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Fuzzy logic controller optimized by particle swarm optimization for DC motor speed control

Version 2 2024-06-06, 11:32
Version 1 2016-01-19, 17:12
conference contribution
posted on 2024-06-06, 11:32 authored by R Rahmani, MS Seyedmahmoudian, S Mekhilef, AA Shojaei
In this paper, we presented an optimized fuzzy logic controller using particle swarm optimization for DC motor speed control. The controller model is simulated using MATLAB software and also experimentally tested on a laboratory DC motor. A comparison of the performance of different controllers such as PID controller, fuzzy logic controller and optimized fuzzy logic controller is presented as well. With reference to the results of digital simulations and experiment, the designed FLC-PSO speed controller obtains much better dynamic behavior compared to PID and the normal FLC designed. Moreover, it can acquire superior performance of the DC motor, and also perfect speed tracking with no overshoot. The optimized membership functions (MFs) are obviously proved to be able to provide a better performance and higher robustness in comparison with a regular fuzzy model, when the MFs were heuristically defined. Besides, experimental results verify the ability of proposed FLC under sudden change of the load torque which leads to speed variances.

History

Pagination

109-113

Location

Penang, Malaysia

Start date

2012-12-05

End date

2012-12-06

ISBN-13

9781467351584

Language

eng

Publication classification

E Conference publication, E1.1 Full written paper - refereed

Copyright notice

2012, IEEE

Title of proceedings

SCOReD 2012 : Proceedings of the IEEE Student Conference on Research and Development

Event

IEEE Student Conference on Research and Development (2012 : Penang, Malaysia)

Publisher

IEEE

Place of publication

Piscataway, N.J.