent advancements in both theoretical and practical aspects of Mechatronics and Industrial Automation.The Journal publishes original research papers, review papers, patent alerts on latest innovations in the field of Mechatronics.
Focus and Scope Covers
Manufacturing Automation,
Mechatronical Engineering
Control System Design, Industrial System Design
Product Design Techniques
Mechatronics, Robotics, Biomimetics
Sensors, Wireless Sensor Networks and Multisensory Data Fusion
AI, Neural Networks
Modeling and Control of Mechatronics System and Robots
Industrial Automation , Process Control and Networked Control System
Human Computer Interaction, Telerobotics
Acoustics and Dynamics
Mechatronics is an interdisciplinary field that combines mechanical engineering, electronics, computer technology, and control systems to design and manufacture products. It involves domains like industrial automation, robotics, mechanical design, electrical/electronics, and computer systems. Recent trends in mechatronics include developments in areas like Internet of Things, machine learning, artificial intelligence, and computer networks to enhance manufacturing systems and laboratory automation through reliable electro-mechanical and computer control systems.
This document discusses mechatronics and provides examples of mechatronics systems. It defines mechatronics as the integration of sensors, actuators, control systems, and computers to manage complexity in engineered systems. Examples of mechatronics applications include consumer electronics, manufacturing systems like CNC machines, transportation systems like trains, robots, spacecraft, medical devices, defense technologies, smart home appliances, and more. Mechatronics combines mechanical engineering with electrical and computer engineering to create smart systems.
This document discusses various approaches to mechatronic system design, including:
1) Constraint modeling, which involves classifying constraints between mechanical and electrical components and indicating how attributes affect each other.
2) Bond graph modeling, which treats subsystems as reusable objects that can be interconnected.
3) Declarative and procedural modeling languages, with declarative being preferred for reusability.
4) Collaborative modeling to support multidisciplinary design teams through shared models, repositories, and abstraction capabilities.
Mechatronics is defined as the synergistic integration of mechanical engineering, electronic engineering, control engineering, and computer technology in the design of products and manufacturing processes. It combines these disciplines to create smart systems that are intelligent, efficient, and reliable. Mechatronics systems consist of mechanical systems, electrical systems, electronic systems, instrumentation and control systems, information systems, and computer systems. These systems work together using sensors, actuators and microprocessors to monitor and control mechanical processes. Some key applications of mechatronics include automotive mechanics, factory automation systems, and home appliances.
Control of IC Engine: Design a Novel MIMO Fuzzy Backstepping Adaptive Based F...Waqas Tariq
This paper expands a Multi Input Multi Output (MIMO) fuzzy estimator variable structure control (VSC) which controller coefficient is on-line tuned by fuzzy backstepping algorithm. The main goal is to guarantee acceptable trajectories tracking between the internal combustion engine (IC engine) air to fuel ratio and the desired input. The fuzzy controller in proposed fuzzy estimator variable structure controller is based on Lyapunov fuzzy inference system (FIS) with minimum model based rule base. The input represents the function between variable structure function, error and the rate of error. The outputs represent fuel ratio, respectively. The fuzzy backstepping methodology is on-line tune the variable structure function based on adaptive methodology. The performance of the MIMO fuzzy estimator VSC which controller coefficient is on-line tuned by fuzzy backstepping algorithm (FBAFVSC) is validated through comparison with VSC and proposed method. Simulation results signify good performance of fuel ratio in presence of uncertainty and external disturbance.
CONDITION BASED MONITORING AND CONTROL OF INDUCTION MOTOR USSING IOTShubhamArora175
This document proposes a system for condition monitoring of an induction motor using the Internet of Things (IoT) platform Thingspeak and MATLAB. The objectives are to monitor the motor's condition in real-time and control its speed using data from Thingspeak. Key aspects discussed include using sensors to monitor vibration, temperature, speed, humidity and other parameters; sending this data to a Thingspeak channel; analyzing the data in MATLAB; and controlling the motor's speed by varying parameters like voltage and frequency using an Android slider app and IoT. Simulation results from Simulink and real-time data visualization on Thingspeak are also presented. The system allows for remote monitoring and controlling of the motor to improve safety and reduce maintenance costs.
Presentazione di Gianpiero Negri, durante il suo talk dal titolo "Maccatronica, macchine intelligenti e nuove frontiere".
L'incontro si è tenuto il giorno 24 Gennaio 2015 all'interno del progetto SSC (Scientific Storming Café).
Durante il seminario sono stati illustrati i concetti principali e la definizioni della Meccatronica. Ci si è concentrati in particolare nelle applicazioni di questa disciplina con esempi concreti e tramite l'illustrazione di software specifici (come Simulink, Scilab e Modelica). In conclusione si è parlato di intelligenza artificiale, di biomeccatronica, e sistemi di sicurezza meccatronici e, in generale, di tutte le nuove frontiere di questa disciplina.
Nell'ultima slide tutti i riferimenti per poter approfondire le nozioni presentate.
This document outlines the course offerings from TechnicalTeachingEquipment related to mechatronics, automation, PLCs, and compumechatronics. Some of the main topics covered include mechatronics with sections on control, electronics, and hydraulics/pneumatics; basic and advanced PLC courses with options and applications; and compumechatronics covering areas like electricity, energy, renewable resources, mechanics, fluid mechanics, thermodynamics, chemical engineering, food/water technologies, and the environment. Over 100 specific course modules are listed across these subject areas involving industrial systems, sensors, electronics, mechanics, energy systems, manufacturing, and more.
IRJET - IoT-based Monitoring of Induction Motor PerformanceIRJET Journal
This document describes a system that monitors the performance of induction motors using IoT devices. Sensors measure electrical parameters like voltage and current, as well as non-electrical parameters like temperature and speed. An app is created using MIT App Inventor to display the sensor data and store it in a database. The system can detect abnormal parameter values and automatically turn the motor on or off to prevent faults. The goal is to increase motor efficiency and reduce maintenance costs through continuous remote monitoring of motor performance.
This document summarizes a research paper on a user-aware power management system for mobile devices. The proposed system consists of four main components: a user-space client, a sleep time manager, a sleep level controller, and a battery timer. It aims to extend battery life by controlling when devices suspend, shut off, or reboot based on the determined sleep patterns of users. Evaluation of the system showed that it could save 18-34% more power compared to existing systems.
This document summarizes a student's work on a low power embedded surveillance system project. The student worked with a team member over 6 months, guided by their professor. The project involved:
1) Developing a system using a microcontroller and sensors to intelligently control CCTV cameras and alert users via GSM.
2) Researching existing systems and dividing the work into hardware, programming, and testing phases.
3) Creating a system that uses PIR sensors to trigger low power CCTV based on motion, reducing energy consumption.
The document is a curriculum vitae for Muhammad Imran. It summarizes his education, including a bachelor's degree in Mechatronics Engineering from Air University. It describes his final year project on an automatic fire extinguishing system. It outlines his technical skills and internship experiences in fields like power generation and weapons production. It also provides details on his current role installing and maintaining radiology equipment. The CV aims to showcase Imran's qualifications for progressive and challenging organizational roles.
This document describes a Microsoft Excel-based analytical tool developed by Mafraha Jahan to assess the energy performance of educational buildings. The tool has two sections: an initial assessment screen for administrative personnel and detailed analysis tabs for facility/engineering personnel. It has 17 tabs for billing information, temperature profiles, HVAC details, and analyzing 12 potential energy performance measures. The tool helps prioritize energy usage sectors, propose measures, and calculate annual energy/cost savings and paybacks to identify the most economical measures.
INDUCTION MACHINES ANALYSIS USING LABVIEW SOFTWARE PACKAGE _Ijmet 10 04_085Isaac Samuel
Induction machines are widely used in many industries due to their robustness, ruggedness and easy maintenance feature. Due to the addition of power electronics devices and the complexity involved in the design of induction machines, their study and analysis can be very difficult. The use of software packages has been widely adopted to analyze and study the behaviours of induction machines. This work focused on the use
of an engineering software package known as Laboratory Virtual Instrument Engineering Workbench (LabVIEW). It is used in this work to study the behaviour and characteristics of induction machines. LabVIEW was utilized due to its cheap and userfriendly feature. This work shows that induction machines can be completely analyzed using related mathematical equations for performance analysis.
The document is a resume for Ajay Shripad Late. It provides details about his personal information like name, date of birth, address, education and qualifications. It then outlines his work experience in automation projects for various companies, including roles as Senior Manager of Automation and Manager of Industrial Automation. It describes his responsibilities and notable work done on projects involving machines for welding, packaging and other industrial processes.
This document is a summer training report submitted by Pradeep Solanki to fulfill the requirements for a bachelor's degree in electrical engineering. The report discusses automation using programmable logic controllers (PLCs) and supervisory control and data acquisition (SCADA) systems. It provides an overview of automation technologies, including feedback control, sequential control, and computer control. The report also examines the history and applications of automation in various industries.
This thesis proposes a method for electronically actuating valves in an internal combustion engine. It utilizes a 42V standard in vehicles and provides a simplified model to demonstrate how electronic valve actuation works. The design uses solenoids and a microcontroller to vary the valve timing infinitely, allowing for improved fuel efficiency and engine power. Software controls a PWM signal to drive the solenoid and modifies it based on encoder input. Testing of the model is done at engine speeds up to 3000rpm. The work provides a basis for further development of an electronically controlled valve system.
This document compares the performance of PID, PI, and MPC controllers for controlling water level in a tank process. It describes modeling the first-order plus dead time process in MATLAB and tuning the PID controller using Ziegler-Nichols method. Simulation results show that the MPC controller achieved better performance than the PID and PI controllers in terms of rise time, settling time, and overshoot. Specifically, the MPC controller had the shortest rise time and settling time, as well as the lowest overshoot of the three controllers evaluated.
This program adds the data stored at two consecutive memory locations using the 8085 microprocessor. It loads the H-L register pair with the starting address, moves the first operand from memory to the accumulator register A, increments the H-L pair to point to the next location, moves the second operand to the B register, adds the operands in registers A and B, stores the result back in memory at the original address, and halts the program.
This document provides a report on industrial automation based on programmable logic controllers (PLCs) and supervisory control and data acquisition (SCADA) systems. It includes an introduction to industrial automation, PLCs, and SCADA. The report was submitted in partial fulfillment of a Bachelor of Technology degree in electrical engineering and covers automation technologies used from June to July 2014 during an internship.
This document presents research on sensorless speed control of an induction motor using predictive current and torque controllers. It begins with an abstract summarizing the research, which involves using a closed-loop observer system and predictive controllers to control an induction motor drive without requiring direct measurement of motor speed or flux. The document then provides background information on sensorless induction motor control and challenges associated with it. It describes the proposed control system, which uses a closed-loop observer to estimate motor flux and speed, along with a predictive current controller and predictive torque controller. Simulation results are presented confirming the effectiveness of the proposed sensorless control approach.
The document is a summer internship report submitted by Sai Shubhankar for an internship at Central Institute of Tool & Design in Hyderabad, India. It discusses a project on automatic feeding, measuring temperature, and ejecting components using a programmable logic controller (PLC). The report includes training received on mechatronics topics like automation, pneumatics, electro-pneumatics, sensors, and PLCs. It also provides details of the internship project which used a PLC to control temperature measurement and sorting of components based on sensor inputs.
MODELING & SIMULATION OF VOLT/HZ SPEED CONTROL FOR INDUCTION MOTOR USING DSPA...IAEME Publication
The rapid adoption of automation techniques in industry has increased the requirement for better process control. This has resulted in many new applications for AC variable speed drives (VSDs) to control the speed and torque of driven machinery. Variable speed drives (VSDs) are also used to meet particular starting and stopping requirements. The objective of this thesis is development of Voltage Source Inverter (VSI) using the dSPACE DS1104 DSP controller board for speed control of a phase induction motor. The board enables the linking of the MATLAB/Simulink model to the real time hardware. We have the feasibility of injecting real time analog and digital data into the MATLAB/Simulink model, process it to suit our model requirements, do the simulation, study the response in MATLAB/Control Desk and at the same time get real time analog and digital output from the DSP controller board.
This document provides a summary of an individual's educational qualifications, skills, projects, internships and technical activities. It includes details of the individual's contact information, educational background with percentages and specializations, skills in software languages and technical packages, undergraduate and postgraduate projects on topics like automatic water filling pump control and overcurrent protection relay, internship projects on BLDC motor console and flyback SMPS simulation, and achievements like qualifying GATE 2014 and securing first positions in technical competitions.
Introduction of Programmable Logic Controller to Electric Overhead Travelling...paperpublications3
Abstract: In this paper, we are using PLC programmes to control the crane movement. The application of PLC could simplify circuits and make the design easier, safer and more reliable. Earlier in Industry, relays and contactors are adopted to control the crane motion in desired directions. Starting of the cranes and speed control of the crane is realized through convectional starters and resistance series. This kind of design has low reliability, complex operation, high electrical failure rate, power waste and low efficiency .These problems can be rectified by using programmable logic controller.
The document discusses mechatronics systems and their design process. It begins with an introduction to mechatronics, which is an interdisciplinary approach to design that integrates mechanical engineering with electrical and computer science principles. This leads to products with more synergy and flexibility. The design process involves modeling, simulation, project management, analysis, and real-time interfacing. Additional topics covered include the stages of mechatronic design, traditional vs mechatronics approaches, and case studies of mechatronic systems like pick-and-place robots.
This paper discusses the design and implementation of a software program that helps users design power inverter systems. The software automates all of the necessary calculations and generates the circuit diagram. It was developed using the Java programming language and JavaFX graphical interface. The software takes user-input parameters for the desired inverter and calculates values for components like the transformer, oscillator, and switching circuits. It then generates the circuit diagram and bill of materials. The software aims to make the inverter design process faster and avoid human errors by automating all calculations. It was tested by comparing the results to manual calculations and was found to match.
This paper discusses the design and implementation of a software program that helps users design power inverter systems. The software automates all of the necessary calculations and generates the circuit diagram. It was created using the Java programming language and JavaFX graphical interface. The software takes user-input parameters for the desired inverter and calculates values for components like the transformer and switching elements. It outputs the calculated values and generates a bill of materials. The software aims to make the inverter design process faster and avoid human errors by automating the calculations. It was tested through a bottom-up approach and the results matched manual calculations, showing it achieves the goal of expediting the inverter design process.
This project investigates the design of a nonlinear feedback control system for a ball and beam process using numerical optimization in MATLAB. The document first presents the ball and beam physical system and develops a mathematical model. It then designs the nonlinear system in Simulink and optimizes it using MATLAB functions to minimize settling time. Results show the nonlinear system achieved a settling time of 1.74 seconds, meeting the objective of less than 3 seconds. Optimum PID gains are reported and the step response graph depicts the desirable optimized output. The investigation is concluded as successful in producing favorable optimized results for the nonlinear control system.
Benchmark methods to analyze embedded processors and systemsXMOS
xCORE multicore microcontrollers are 100x more responsive than traditional micros. The unparalleled responsiveness of the xCORE I/O ports is rooted in some fundamental features:
- Single cycle instruction execution
- No interrupts
- No cache
- Multiple cores allow concurrent independent task execution
- Hardware scheduler performs 'RTOS-like' functions
Benchmark methods to analyze embedded processors and systems
Career Episode_3
1. CAREER EPISODE-3
I. Introduction:
THE CHRONOLOGY: November 2009-April 2010
GEOGRAPHICAL LOCATION: CHENNAI, INDIA.
NAME OF THE ORGANISATION: ST.JOSEPH’S COLLEGE OF ENGINEERING
POSITION: STUDENT
TITLE: Dynamic Control of a three phase AC motor System with respect to a Linear Relationship.
[CE 3.1]
Among the recent electrical innovations, I learned that AC motors are arguably one of the
most important electrical device and manufacturing industries use motors in almost all the stages
of their operations. They play a vital role in industries and I understood that efficient and advance
control of motors could help industries improve their productivity and achieve higher overall
efficiency. I read through several industries operation such as the paper mill rolling industries
where a minute error in the operation of the motor could lead to improper rolling and severe loss
to their overall outcome. This led me to firmly believe that improved dynamic control system will
drastically help these industries. To achieve a better understanding of the control mechanism and
develop an improved system I worked on this small lab assignment which was part of my Electrical
machines assignment for four months. I was assigned to work for this laboratory assignment under
the supervision of Mr. Elavarasan Kanan, Associate Professor, Head of Department (Laboratory),
Electronics and Electrical department, St. Joseph’s College Of Engineering, Chennai.
II. Background Research
[CE 3.2]
I firmly believe that practical experience would help me better understand theoretical
information from my books. Hence I grasped the opportunity presented by my laboratory head of
the department to work on this real time experience. I volunteered myself in this mini laboratory
assignment to put in practise my acquired academic skills. Several of my classes and laboratory
sessions such as Electrical machines, electrical measurements, electrical circuit’s lab and a private
diploma course which I had enrolled in during this period on Industrial Automation helped me
2. understand and develop this assignment. I designed a predictive dynamic control system for a
simple process on a real time basis which can be applied in an industrial field. The control system
takes physical measurements in terms of Temperature, Frequency and RPM of a three phase
induction motor in order to maintain the temperature of the canister at the desired level and increase
the efficiency of the three phase motor which is a part of the temperature control system. Here the
temperature controlling part can be replaced with any sensor to alter my system, ultimately
achieving better motor control. I initiated my work by starting with the background study from
various online standard journals and official publications. After I started my background study, I
was interested in exploring more relevant content from online resources.
[CE 3.3]
Developing a brief outline of the assignment and gathering of ideas to develop an effective
and improved system.
Coordinating with my internal supervisor to develop an elaborate strategy for my
assignment prior to conducting a detailed literature review for my assignment.
Perform several duties such as coding, stimulation of the project and hard wiring of the
entire system for display.
Prepare assignment Report.
[CE 3.4]
Firstly my background study was given great importance and an understanding of the
fundamental principles of electrical theories was my primary aim. Later I was introduced to several
electrical appliances and their principal of operations. With this help I was able to conduct in-depth
research on my mini laboratory assignment and shared my research findings with my project
supervisor in my meetings and during the weekly presentations update headed by him. These
meeting and presentations helped me to gather more ideas and suggestions from my supervisor.
Then I narrowed the various suggestion and ideas presented to develop a control system and
drafted a rough project goal and tasks to be undertaken. I constantly utilised my Head of the
department for guidance, for the better understanding of my study from several books and internet
based materials.
[CE 3.5]
I planned the project activities under the supervision of Mr. Elavarasan Kanan, Associate
Professor, Head of Department (Laboratory), Electronics and Electrical department, St. Joseph’s
3. College Of Engineering, Chennai. Also the course I undertook during this time with PROLIFIC
LTD. in industrial automation helped me achieve this project.
.
[CE Fig 3.1] Team Organization
III. Personal Engineering Activity:
[CE 3.6]
After a detailed research on electrical machines, control methods, their operations and
several existing systems, I narrowed down my research to develop an idea for my proposed system.
I designed a flow chart with my supervisor’s guidance and established the scope of my project.
The main idea of my project which I discussed with my supervisor was to program and analyze
the operation of a closed loop control system on a real time basis. I learned that widely used control
systems for similar control operations have their motor speed predefined or turned ON and OFF
constantly because the user is involved with the control procedure and corrective action is done
based on the output value, which reduces the efficiency of the system. I proposed a system to
achieve higher motor efficiency, where in addition to the two position and feedforward control
Electronics and Electrical department
ST.Jospeh’s college of
Engineering
Assoc. Professor
Mr. Elavarasan
Kanan
(Jayaram.K.S.S)
Electronics and
Instrumentation
Engineering
Prolific Limited:
Industrial
automation diploma
course
4. loops (simple slope formula based control loop), a tachogenerator measures the RPM value of the
motor and sends it to a micro master 440 frequency generator which generates a value with respect
to the RPM. This value is sent to the PLC, where the PID control blocks along with several other
blocks which I proposed to program and calibrate, predicts the corrective action required. Then
the controller sends a signal through the generator’s output to alter the speed of the motor. Thus,
the system works continuously as the PLC program predicts the change in temperature which
might occur due to the error in the measured RPM, rather than waiting for the output signal. Thus,
the motor that acts as the temperature regulator achieves higher effectiveness, and the entire control
system obtains an improved efficiency. Thus, I started my work to develop and configure this
entire control system. I also proposed to develop my skills to effectively acquire data and design a
SCADA interface to provide users to monitor and modify the set of parameters for the control
system. I divided the implementation work into three stages as, the system control designing stage,
hardware interfacing and implementation stage, and finally the testing stage. I carried the first and
second stage simultaneously as it was easier to understand my system. I was able to track the
progress of the each activity by maintaining an assignment development document which was
updated regularly and the hardware and software to be considered for this system was discussed
with my supervisor before implementing.
5. [CE Fig 3.2] Flow chart
[CE 3.7]
During system control designing stage, I learned in detail the various theories of electrical
and controls engineering. I used a Siemens S-7 300 controller for the control procedure for my
system. I had to initially learn the basic ladder logic programming to code the Siemens software.
Then I had to read and learn with my supervisor’s guidance advance control procedures and
techniques to implement in this system. Later, I used the software SIMATIC S7-300 for
configuring my control system on several levels. I learnt the PIN configuration and planed the
input and output signal configuration for various equipment to interface to my controller.
START
Auto
LM 35
SCADA
PLC
Frequency Converter
(V/f)
Three
Phase
Motor
Set speed
No
Analog I/P
Analog O/P
Selector S/W
Manual
Tachogen
FEEDBACK
FEEDFORWARD
Yes
6. Controlling codes as mentioned above was done with three control loops. In addition to this, I
included certain interrupt procedures to benefit the execution sequence of the process. I configured
the system in such a way that if any fault on the controller might arise, the system will refrain from
stopping its execution and going into a fault mode but instead would identify the fault to the
operator and then carries on with its procedure with the rest of the unaffected blocks. I stimulated
this program and it was successful. Next step was to download the computer program on to the
controller, for this I used the Open Process Protocol (OPC) standards and Siemens S7 MPI as the
device driver to send and receive data from the controller. I had used (OLE) and (DDE) to create
interfaces for the user to monitor and modify the process. I also created a SCADA using Intouch
software from Wonderware factory suite. I designed and represent my control system in SCADA.
Once the interfacing with the controller was achieved, I downloaded the control program and
executed it successfully.
[CE 3.8]
In the next phase, hardware interfacing and implementation was the priority. Here first I
had to study in depth the various hardware equipment to be used such as the LM35, VFD, tacho
gen, 12V fan, push buttons, relays and LED’s. I had to understand the PIN configuration and the
input and output requirements to interface it with the PLC. Once I learned this, I was able to apply
it to the programming section. I used a bulb as a heating element placed inside the cansiter with
the knob to regulate its intensity and a LM35 temeprature sensor to sense the temeperature. I used
a three phase indication motor which is attached with an exhaust fan for removing excess vapor. I
used a Simens Micromaster 440 AC drive to interface the various operations in my project.I
hardwired all these equipment together and interfaced it with the controller.
[CE Fig 3.3] Hardware setup
7. [CE 3.09]
The final stage was the testing, initially I faced few challenges such as the copper leads in the
LM35 temperature sensor. They tend to measure the temperature of the surface they are placed on,
this was corrected. Few minor difficulties in downloading the program to the controller were faced
but with my supervisor’s guidance I was able to execute the assignment successfully and submit
an assessment report.
[CE 3.10] Summary:
I was able to successfully execute a system with improved dynamic control system and
specifically improve the efficiency of a three phase motor.
I boosted my familiarity in electrical engineering.
I learned the importance of detailed research and learned the art of undertaking focused
meaningful research to achieve my goal.
My time management skills were improved through project tracking applications.
My demonstration skills increased after handling the development work and presentation
to my supervisor. I was also given an opportunity to demonstrate my project to my class
member who raised several challenging question regarding the control and operation part
which I explained in detail.