Concurrent PI Controller Design for Indirect Vector Controlled Induction Motor

2018 ◽  
Vol 22 (1) ◽  
pp. 130-142 ◽  
Author(s):  
Jitendra Kumar Jain ◽  
Sandip Ghosh ◽  
Somnath Maity
Keyword(s):  
Induction Motor ◽  
Controller Design ◽  
Pi Controller

PI controller design for indirect vector controlled induction motor: A decoupling approach

2017 ◽  
Vol 70 ◽  
pp. 378-388 ◽  
Author(s):  
Jitendra Kr. Jain ◽  
Sandip Ghosh ◽  
Somnath Maity ◽  
Pawel Dworak
Keyword(s):  
Induction Motor ◽  
Controller Design ◽  
Pi Controller ◽  
Decoupling Approach

scholarly journals Variable Gain PI Controller Design For Speed Control of a Doubly Fed Induction Motor Using State-Space Nonlinear Approach

2013 ◽  
Vol 3 (3) ◽  
pp. 433-439 ◽  
Author(s):  
T. Mohammed Chikouche ◽  
A. Mezouar ◽  
T. Terras ◽  
S. Hadjeri
Keyword(s):  
State Space ◽  
Induction Motor ◽  
Controller Design ◽  
Speed Control ◽  
Pi Controller ◽  
Field Orientation ◽  
Decoupling Method ◽  
Variable Gain ◽  
Speed Regulation ◽  
Doubly Fed

This paper presents a comparison between a variable gain PI controller and a conventional PI  controller used for speed  control with an indirect field orientation control of a Doubly Fed Induction Motor (DFIM), fed by two PWM inverters with a separate DC bus link. By introducing a new approach for decoupling the motor’s currents in a rotating (d-q) frame, based on the state space input-output decoupling method, we obtain the same transfer function (1/s) for all four decoupled currents. Thereafter, and in order to improve control performance, the VGPI controller was used for speed regulation. The results obtained in Matlab/Simulink environment illustrate the effectiveness of the technique employed for the decoupling and for speed regulation.

Decentralized robust PI controller design for an industrial boiler

2009 ◽  
Vol 19 (2) ◽  
pp. 216-230 ◽  
Author(s):  
Batool Labibi ◽  
Horacio Jose Marquez ◽  
Tongwen Chen
Keyword(s):  
Controller Design ◽  
Pi Controller ◽  
Industrial Boiler

IMPROVED INDIRECT FIELD-ORIENTED CONTROL OF INDUCTION MOTOR DRIVE BASED PSO ALGORITHM

2016 ◽  
Vol 78 (6-2) ◽  
Author(s):  
Jamal Abd Ali ◽  
M A Hannan ◽  
Azah Mohamed
Keyword(s):  
Induction Motor ◽  
Speed Control ◽  
Pso Algorithm ◽  
Pi Controller ◽  
Field Oriented Control ◽  
Variable Speed ◽  
Three Phase ◽  
Indirect Field Oriented Control ◽  
Speed Response ◽  
Variable Speed Control

Optimization techniques are increasingly used in research to improve the control of three-phase induction motor (TIM). Indirect field-oriented control (IFOC) scheme is employed to improve the efficiency and enhance the performance of variable speed control of TIM drives. The space vector pulse width modulation (SVPWM) technique is used for switching signals in a three-phase bridge inverter to minimize harmonics in the output signals of the inverter. In this paper, a novel scheme based on particle swarm optimization (PSO) algorithm is proposed to improve the variable speed control of IFOC in TIM. The PSO algorithm is used to search the best values of parameters of proportional-integral (PI) controller (proportional gain (kp) and integral gain (ki)) for each speed controller and voltage controller to improve the speed response for TIM. An optimal PI controller-based objective function is also used to tune and minimize the mean square error (MSE). Results of all tests verified the robustness of the PSO-PI controller for speed response in terms of damping capability, fast settling time, steady state error, and transient responses under different conditions of mechanical load and speed.

PSO OPTIMIZATION FOR SOLAR SYSTEM INVERTER CONTROLLER AND COMPARISON BETWEEN TWO CONTROLLER TECHNIQUES

2016 ◽  
Vol 78 (6-2) ◽  
Author(s):  
Maher. G. M. Abdolrasol ◽  
M A Hannan ◽  
Azah Mohamed
Keyword(s):  
Solar System ◽  
Controller Design ◽  
Pso Algorithm ◽  
Pi Controller ◽  
Housing Unit ◽  
Current Waveform ◽  
Phase Voltage ◽  
Swarm Optimization ◽  
Three Phase ◽  
Controller Performance

This paper explains a deep comparison between two controller techniques firstly controller control on modulation index and the second controller use dq method. Both of these controller approaches have control on three phase voltage and use the same system unchanged. The system is a solar system together with a backup battery connected to a single housing unit. Particle Swarm Optimization (PSO) algorithm has been utilized to improve the controller performance by automatically finding its parameters in order to reduce the error in the proportional Integral (PI) controller. Optimization process has been done with a real recording data of housing unit demand in Malaka, Malaysia. System has been simulated and tested in MATLAB/Simulink environment with m-file runs PSO algorithm and simulate the system hundreds of times to get the best results showing in this paper. Comparisons were taking place in controller design and in the simulation results that express the strength and weaken points of each controller starts with THD voltage and current waveform and RMS voltage in each controller.  

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