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Title: Optimal gain tuning of PI speed controller in induction motor drives using particle swarm optimization
Authors: Thangaraj R.
Chelliah, Thanga Raj
Pant M.
Abraham A.
Grosan C.
Published in: Logic Journal of the IGPL
Abstract: This article presents particle swarm optimization (PSO)-based optimal gain tuning of proportional integral (PI) speed controller in an induction motor (IM) drive (30 hp) with mine hoist load diagram. Optimization considers the load and speed variations, and provides appropriate gains to the speed controller to obtain good dynamic performance of the motor. IM performance is checked with the optimal gains through the simulation studies in MATLAB/SIMULINK environment. Results are compared with hand tuning (fixed gains) and fuzzy logic (FL) speed controller. Hybrid of FL and PSO-based PI controller for the speed control of given motor is also performed to eliminate the drawbacks of PI controller (overshoot and undershoot) and FL controller (steady-state error). From the simulation studies, hybrid controller produces better performance in terms of rise time, overshoot and settling time. © The Author 2010. Published by Oxford University Press. All rights reserved.
Citation: Logic Journal of the IGPL (2011), 19(2): 343-356
Issue Date: 2011
Keywords: Fuzzy logic
Gain tuning
Induction motor drives
Particle swarm optimization
Speed controller
ISSN: 13670751
Author Scopus IDs: 24345289500
Author Affiliations: Thangaraj, R., Indian Institute of Technology, Roorkee, 247001, India
Chelliah, T.R., Indian Institute of Technology, Roorkee, 247001, India
Pant, M., Indian Institute of Technology, Roorkee, 247001, India
Abraham, A., Machine Intelligence Research Labs (MIR Labs), Scientific Network for Innovation and Research Excellence, WA, United States
Grosan, C., Department of Computer Science, Babes-Bolyai University, Cluj-Napoca, Romania
Corresponding Author: Thangaraj, R.; Indian Institute of Technology, Roorkee, 247001, India; email:
Appears in Collections:Journal Publications [WR]

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