Permanent Magnet Synchronous motor (PMSM) or Permanent Magnet AC motor:
Introduction to PMSM motor.
Types of PMSM Motor.
Mathematical modelling of PMSM motor.
Advantages and dis Advantages of PMSM motor
Breaking,Types of Electrical Braking system, Regenerative Braking, Plugging ...Waqas Afzal
Why Breaking?
Requirements for Braking
Types of Electrical Braking system
Regenerative Braking.
Plugging type braking.
Dynamic braking.
Breaking implementations at DC Motor and AC Motor
Permanent Magnet Synchronous motor (PMSM) or Permanent Magnet AC motor:
Introduction to PMSM motor.
Types of PMSM Motor.
Mathematical modelling of PMSM motor.
Advantages and dis Advantages of PMSM motor
Breaking,Types of Electrical Braking system, Regenerative Braking, Plugging ...Waqas Afzal
Why Breaking?
Requirements for Braking
Types of Electrical Braking system
Regenerative Braking.
Plugging type braking.
Dynamic braking.
Breaking implementations at DC Motor and AC Motor
Design and Analysis of DC-DC Bidirectional Converter for Vehicle to Grid Appl...PranayJagtap5
Aim of the Project:
The project aims to design and analysis of bidirectional dc-dc converter for vehicle-to-grid application in Electric Vehicles. The proposed converter can boost the voltage of an energy-storage system (e.g. from battery management system in EV) to a high-voltage AC bus for a particular load demand, during peak load conditions. When the high-voltage AC bus has excess energy, during low load conditions, this energy-storage module can be charged by the AC bus via inverter & bidirectional dc-dc converter.
Problem Statement:
A DC-DC converter is essential for exchanging energy between a storage device and the rest of the system and vise-versa. Such a converter should be able to handle bidirectional power flow capability in all the operating modes with flexible control. Thus, design and analysis of bidirectional DC-DC converters is an important aspect.
Bidirectional DC-DC Converter:
Bidirectional DC-to-DC converter allows power flow in both forward and reverses direction. The bidirectional converter is also called two quadrant converter or four-quadrant converters (if both voltage and current can change direction). It is used as a key device for interfacing the storage device between source and load in renewable energy systems for continuous flow of power because the output of the renewable energy system fluctuates due to changing weather conditions.
There are two modes in a bidirectional converter that is the buck converter and the boost converter. In the buck mode, auxiliary storage is located on the high voltage side whereas, in boost mode, it is situated on the low voltage side.
Introduction to Electric Vehicle & Vehicle-to-Grid(V2G):
Electric Vehicle is an automobile that operates on two or more electric motors powered by a battery pack or combined system of the battery pack and IC engine. There are four types of EVs, as each of them has advantages and disadvantages, they all save fuel and emit fewer GHG than other conventional IC engines. They can also recharge their batteries by the process of regenerative braking, where the electric motor in the EV assists in slowing down the EV and simultaneously recovers portion energy and feeds it to the batteries.
Four types of EVs are as follows:
(1) Hybrid Electric Vehicle (HEV)
(2) Battery Electric Vehicle (BEV)
(3) Plug-in Hybrid Electric Vehicle (PHEV)
(4) Range Extended Electric Vehicle (REEV)
V2G technology can be defined as a system capable enough to control bi-directional flow of electric energy between a vehicle and the electrical grid. The integration of electric vehicles into the power grid is called the vehicle-to-grid system. As conventional converters are unidirectional, they only work in G2V (Grid-to-Vehicle) mode. In V2G technology the grid is feed by the energy stored in the vehicle battery through the bidirectional converter, where power from the vehicle battery is stepped-up by the BDC.
Everywhere DC motors are used in large applications, the use of drives are very necessary for the smooth running and operating of these motors. The DC motor drives are used mainly for good speed regulation, frequent starting, braking and reversing.
Speed control in 3 phase induction motorKakul Gupta
Speed control in induction motors is required for efficient operation
Various methods of speed control through semiconductor devices:
1. Stator voltage control
2. Stator frequency control
3. Stator voltage control
4. Stator current control
5. Static Rotor Resistance Control
6. Slip Energy Recovery Control
Electric Drives and Controls Unit 1 IntroductionDr.Raja R
Electric Drives and Controls
Unit 1 Introduction
Block Diagram of Electric Drive
Power Source
Power Modulator
Load
Control Unit
Sensing Unit
Motor
Classification of Electrical Drives
Advantages of Electrical Drives
Disadvantages of Electrical Drive
Applications of Electrical Drives
Torque Production & Control of Speed in Synchronous Motor.
Speed of synchronous motors can be controlled using two methods called open loop and close loop control.
Open loop contol is the simplest scalar control method where motor speed is controlled by independent frequency control of the converter.
In case of close loop self control mode, instead of controlling the inverter frequency independentaly, the frequency and the phase of the output waveform are controlled by an absolute position encoder mounted on the machine shaft giving an account of position of the rotor.
Three-phase ac motors have been the workhorse of industry since the earliest days of electrical engineering. They are reliable, efficient, cost-effective and need little or no maintenance. In addition, ac motors such as induction and reluctance motors need no electrical connection to the rotor, so can easily be made flameproof for use in hazardous environments such as in mines.
In order to provide proper speed control of an ac motor, it is necessary to supply the motor with a three phase supply of which both the voltage and the frequency can be varied. Such a supply will create a variable speed rotating field in the stator that will allow the rotor to rotate at the required speed with low slip. This ac motor drive can efficiently provide full torque from zero speed to full speed, can overspeed if necessary, and can, by changing phase rotation, easily provide bi-directional operation of the motor. A drive with these characteristics is known as a PWM (Pulse Width Modulated) motor drive.
Drives and motors are an integral part of industrial equipment from packaging,robotics, computer numerical control (CNC), machine tools, industrial pumps,and fans. Designing next-generation drive systems to lower operating costs requires complex control algorithms at very low latencies as well as a flexibleplatform to support changing needs and the ability to design multiple-axis systems.
Traditional drive systems based on ASICs, digital signal processors (DSPs), and microcontroller units lack the performance and flexibility to address these needs. Altera’s family of FPGAs provides a scalable platform that can be used to offload control algorithm elements in hardware. You may also integrate the whole drive system with industry-proven processor architectures while supporting multipletypes of encoders and industrial Ethernet protocols. This “drive on a chip” system reduces cost and simplifies development.
Design and Analysis of DC-DC Bidirectional Converter for Vehicle to Grid Appl...PranayJagtap5
Aim of the Project:
The project aims to design and analysis of bidirectional dc-dc converter for vehicle-to-grid application in Electric Vehicles. The proposed converter can boost the voltage of an energy-storage system (e.g. from battery management system in EV) to a high-voltage AC bus for a particular load demand, during peak load conditions. When the high-voltage AC bus has excess energy, during low load conditions, this energy-storage module can be charged by the AC bus via inverter & bidirectional dc-dc converter.
Problem Statement:
A DC-DC converter is essential for exchanging energy between a storage device and the rest of the system and vise-versa. Such a converter should be able to handle bidirectional power flow capability in all the operating modes with flexible control. Thus, design and analysis of bidirectional DC-DC converters is an important aspect.
Bidirectional DC-DC Converter:
Bidirectional DC-to-DC converter allows power flow in both forward and reverses direction. The bidirectional converter is also called two quadrant converter or four-quadrant converters (if both voltage and current can change direction). It is used as a key device for interfacing the storage device between source and load in renewable energy systems for continuous flow of power because the output of the renewable energy system fluctuates due to changing weather conditions.
There are two modes in a bidirectional converter that is the buck converter and the boost converter. In the buck mode, auxiliary storage is located on the high voltage side whereas, in boost mode, it is situated on the low voltage side.
Introduction to Electric Vehicle & Vehicle-to-Grid(V2G):
Electric Vehicle is an automobile that operates on two or more electric motors powered by a battery pack or combined system of the battery pack and IC engine. There are four types of EVs, as each of them has advantages and disadvantages, they all save fuel and emit fewer GHG than other conventional IC engines. They can also recharge their batteries by the process of regenerative braking, where the electric motor in the EV assists in slowing down the EV and simultaneously recovers portion energy and feeds it to the batteries.
Four types of EVs are as follows:
(1) Hybrid Electric Vehicle (HEV)
(2) Battery Electric Vehicle (BEV)
(3) Plug-in Hybrid Electric Vehicle (PHEV)
(4) Range Extended Electric Vehicle (REEV)
V2G technology can be defined as a system capable enough to control bi-directional flow of electric energy between a vehicle and the electrical grid. The integration of electric vehicles into the power grid is called the vehicle-to-grid system. As conventional converters are unidirectional, they only work in G2V (Grid-to-Vehicle) mode. In V2G technology the grid is feed by the energy stored in the vehicle battery through the bidirectional converter, where power from the vehicle battery is stepped-up by the BDC.
Everywhere DC motors are used in large applications, the use of drives are very necessary for the smooth running and operating of these motors. The DC motor drives are used mainly for good speed regulation, frequent starting, braking and reversing.
Speed control in 3 phase induction motorKakul Gupta
Speed control in induction motors is required for efficient operation
Various methods of speed control through semiconductor devices:
1. Stator voltage control
2. Stator frequency control
3. Stator voltage control
4. Stator current control
5. Static Rotor Resistance Control
6. Slip Energy Recovery Control
Electric Drives and Controls Unit 1 IntroductionDr.Raja R
Electric Drives and Controls
Unit 1 Introduction
Block Diagram of Electric Drive
Power Source
Power Modulator
Load
Control Unit
Sensing Unit
Motor
Classification of Electrical Drives
Advantages of Electrical Drives
Disadvantages of Electrical Drive
Applications of Electrical Drives
Torque Production & Control of Speed in Synchronous Motor.
Speed of synchronous motors can be controlled using two methods called open loop and close loop control.
Open loop contol is the simplest scalar control method where motor speed is controlled by independent frequency control of the converter.
In case of close loop self control mode, instead of controlling the inverter frequency independentaly, the frequency and the phase of the output waveform are controlled by an absolute position encoder mounted on the machine shaft giving an account of position of the rotor.
Three-phase ac motors have been the workhorse of industry since the earliest days of electrical engineering. They are reliable, efficient, cost-effective and need little or no maintenance. In addition, ac motors such as induction and reluctance motors need no electrical connection to the rotor, so can easily be made flameproof for use in hazardous environments such as in mines.
In order to provide proper speed control of an ac motor, it is necessary to supply the motor with a three phase supply of which both the voltage and the frequency can be varied. Such a supply will create a variable speed rotating field in the stator that will allow the rotor to rotate at the required speed with low slip. This ac motor drive can efficiently provide full torque from zero speed to full speed, can overspeed if necessary, and can, by changing phase rotation, easily provide bi-directional operation of the motor. A drive with these characteristics is known as a PWM (Pulse Width Modulated) motor drive.
Drives and motors are an integral part of industrial equipment from packaging,robotics, computer numerical control (CNC), machine tools, industrial pumps,and fans. Designing next-generation drive systems to lower operating costs requires complex control algorithms at very low latencies as well as a flexibleplatform to support changing needs and the ability to design multiple-axis systems.
Traditional drive systems based on ASICs, digital signal processors (DSPs), and microcontroller units lack the performance and flexibility to address these needs. Altera’s family of FPGAs provides a scalable platform that can be used to offload control algorithm elements in hardware. You may also integrate the whole drive system with industry-proven processor architectures while supporting multipletypes of encoders and industrial Ethernet protocols. This “drive on a chip” system reduces cost and simplifies development.
The main objective of this project is controlling speed of BLDC motors with the help of microcontroller. To make the industry automation the equipment and machineries should be controlled automatically. So control of the machineries which involving this motor can be done accurately. It displays its speed using an IR method of speed sensor mechanism.
Speed Control of BLDC Motor with Four Quadrant Operation Using dsPICijsrd.com
Brushless DC (BLDC) motor drives are becoming more popular in industrial and traction applications. Hence the control of BLDC motor in four quadrants is very vital. The flexibility of the drive system is increased using digital controller. In this paper the PWM signals for driving the power inverter bridge for BLDC motor have been successfully implemented using a dsPIC controller and the motor can be controlled in all the four quadrants without any loss of power .Energy is conserved during regenerative braking period. The digital controller dsPIC, is advantageous over other controller, as it combines the calculation capability of digital signal processor and controlling capability of PIC microcontroller to achieve a precise control. Simulation of the proposed model is done by using MATLAB/Simulink.
This predefined speed control of BLDC motor runs a motor at user desired speed by using EEPROM for storing speed. It is an effective speed control method.
Brushles DC motor are one type of motors that are rapidly gaining the popularity and are penetrating in industrial applications, home appliances, automotive, consumer, medical etc. Because of there many advantages such as high efficiency ,silent operation, compact form ,reliability, low maintenance (due to the absence of brushess), long operating life, high speed ranges etc. for the proper commution of current in inverter the rotar position information is necessary, this information is usually provided by the mechanical position sensors mounted within the motor. however it is well known that these position sensors have many drawbacks therefore a sensor less control of BLDC motor is developed which eliminates the sensing equipment ,reduces the cost of motor and increases the reliability of the BLDC motor. In this paper the position information is obtained from the zero crossing detection of the back EMF which is also called as the terminal voltage sensing method which is the simplest ,method of detecting the back EMF zero crossing ,here the motor voltages are sensed and give to the lowpass filter whose output is give to the ZCD which determines the zero crossing of the back EMF waveform and ZCD generates the signal required for the controller to provide the pulses for the inverter operation the controller used is a high performance controller(DSPic30F4011) which as both the features of microcontroller and digital signal processor .The complete model is simulated in MATLAB/SIMULINK software. the proposed hardware and simulation program are found to be efficient and the results are promising
Brushless DC Motor Drive during Speed Regulation with Artificial Neural Netwo...IJERA Editor
Brushless DC motor, at this moment is extensively used being many industrial functions due to the different
features like high efficiency and dynamic response and high speed range. This paper is proposing a technology
named as Artificial Neural Network controller to control the speed of the brushless DC motor. Here the paper
contributes an analysis of performance Artificial Neural Network controller. Because it is difficult to handle by
the use of conventional PID controller as BLDC drive is a nonlinear. Through PID controller, the speed
regulation of BLDC is not efficient and reliable as PID controller cannot operate the large data, results it gives
different variation in BLDC motor control. The ANN easily trains the data of large amount by NN toolbox. As
ANN controller has the strength to indulge characteristics of control and it is accessible to operate the huge
amount of data as like human can store in a mind. The empirical results prove that an ANN controller can better
control the act than the PID controller. The modelling, control and the simulation of the BLDCM get done by
applying MATLAB/SIMULINK software kit.
Speed Control of Brushless Dc Motor Using Fuzzy Logic Controlleriosrjce
This paper presents a control scheme of a fuzzy logic for the brushless direct current (BLDC)
permanent magnet motor drives. The mathematical model of BLDC motor and fuzzy logic algorithm is derived.
The controller is designed to tracks variations of speed references and stabilizes the output speed during load
variations. The BLDC has some advantages compare to the others type of motors, however the nonlinearity of
the BLDC motor drive characteristics, because it is difficult to handle by using conventional proportionalintegral
(PI) controller. The BLDC motor is fed from the inverter where the rotor position and current
controller is the input. In order to overcome this main problem, the fuzzy logic control is learned continuously
and gradually becomes the main effective control. The effectiveness of the proposed method is verified by
develop simulation model in MATLAB-Simulink program. The simulation results show that the proposed fuzzy
logic controller (FLC) produce significant improvement control performance compare to the PI controller for
both condition controlling speed reference variations and load disturbance variations. Fuzzy logic is introduced
in order to suppressing the chattering and enhancing the robustness of the controlled system. Fuzzy boundary
layer is developed to provide smother transition to the equivalent control. Smaller overshoot in the speed
response and much better disturbance rejecting capabilities.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Direct Torque Control (DTC) of Induction Motor drive has quick torque response without complex orientation transformation and inner loop current control. DTC has some drawbacks, such as the torque and flux ripple. The control scheme performance relies on the accurate selection of the switching voltage vector. This proposed simple structured neural network based new identification method for flux position estimation, sector selection and stator voltage vector selection for induction motors using direct torque control (DTC) method. The ANN based speed controller has been introduced to achieve good dynamic performance of induction motor drive. The Levenberg-Marquardt back-propagation technique has been used to train the neural network. Proposed simple structured network facilitates a short training and processing times. The stator flux is estimated by using the modified integration with amplitude limiter algorithms to overcome drawbacks of pure integrator. The conventional flux position estimator, sector selector and stator voltage vector selector based modified direct torque control (MDTC) scheme compared with the proposed scheme and the results are validated through both by simulation and experimentation.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Dynamic Simulation of Induction Motor Drive using Neuro Controlleridescitation
Induction Motors are widely used in Industries, because of the low maintenance
and robustness. Speed Control of Induction motor can be obtained by maximum torque and
efficiency. Apart from other techniques Artificial Intelligence (AI) techniques, particularly
the neural networks, improves the performance & operation of induction motor drives. This
paper presents dynamic simulation of induction motor drive using neuro controller. The
integrated environment allows users to compare simulation results between conventional,
Fuzzy and Neural Network controller (NNW).The performance of fuzzy logic and artificial
neural network based controller's are compared with that of the conventional proportional
integral controller. The dynamic Modeling and Simulation of Induction motor is done using
MATLAB/SIMULINK and the dynamic performance of induction motor drive has been
analyzed for artificial intelligent controller.
This paper presents an enhanced nonlinear PID (NPID) controller to follow a preselected speed profile of brushless DC motor drive system. This objective should be achieved regardless the parameter variations, and external disturbances. The performance of enhanced NPID controller will be investigated by comparing it with linear PID control and fractional order PID (FOPID) control. These controllers are tested for both speed regulation and speed tracking. The optimal parameters values of each control technique were obtained using Genetic Algorithm (GA) based on a certain cost function. Results shows that the proposed NPID controller has better performance among other techniques (PID and FOPID controller).
Simulation DC Motor Speed Control System by using PID Controllerijtsrd
Speed control system is the most common control algorithm used in industry and has been universally accepted in industrial control. One of the applications used here is to control the speed of the DC motor. Controlling the speed of a DC motor is very important as any small change can lead to instability of the closed loop system. The aim of this thesis is to show how DC motor can be controlled by using PID controller in MATLAB. The development of the PID controller with the mathematical model of DC motor is done using automatic tuning method. The PID parameter is to be test with an actual motor also with the PID controller in MATLAB Simulink. In this paper describe the results to demonstrate the effectiveness and the proposed of this PID controller produce significant improvement control performance and advantages of the control system DC motor. Mrs Khin Ei Ei Khine | Mrs Win Mote Mote Htwe | Mrs Yin Yin Mon ""Simulation DC Motor Speed Control System by using PID Controller"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-4 , June 2019, URL: https://www.ijtsrd.com/papers/ijtsrd25114.pdf
Paper URL: https://www.ijtsrd.com/engineering/electrical-engineering/25114/simulation-dc-motor-speed-control-system-by-using-pid-controller/mrs-khin-ei-ei-khine
In this paper, several methods are developed to control the brushless DC (BLDC) motor speed. Since it is difficult to get a good showing by utilizing classical PID controller, the Dynamic Wavelet Neural Network (DWNN) is the proposed work in this paper, with parallel PID controller to obtain an novel controller named DWNN-PID controller. It collects the artificial neural ability of its networks for imparting from motor of BLDC with drive system and the ability of identification for the wavelet decomposition and control of the dynamic system furthermore to have ability for adapting and self-learning. The suggested controller method is utilizing to control the speed of BLDC motor of which supply a better showing than utilizing classical controllers with a wide range of control. The proposed controller parameters are matched continuously using Particle Swarm Optimization (PSO) algorithm. The simulation results based on proposed DWNN-PID controller demonstrate a superior in the stability and performance compared at utilizing classical WNN-PID and conventional PID controllers. The simulation results are accomplished using Matlab/Simulink. It shows that the proposed control scheme has a superior performance.
Speed Control of Induction Motor by V/F MethodIJERA Editor
This paper presents the design & implementation of voltage & frequency ratio constant & controller based on sinusoidal pulse width modulation technique for a single phase induction motor using fuzzy logic. The work involves implementation of an closed loop control scheme for an induction motor. The technique is used extensively in the industry as it provides the accuracy required at minimal cost. V/f controlled motors fall under the category of variable voltage variable frequency drives. The ratio of voltage & frequency must be constant.
Comparison of different controllers for the improvement of Dynamic response o...IJERA Editor
As the technology is fast changing, there is more and more use of machine intelligence in modern motor controllers. These controllers are employed in advanced electric motor drives in particular, the present day Induction motor drives. These systems emulate the human logic. This is particularly useful when the application has poorly defined mathematical model. In this present paper the analysis of fuzzy logic as the artificial intelligence is used. The comparative study of Fuzzy PI, Fuzzy MRAC is made. There is always a compromise of the cost and complexity. So this paper presents a new approach and its dynamic response in comparison to the Fuzzy PI and Fuzzy MRAC. The proposed controller is Fuzzy PI with scaling factors. This approach is validated with the Speed, torque responses of Indirect vector controlled Induction motor (IVCIM) drive.
This paper focuses on the development of a prototype of thruster motor speed controller which exhibits robust performance for an Autonomous underwater vehicle. H infinity based speed controller with particle swarm optimized weights for a sensorless BLDC motor which is used as electrical thruster has been simulated in MATLAB/ SIMULINK and implemented using TI C2000 Delfino LaunchPad LaunchXL-F28377S and BoostXL DRV 8301. A performance comparison in reference tracking has been done with conventional PI controller and experimental results have been discussed in detail. The percentage variation in speed with respect to reference speed of proposed strategy has been observed to be 0.65% whereas it is 1.1% with PI controller. It has also been found that the proposed control strategy exhibits smooth starting with better reference tracking and less torque ripples.
Low cost Real Time Centralized Speed Control of DC Motor Using Lab View -NI U...IJPEDS-IAES
DC motors are an outstanding portion of apparatus used in automotive and automation industrial applications requiring variable speed and load characteristics, due to its ease of controllability. Creating an interface control system for multi DC motor drive operations with centralized speed control, from small-scale models to large industrial applications is in much demand. By using Lab VIEW (laboratory virtual instrument engineering workbench) as the motor controller, we can control a DC motor for multiple purposes using single software environment. The aim of this paper is to propose the centralized speed control of DC motor using Lab VIEW. Here, Lab VIEW is used for simulating the motor, whereas the input armature voltage of the DC motor is controlled using a virtual Knob in Lab VIEW software. The hardware part of the system (DC motor) and the software (in personal computer) are interfaced using a data acquisition card (DAQ) -Model PCI- 6024E. The voltage and Speed response is obtained using LABVIEW software. Using this software, the speed of a group of motors can be controlled from different locations using remote telemetry. The proposed work also focuses on controlling the speed of the individual DC motor using PWM scheme (Duty cycle based Square wave generation) and DAQ. With the help of the DAQ along with Lab VIEW front panel window, the DC motor speed and directions can be changed easily in remote way. In order to test the proposed system the laboratory model for an80W DC motor group (multi drive) is developed for different angular displacements and directions of the motor. The simulation model and experimental results conforms the advantages and robustness of the proposed centralized speed control.
The Indian economy is classified into different sectors to simplify the analysis and understanding of economic activities. For Class 10, it's essential to grasp the sectors of the Indian economy, understand their characteristics, and recognize their importance. This guide will provide detailed notes on the Sectors of the Indian Economy Class 10, using specific long-tail keywords to enhance comprehension.
For more information, visit-www.vavaclasses.com
The French Revolution, which began in 1789, was a period of radical social and political upheaval in France. It marked the decline of absolute monarchies, the rise of secular and democratic republics, and the eventual rise of Napoleon Bonaparte. This revolutionary period is crucial in understanding the transition from feudalism to modernity in Europe.
For more information, visit-www.vavaclasses.com
2024.06.01 Introducing a competency framework for languag learning materials ...Sandy Millin
http://sandymillin.wordpress.com/iateflwebinar2024
Published classroom materials form the basis of syllabuses, drive teacher professional development, and have a potentially huge influence on learners, teachers and education systems. All teachers also create their own materials, whether a few sentences on a blackboard, a highly-structured fully-realised online course, or anything in between. Despite this, the knowledge and skills needed to create effective language learning materials are rarely part of teacher training, and are mostly learnt by trial and error.
Knowledge and skills frameworks, generally called competency frameworks, for ELT teachers, trainers and managers have existed for a few years now. However, until I created one for my MA dissertation, there wasn’t one drawing together what we need to know and do to be able to effectively produce language learning materials.
This webinar will introduce you to my framework, highlighting the key competencies I identified from my research. It will also show how anybody involved in language teaching (any language, not just English!), teacher training, managing schools or developing language learning materials can benefit from using the framework.
Operation “Blue Star” is the only event in the history of Independent India where the state went into war with its own people. Even after about 40 years it is not clear if it was culmination of states anger over people of the region, a political game of power or start of dictatorial chapter in the democratic setup.
The people of Punjab felt alienated from main stream due to denial of their just demands during a long democratic struggle since independence. As it happen all over the word, it led to militant struggle with great loss of lives of military, police and civilian personnel. Killing of Indira Gandhi and massacre of innocent Sikhs in Delhi and other India cities was also associated with this movement.
Read| The latest issue of The Challenger is here! We are thrilled to announce that our school paper has qualified for the NATIONAL SCHOOLS PRESS CONFERENCE (NSPC) 2024. Thank you for your unwavering support and trust. Dive into the stories that made us stand out!
Model Attribute Check Company Auto PropertyCeline George
In Odoo, the multi-company feature allows you to manage multiple companies within a single Odoo database instance. Each company can have its own configurations while still sharing common resources such as products, customers, and suppliers.
The Roman Empire A Historical Colossus.pdfkaushalkr1407
The Roman Empire, a vast and enduring power, stands as one of history's most remarkable civilizations, leaving an indelible imprint on the world. It emerged from the Roman Republic, transitioning into an imperial powerhouse under the leadership of Augustus Caesar in 27 BCE. This transformation marked the beginning of an era defined by unprecedented territorial expansion, architectural marvels, and profound cultural influence.
The empire's roots lie in the city of Rome, founded, according to legend, by Romulus in 753 BCE. Over centuries, Rome evolved from a small settlement to a formidable republic, characterized by a complex political system with elected officials and checks on power. However, internal strife, class conflicts, and military ambitions paved the way for the end of the Republic. Julius Caesar’s dictatorship and subsequent assassination in 44 BCE created a power vacuum, leading to a civil war. Octavian, later Augustus, emerged victorious, heralding the Roman Empire’s birth.
Under Augustus, the empire experienced the Pax Romana, a 200-year period of relative peace and stability. Augustus reformed the military, established efficient administrative systems, and initiated grand construction projects. The empire's borders expanded, encompassing territories from Britain to Egypt and from Spain to the Euphrates. Roman legions, renowned for their discipline and engineering prowess, secured and maintained these vast territories, building roads, fortifications, and cities that facilitated control and integration.
The Roman Empire’s society was hierarchical, with a rigid class system. At the top were the patricians, wealthy elites who held significant political power. Below them were the plebeians, free citizens with limited political influence, and the vast numbers of slaves who formed the backbone of the economy. The family unit was central, governed by the paterfamilias, the male head who held absolute authority.
Culturally, the Romans were eclectic, absorbing and adapting elements from the civilizations they encountered, particularly the Greeks. Roman art, literature, and philosophy reflected this synthesis, creating a rich cultural tapestry. Latin, the Roman language, became the lingua franca of the Western world, influencing numerous modern languages.
Roman architecture and engineering achievements were monumental. They perfected the arch, vault, and dome, constructing enduring structures like the Colosseum, Pantheon, and aqueducts. These engineering marvels not only showcased Roman ingenuity but also served practical purposes, from public entertainment to water supply.
Synthetic Fiber Construction in lab .pptxPavel ( NSTU)
Synthetic fiber production is a fascinating and complex field that blends chemistry, engineering, and environmental science. By understanding these aspects, students can gain a comprehensive view of synthetic fiber production, its impact on society and the environment, and the potential for future innovations. Synthetic fibers play a crucial role in modern society, impacting various aspects of daily life, industry, and the environment. ynthetic fibers are integral to modern life, offering a range of benefits from cost-effectiveness and versatility to innovative applications and performance characteristics. While they pose environmental challenges, ongoing research and development aim to create more sustainable and eco-friendly alternatives. Understanding the importance of synthetic fibers helps in appreciating their role in the economy, industry, and daily life, while also emphasizing the need for sustainable practices and innovation.
Home assignment II on Spectroscopy 2024 Answers.pdf
FPGA Based Speed Control of BLDC Motor
1. Field Programmable Gate Array Based Speed Control of BLDC
Motor
Rajesh M Pindoriya
Indian Institute of Technology
Mandi (IIT Mandi)
S Rajendran
Indian Institute of Technology
Gandhinagar (IITGn)
Dr. P J Chauhan
Marwadi Education Foundation’s
Group of Institutes, Rajkot, India
Co - Authors,
1
2. Motivation and Objective
Basic Understanding about Project work
Introduction : Electrical Drives System
Introduction: BLDC Motor
Flow Chart of Controller
Simulink Model of BLDC Motor
Experimental Setup
Conclusion
References
Outline
2
3. Motivation and Objective
BLDC Motor have higher efficiency and lower maintenance requirement compare to other motors
Conventional motors are not effective and costly
FPGA based controller has more advantages as compared to conventional controller
Motivation
This paper demonstrates the Field Programmable Gate Arrays (FPGAs) of design methodologies
with a focus on motor drives applications
This work presents FPGAs implementation for PWM based speed control of inverter-fed BLDC
motor
The proposed methodology is first simulated for open loop and closed loop speed control. These
simulation results are further verified through lab scale experimental set up
It has been observed that FPGAs based closed loop method improves the transient and steady state
response in speed control of BLDC motor
Objective
3
4. Basic Understanding about Project work
3- Inverter
BLDC Motor
3- Inverter fed BLDC Motor
Speed Controller
(Classical/Modern)
dcI
Actual
speed
Reference
speed
Controlled
gate pulses
Rotorposition
sensor
4
6. BLDC Motor Control Applications
AC, DC
and
Universal
Motors
Transition to
BLDC
Motor
As consumers demand
more energy efficient
products, more BLDC
motors are being used
6
7. BLDC motor is a novel type of DC motor which commutation is done electronically instead of using
brushes
Research shows that the method starts the BLDC motor with large starting torque that can be obtained
by a bipolar drive, and it runs the BLDC motor at high speed that can be driven by unipolar drive[1-3]
Introduction: BLDC Motor
7
8. PI controller 3 Phase inverter
Commutation logic
GatePulses
Speed control
loop
Theta
Error
signalReference
speed
Flow Chart of Controller
Load
8
Actual
speed
9. Start
Set value
100 to 4600 RPM
Check hall sensor signals
Reference value & carrier
value
PWM pulses output
3 phase Inverter
BLDC motor
PI output & generate
PWM pulses
Error = (set speed –
actual speed)
PI controller
Actual speed calculateIf open
loop
Compare reference value &
carrier Value
No
Yes
Closed loop
End
Flowchart for Speed Control of
BLDC Motor
9
10. In particular, the rapid growth of semiconductor technology in recent years makes single
component logic circuits the design trend
FPGA development tools are also very powerful now and easy to use
FPGAs are well-suited for high speed demanding applications
Designers can develop a fully hardware architecture which is dedicated to the control algorithm to
implement [2]
Pros
Flexible programming
Shorter development cycle
Parallel processing
Real time software
Less complicated and more reliable
Lower design cost
Fast execution
High flexibility & stability
Expectable output
Why Choose FPGA?
10
11. Speed control in a BLDC motor involves changing the
applied voltage across the motor phases
This can be done using a sensored method based on the
concept of PWM
A common control algorithm for a permanent-magnet
BLDC motor is PWM control
It is based on the assumption of linear relationship
between the phase current and the torque & speed
Speed regulation is achieved by using two levels of duty
cycles; a high duty D(H) and a low duty D(L)[7]
Digital Control System
DVdcVavg 11
13. Waveforms of Back EMFs & Stator Currents of BLDC Motor
It has been observed back EMFs of BLDC motor is trapezoidal shape and it is constant at
every 60 degree interval
All three phase is 120 degree phase shift to each other
Fig. 1. Back EMFs waveforms when Kp=0.3, Ki=3 Fig. 2. Stator currents of BLDC motor when 𝑲 𝑷= 𝟎. 𝟑, 𝑲𝒊= 𝟑
13
14. Speed Response with PI Controller
Fig. 3. Speed response when Kp=0.3, Ki= 3
We can control speed (transient)
responses of any motor through
gain value of Kp & Ki [10].
As per the criterion of almost
negligible overshoot and
undershoot time, the optimal gain
value of PI controller is found to
be Kp=0.3 and Ki=3.
How to set gain value of the Kp &
Ki parameters???.
Mostly two methods are used for
setting parameter,
(1) Trial & Error
(2) Ziegler Nichols
14
15. Terminal voltage Volts 310
Rated current Amps 4.52
No. of Poles 4
Rated torque N*m 2.2
Resistance Ohms 3.07
Inductance mH 6.57
Rotor inertia kg*m 1.4-1.8
IPM Module PEC16D5M01
Spartan 3A Kit FPGA
Voltage Constant Volts 5
Torque Constant N*m 0.49
Auto Transformer
Current Rating
Amps 4
Experimental Parameters
Sensor Clockwise Direction
H
A
H
B
H
C
S 1 S 2 S 3 S 4 S 5 S 6
0 0 1 0 0 0 1 1 0
0 1 0 1 0 0 0 0 1
0 1 1 1 0 0 1 0 0
1 0 0 0 1 1 0 0 0
1 1 0 0 0 1 0 1 0
1 1 1 0 0 1 0 0 1
Table I Experimental parameters Table II Clockwise sensor and drive
15
17. PWM Waveforms on DSO
Fig.5. PWM waveforms on DSO Fig.6. PWM waveforms on DSO
17
18. Speed Response of Open Loop BLDC Motor
Fig. 7. Rotor speed of 1173 RPM at duty cycle of 28%
(forward to reverse)
Fig. 8. Rotor speed of 2065 RPM at duty cycle of 50%
(reverse to forward)
18
19. Speed Response of Closed Loop
.
Fig.9. Set speed 1000 PRM & actual speed 993 RPM
(reverse to forward)
Closed loop method for speed control of BLDC motor is best comparing to open loop method
In this method speed control according to our reference speed value
In this diagram set (reference) value is 1000 RPM and actual value of speed is 993 RPM
Fig. 10. set speed (1000 RPM) & Actual (981 RPM)
(forward to reverse)
19
20. Sr. No Duty cycle (%)
(Open loop)
Speed (RPM)
(Open loop)
Reference speed
(Closed loop)
Actual speed
(Closed loop)
1 30 300 550 553
2 40 700 1000 993
3 50 1500 2002 2002
4 60 1950 2500 2542
5 70 2550 3000 3005
Speed have been control of BLDC motor in both direction, one is forward and reverse
direction
As well as we can apply break operation in within a few second, so it has been simple to
control speed of BLDC Motor using FPGA platform
Summary of The Experimental Results
20
21. Conclusion
This paper work demonstrates the use of an efficient and lower cost controller based on FPGAs
programming to control the speed of BLDC motor
The advantages of digital hardware are - very high speed and easily adjusted to comply with
software
The use of FPGAs in digital control can be easily adapted to analog control
The simulation results and that verified through experiments have demonstrated the effectiveness
of PWM technique for speed control of BLDC motor and its practical applications
Using FPGA platform any drives are easily controlled, least time consuming, real time control
action, parallel processing and transient response is good compare to microcontroller
21
22. 1. E. Monmasson, M. N. Cirstea, “FPGA Design Methodology for Industrial Control System- A
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FPGAs-based controllers for empower electronics and drive applications,” in Proc. ICIEA’2010 Conf.,
Taichung, Taiwan, pp. 2328–2338, 2010.
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inverters,” IEEE Trans. Power Electron., vol. 12, no. 6, pp. 953–963, Nov. 1997.
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References
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23. 7. E. Monmasson, M. W. Naouar, and L. Idkhajine, “FPGAs-based controllers for power electronics and
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