This document outlines the course structure for EE 1253 - Control System. The course is divided into 5 units that cover topics such as control system modeling, time response analysis, frequency response analysis, stability analysis, and state variable analysis. Assignments will include problems on translational and rotational mechanical systems, root locus technique, and state space representations. Seminar topics include open and closed loop systems, first order systems, and state space representations for discrete time systems. The course instructor is S. Prakash and their contact information is provided.
Speed Sensorless Vector Control of Unbalanced Three-Phase Induction Motor wit...IAES-IJPEDS
This paper presents a technique for speed sensorless Rotor Flux Oriented Control (RFOC) of 3-phase Induction Motor (IM) under open-phase fault (unbalanced or faulty IM). The presented RFOC strategy is based on rotational transformation. An adaptive sliding mode control system with an adaptive switching gain is proposed instead of the speed PI controller. Using an adaptive sliding mode control causes the proposed speed sensorless RFOC drive system to become insensitive to uncertainties such as load disturbances and parameter variations. Moreover, with adaptation of the sliding switching gain, calculation of the system uncertainties upper bound is not needed. Finally, simulation results have been presented to confirm the good performance of the proposed method.
Novel Method of FOC to Speed Control in Three-Phase IM under Normal and Fault...IJPEDS-IAES
This paper proposes a novel method for speed control of three-phase
induction motor (IM) which can be used for both healthy three-phase IM and
three-phase IM under open-phase fault. The proposed fault-tolerant control
system is derived from conventional field-oriented control (FOC) algorithm
with minor changes on it. The presented drive system is based on using an
appropriate transformation matrix for the stator current variables. The
presented method in this paper can be also used for speed control of singlephase
IMs with two windings. The feasibility of the proposed strategy is
verified by simulation results.
International Journal of Engineering Research and DevelopmentIJERD Editor
Electrical, Electronics and Computer Engineering,
Information Engineering and Technology,
Mechanical, Industrial and Manufacturing Engineering,
Automation and Mechatronics Engineering,
Material and Chemical Engineering,
Civil and Architecture Engineering,
Biotechnology and Bio Engineering,
Environmental Engineering,
Petroleum and Mining Engineering,
Marine and Agriculture engineering,
Aerospace Engineering.
Speed Control of Induction Motor using FOC MethodIJERA Editor
An increasing number of applications in high performing electrical drive systems use nowadays, squirrel-cage induction motors. This paper describes a simplified method for the speed control of a three phase AC drive using Proportional-Integral controller. The simulation results show that the step response of the model is very fast, steady and able to work in four quadrants, and robustness and high performance is achieved.
Speed Sensorless Vector Control of Unbalanced Three-Phase Induction Motor wit...IAES-IJPEDS
This paper presents a technique for speed sensorless Rotor Flux Oriented Control (RFOC) of 3-phase Induction Motor (IM) under open-phase fault (unbalanced or faulty IM). The presented RFOC strategy is based on rotational transformation. An adaptive sliding mode control system with an adaptive switching gain is proposed instead of the speed PI controller. Using an adaptive sliding mode control causes the proposed speed sensorless RFOC drive system to become insensitive to uncertainties such as load disturbances and parameter variations. Moreover, with adaptation of the sliding switching gain, calculation of the system uncertainties upper bound is not needed. Finally, simulation results have been presented to confirm the good performance of the proposed method.
Novel Method of FOC to Speed Control in Three-Phase IM under Normal and Fault...IJPEDS-IAES
This paper proposes a novel method for speed control of three-phase
induction motor (IM) which can be used for both healthy three-phase IM and
three-phase IM under open-phase fault. The proposed fault-tolerant control
system is derived from conventional field-oriented control (FOC) algorithm
with minor changes on it. The presented drive system is based on using an
appropriate transformation matrix for the stator current variables. The
presented method in this paper can be also used for speed control of singlephase
IMs with two windings. The feasibility of the proposed strategy is
verified by simulation results.
International Journal of Engineering Research and DevelopmentIJERD Editor
Electrical, Electronics and Computer Engineering,
Information Engineering and Technology,
Mechanical, Industrial and Manufacturing Engineering,
Automation and Mechatronics Engineering,
Material and Chemical Engineering,
Civil and Architecture Engineering,
Biotechnology and Bio Engineering,
Environmental Engineering,
Petroleum and Mining Engineering,
Marine and Agriculture engineering,
Aerospace Engineering.
Speed Control of Induction Motor using FOC MethodIJERA Editor
An increasing number of applications in high performing electrical drive systems use nowadays, squirrel-cage induction motors. This paper describes a simplified method for the speed control of a three phase AC drive using Proportional-Integral controller. The simulation results show that the step response of the model is very fast, steady and able to work in four quadrants, and robustness and high performance is achieved.
Transient Stability Assessment and Enhancement in Power SystemIJMER
Power system is subjected to sudden changes in load levels. Stability is an important concept
which determines the stable operation of power system. For the improvement of transient stability the
general methods adopted are fast acting exciters, circuit breakers and reduction in system transfer
reactance. The modern trend is to employ FACTS devices in the existing system for effective utilization
of existing transmission resources. The critical clearing time is a measure to assess transient instability.
Using PSAT, the critical clearing time (CCT) corresponding to various faults are calculated. The most
critical faults were identified using this calculation. The CCT for the critical faults were found to change
with change in operating point. The CCT values are predicted using Artificial Neural Network (ANN) to
study the training effects of ANN. TCSC is selected as the FACTS device for transient stability
enhancement. Particle Swarm Optimization method is used to find the optimal position of TCSC using
the objective function real power loss minimization. The result shows that the technique effectively
increases the transient stability of the system
Small-Signal (or Small Disturbance) Stability is the ability of a power system to maintain synchronism when subjected to small disturbances
such disturbances occur continually on the system due to small variations in loads and generation
disturbance considered sufficiently small if linearization of system equations is permissible for analysis
Corresponds to Liapunov's first method of stability analysis
Small-signal analysis using powerful linear analysis techniques provides valuable information about the inherent dynamic characteristics of the power system and assists in its robust design
Mr. C.S.Satheesh, M.E.,
Basic elements in control systems
System
Types of Control Systems
Open Loop Control Systems
Closed Loop Control Systems
Difference Between Open loop & Closed loop Control Systems
This presentation is about power system voltage stability.
What is voltage stability?
How voltage instability occurs?
How to improve voltage stability of the system?
Implementation of closed loop control technique for improving the performance...IJERA Editor
this review paper presents closed loop control techniques for controlling the inverter working under different load or KVA ratings. The control strategy of the inverter must guarantee its output waveforms to be sinusoidal with fundamental harmonic. For this purpose, close loop current control strategies such as H∞ repetitive controller, dual closed-loop feedback control, Adaptive Voltage Control, SRFPI controller, Optimal Neural Controller, etc. have been used to meet the power quality requirements imposed by IEEE Interconnection Standards. Based on present scenario regarding energy crises, immediate action is the use of different renewable energy sources (RESs) . Out of RESs, solar is gaining more attention. It is very important to design and developed a system which should be efficient enough to utilize the extracted energy for different types of load and feeding of energy into utility grid. Since experimentation and comparison of such inverter models on hardware being relatively expensive, the latest computing tool like MATLAB are considered to be a better alternative to simulate the outcomes of such expensive systems. The proposed closed loop control technique for the inverter working under linear and nonlinear system will be implemented in MATLAB/SIMULINK working platform and results will be analyzed to check its benefits.
Low Speed Estimation in Sensorless Direct Torque Controlled Induction Motor D...IJPEDS-IAES
Sensorless Direct Torque Control (DTC) is a powerful control scheme for
high performance control of induction motor (IM) drives, which provides
very quick dynamic response with simple structure and a decoupled control
of torque and flux. The performance of the DTC drive greatly depends on the
accuracy of the estimated flux components, torque and speed, using
monitored stator voltages and currents. Low speed estimation is a great
challenge because of the presence of transient offset, drift and domination of
ohmic voltage drop.Extended Kalman filter (EKF) is a non linear adaptive
filter which performs the process of finding the best estimate from the noisy
data based on state space technique and recursive algorithm.This paper
mainly focuses on the accurate estimation of speed ranging from very low
speed to rated speed using the equation of motion. A new state space model
of the IM is developed for estimation in EKF, with load torque as an input
variable and not as an estimated quantity which is the case in most previous
studies.The developed algorithm is validated using MATLAB-Simulink
platform for speeds ranging from low speed to rated speed at rated torque and
at various torque conditions. An exhaustive analysis is carried out to validate
the performance of DTC Induction motor drive especially at the low speeds.
The results are promising for accurate estimation of speed ranging from low
speed to rated speed using EKF.
Mr. C.S.Satheesh, M.E.,
Servomotor
Control motors
Two Phase AC Servo Motor
Three Phase AC Servo Motor
DC Servo Motor
AC Servo Motor
Control Type Synchro.
Torque Transmission Type Synchro
Synchros
Comparative Analysis of Power System Stabilizer using Artificial Intelligence...ijsrd.com
Power system stabilizers (PSSs) are used to enhance the damping during low frequency oscillations. The paper presents study of power system stabilizer using fuzzy logic and neural network to enhance stability of single machine infinite bus system. In this paper basic problem of conventional power system stabilizer for stability enhancement is defined which is traditionally used. Artificial intelligence techniques provide one alternative for stability enhancement and speed deviation (Δw). The proposed method using Artificial intelligence techniques achieves better improvement than conventional power system stabilizer. Fuzzy logic rules were developed for triangular membership function of input and output variables. Neuro controller is implemented and it is compared with reference model. The system is simulated in SIMULINK environment and the performances of conventional, Fuzzy based and Neural network based power system stabilizers are compared.
Transient Stability Assessment and Enhancement in Power SystemIJMER
Power system is subjected to sudden changes in load levels. Stability is an important concept
which determines the stable operation of power system. For the improvement of transient stability the
general methods adopted are fast acting exciters, circuit breakers and reduction in system transfer
reactance. The modern trend is to employ FACTS devices in the existing system for effective utilization
of existing transmission resources. The critical clearing time is a measure to assess transient instability.
Using PSAT, the critical clearing time (CCT) corresponding to various faults are calculated. The most
critical faults were identified using this calculation. The CCT for the critical faults were found to change
with change in operating point. The CCT values are predicted using Artificial Neural Network (ANN) to
study the training effects of ANN. TCSC is selected as the FACTS device for transient stability
enhancement. Particle Swarm Optimization method is used to find the optimal position of TCSC using
the objective function real power loss minimization. The result shows that the technique effectively
increases the transient stability of the system
Small-Signal (or Small Disturbance) Stability is the ability of a power system to maintain synchronism when subjected to small disturbances
such disturbances occur continually on the system due to small variations in loads and generation
disturbance considered sufficiently small if linearization of system equations is permissible for analysis
Corresponds to Liapunov's first method of stability analysis
Small-signal analysis using powerful linear analysis techniques provides valuable information about the inherent dynamic characteristics of the power system and assists in its robust design
Mr. C.S.Satheesh, M.E.,
Basic elements in control systems
System
Types of Control Systems
Open Loop Control Systems
Closed Loop Control Systems
Difference Between Open loop & Closed loop Control Systems
This presentation is about power system voltage stability.
What is voltage stability?
How voltage instability occurs?
How to improve voltage stability of the system?
Implementation of closed loop control technique for improving the performance...IJERA Editor
this review paper presents closed loop control techniques for controlling the inverter working under different load or KVA ratings. The control strategy of the inverter must guarantee its output waveforms to be sinusoidal with fundamental harmonic. For this purpose, close loop current control strategies such as H∞ repetitive controller, dual closed-loop feedback control, Adaptive Voltage Control, SRFPI controller, Optimal Neural Controller, etc. have been used to meet the power quality requirements imposed by IEEE Interconnection Standards. Based on present scenario regarding energy crises, immediate action is the use of different renewable energy sources (RESs) . Out of RESs, solar is gaining more attention. It is very important to design and developed a system which should be efficient enough to utilize the extracted energy for different types of load and feeding of energy into utility grid. Since experimentation and comparison of such inverter models on hardware being relatively expensive, the latest computing tool like MATLAB are considered to be a better alternative to simulate the outcomes of such expensive systems. The proposed closed loop control technique for the inverter working under linear and nonlinear system will be implemented in MATLAB/SIMULINK working platform and results will be analyzed to check its benefits.
Low Speed Estimation in Sensorless Direct Torque Controlled Induction Motor D...IJPEDS-IAES
Sensorless Direct Torque Control (DTC) is a powerful control scheme for
high performance control of induction motor (IM) drives, which provides
very quick dynamic response with simple structure and a decoupled control
of torque and flux. The performance of the DTC drive greatly depends on the
accuracy of the estimated flux components, torque and speed, using
monitored stator voltages and currents. Low speed estimation is a great
challenge because of the presence of transient offset, drift and domination of
ohmic voltage drop.Extended Kalman filter (EKF) is a non linear adaptive
filter which performs the process of finding the best estimate from the noisy
data based on state space technique and recursive algorithm.This paper
mainly focuses on the accurate estimation of speed ranging from very low
speed to rated speed using the equation of motion. A new state space model
of the IM is developed for estimation in EKF, with load torque as an input
variable and not as an estimated quantity which is the case in most previous
studies.The developed algorithm is validated using MATLAB-Simulink
platform for speeds ranging from low speed to rated speed at rated torque and
at various torque conditions. An exhaustive analysis is carried out to validate
the performance of DTC Induction motor drive especially at the low speeds.
The results are promising for accurate estimation of speed ranging from low
speed to rated speed using EKF.
Mr. C.S.Satheesh, M.E.,
Servomotor
Control motors
Two Phase AC Servo Motor
Three Phase AC Servo Motor
DC Servo Motor
AC Servo Motor
Control Type Synchro.
Torque Transmission Type Synchro
Synchros
Comparative Analysis of Power System Stabilizer using Artificial Intelligence...ijsrd.com
Power system stabilizers (PSSs) are used to enhance the damping during low frequency oscillations. The paper presents study of power system stabilizer using fuzzy logic and neural network to enhance stability of single machine infinite bus system. In this paper basic problem of conventional power system stabilizer for stability enhancement is defined which is traditionally used. Artificial intelligence techniques provide one alternative for stability enhancement and speed deviation (Δw). The proposed method using Artificial intelligence techniques achieves better improvement than conventional power system stabilizer. Fuzzy logic rules were developed for triangular membership function of input and output variables. Neuro controller is implemented and it is compared with reference model. The system is simulated in SIMULINK environment and the performances of conventional, Fuzzy based and Neural network based power system stabilizers are compared.
Sun tracking schemes for photovoltaic panelsavocado1111
Presented at 3rd International Conference on the Developments in Renewable Energy Technology, ICDRET 2014, on January 9-11, 2014 at Dhaka, Bangladesh
http://icdret.uiu.ac.bd/
Award: Prof. H. Rashid Best Paper Presentation Award (2nd Position)
Presented by: Samiul Alam
Implementing Electrical and Simulation Rule Checks to ensure Signal QualityEMA Design Automation
Join Matthew Harms as he discusses a unique multi-tiered strategy to board analysis & verification designed to enable designers of all skill levels to analyze their PCB designs early in the development cycle when the cost of change is the lowest. Matthew will show how Cadence has created a multi-tier analysis environment that lets designers start with a set of pre-defined Electrical Rule Checks (ERC) that can be run on the board to quickly identify areas of interest or concern all without the need for any complex models or configurations. Based on these initial 1st order results Matthew will show how design teams can then effectively target critical nets with 2nd order (Simulation Rule Checks) and 3rd order (Power Aware Signal Integrity) analysis as needed to simulate with greater detail and achieve complete electrical design signoff.
Instructions for Submissions thorugh G- Classroom.pptxJheel Barad
This presentation provides a briefing on how to upload submissions and documents in Google Classroom. It was prepared as part of an orientation for new Sainik School in-service teacher trainees. As a training officer, my goal is to ensure that you are comfortable and proficient with this essential tool for managing assignments and fostering student engagement.
The Art Pastor's Guide to Sabbath | Steve ThomasonSteve Thomason
What is the purpose of the Sabbath Law in the Torah. It is interesting to compare how the context of the law shifts from Exodus to Deuteronomy. Who gets to rest, and why?
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
Welcome to TechSoup New Member Orientation and Q&A (May 2024).pdfTechSoup
In this webinar you will learn how your organization can access TechSoup's wide variety of product discount and donation programs. From hardware to software, we'll give you a tour of the tools available to help your nonprofit with productivity, collaboration, financial management, donor tracking, security, and more.
Ethnobotany and Ethnopharmacology:
Ethnobotany in herbal drug evaluation,
Impact of Ethnobotany in traditional medicine,
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Bio-prospecting tools for drug discovery,
Role of Ethnopharmacology in drug evaluation,
Reverse Pharmacology.
1. EE 1253 - CONTROL SYSTEM
SEM: IV YEAR: II DEPT: EEE
S.PRAKASH
SR.LECT/ EEE
(2012)
S.PRAKASH,SR. LECT / EEE 1
2. EE 1253 CONTROL SYSTEM
UNIT - 1 CONTROL SYSTEM MODELING
• Basic elements of control system .
UNIT - 2 • Open loop and closed loop systems
• Transfer function
• Translational and rotational mechanical systems
UNIT - 3 • Block diagram reduction techniques
• Signal flow graph.
UNIT - 4
UNIT - 5
S.PRAKASH,SR. LECT / EEE 2
3. EE 1253 CONTROL SYSTEM
UNIT - 1 TIME RESPONSE ANALYSIS
• Time response analysis
• First order systems
UNIT - 2 • Impulse and step response analysis of
second order systems
• Steady state errors
UNIT - 3
• P, PI, PD and PID compensation
UNIT - 4
UNIT - 5
S.PRAKASH,SR. LECT / EEE 3
4. EE 1253 CONTROL SYSTEM
UNIT - 1 FREQUENCY RESPONSE ANALYSIS
• Bode plot
• Polar plot
UNIT - 2
• Nyquist plot
• Lead – Lag – Lead lag compensators
UNIT - 3
UNIT - 4
UNIT - 5
S.PRAKASH,SR. LECT / EEE 4
5. EE 1253 CONTROL SYSTEM
UNIT - 1 STABILITY ANALYSIS
• Routh-hurwitz criterion
• Root locus technique
UNIT - 2
• Construction of root locus
• Dominant poles
• Application of root locus diagram
UNIT - 3
• Nyquist stability criterion Relative
stability
UNIT - 4
UNIT - 5
S.PRAKASH,SR. LECT / EEE 5
6. EE 1253 CONTROL SYSTEM
UNIT - 1 STATE VARIABLE ANALYSIS & DIGITAL
CONTROL SYSTEMS
UNIT - 2
• State space representation of continuous
time systems
UNIT - 3 • Transfer function from state variable
representation
• Concepts of controllability and
UNIT - 4 observability
• Sampling theorem – Sample and hold
UNIT - 5 S.PRAKASH,SR. LECT / EEE 6
7. EE 1253 CONTROL SYSTEM
TEXT BOOK REFERENCE BOOK
S.PRAKASH,SR. LECT / EEE 7
8. EE 1253 CONTROL SYSTEM
ASSIGNMENT TOPICS
• Translational and rotational mechanical system
• Time response analysis
• Bode plot, polar plot.
• Root locus technique and construction
• State space representation of continuous time
system
• Past university exam 2 marks
S.PRAKASH,SR. LECT / EEE 8
9. EE 1253 CONTROL SYSTEM
SEMINAR TOPICS
• Open loop and closed loop systems
• First order systems
• Series-parallel compensators
• Relative stability
• State space response representation for
discrete time system
S.PRAKASH,SR. LECT / EEE 9
10. EE 1253 CONTROL SYSTEM
MAIL ID:
sprakash@parisuthamtech.co.in
S.PRAKASH,SR. LECT / EEE 10
