Research Article Open Access

Speed Control of Switched Reluctance Motor Using New Hybrid Particle Swarm Optimization

T. V. Mahendiran1, K. Thanushkodi1 and P. Thangam2
  • 1 , India
  • 2 Sri Ramakrishna Engineering College, India
Journal of Computer Science
Volume 8 No. 9, 2012, 1473-1477

DOI: https://doi.org/10.3844/jcssp.2012.1473.1477

Submitted On: 10 May 2012 Published On: 10 August 2012

How to Cite: Mahendiran, T. V., Thanushkodi, K. & Thangam, P. (2012). Speed Control of Switched Reluctance Motor Using New Hybrid Particle Swarm Optimization. Journal of Computer Science, 8(9), 1473-1477. https://doi.org/10.3844/jcssp.2012.1473.1477

Abstract

Problem statement: The main objective of this research is to obtain the speed control of switched reluctance motor with minimum settling time and without overshoot. Approach: A new algorithm has been developed with the combination of differential evolution and particle swarm optimization and applied for speed control of switched reluctance motor under sudden change in speed. Also speed control of switched reluctance motor was obtained by other artificial intelligence methods such as fuzzy logic controller, fuzzy PI controller and particle swarm optimization based tuning of fuzzy PI controller. Matlab/Simulink environment was used for the simulation. Results: Results are discussed and tabulated based on the performance of the controllers. Conclusion: From the comparison of all above methods, the algorithm has given better results in speed response than other controllers.

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Keywords

  • Switched reluctance motor
  • differential evolution
  • Particle Swarm Optimization (PSO)
  • fuzzy logic controller
  • fuzzy PI controller
  • PWM inverter