DocumentCode :
3578572
Title :
PSO algorithm for Three Phase Induction Motor drive with SVPWM Switching and V/f Control
Author :
Ali, Jamal Ali ; Hannan, M.A. ; Mohamed, Azah
Author_Institution :
Dept. of Electr., Univ. Kebangsaan Malaysia, Bangi, Malaysia
fYear :
2014
Firstpage :
250
Lastpage :
254
Abstract :
Optimization techniques are become more popular for the improvement in control of Three Phase Induction Motor (TIM). Also the Volt/Hz (V/f) control and space vector pulse width modulation (SVPWM) are used to reduce the harmonics level related to other control and modulation techniques. This paper deals with the tuning of PI controller parameters to be used in TIM. Particle Swarm Optimization (PSO) algorithm is used to tune each parameter of PI speed controller to improve the speed response performance of the TIM. By designing appropriate PSO algorithm, Kp and Ki of the PI speed controller parameters are tuned for TIM operation with SVPWM Switching and V/f Control. The performance of PI speed controller on the TIM is measured by estimating the change of speed and torque under speed response condition. It is found that the performance of the PI controller is robust in terms of overshoot, settling time, steady state error and RMSE.
Keywords :
PI control; angular velocity control; harmonics suppression; induction motor drives; machine control; mean square error methods; particle swarm optimisation; pulse width modulation; robust control; torque control; PI speed controller; PSO algorithm; RMSE; SVPWM switching control; TIM; V/f control; Volt-Hz control; harmonic reduction; particle swarm optimization; space vector pulse width modulation; speed response; steady state error; three phase induction motor drive; torque control; Conferences; Equations; Induction motor drives; Mathematical model; Robustness; Space vector pulse width modulation; (PSO-PI) controller; SVPWM; V/f controller; inverter; particle swarm optimization; three-phase induction machine;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power and Energy (PECon), 2014 IEEE International Conference on
Print_ISBN :
978-1-4799-7296-8
Type :
conf
DOI :
10.1109/PECON.2014.7062451
Filename :
7062451
Link To Document :
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