A PARTICLE SWARM OPTIMIZATION APPROACH FOR THREE PHASE LINEAR GENERATOR

Authors

  • Rajendran Sinnadurai Unisel
  • C.M Ting Unisel
  • Qaslun Basheer Hadi Unisel

Abstract

Particle swarm optimization (PSO) algorithm is applied for modeling three phase linear generator (TPLG). The objective of optimization is to maximize the performance of TPLG by keeping the cogging force at minimum value. The air gap length, magnet length, tooth width and magnet thickness are chosen as an optimization variables. Finite Element Method Magnetic (FEMM) will be used to verify the result of optimization. Finally, by using an AC-AC converter, the output voltage of TPLG will be stabilized. This can be done by using the Matlab
Simulink.

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Published

2020-12-04

How to Cite

Sinnadurai, R., Ting, C., & Hadi, Q. B. (2020). A PARTICLE SWARM OPTIMIZATION APPROACH FOR THREE PHASE LINEAR GENERATOR. Proceedings of the Informatics Conference, 4(6), 1-5. Retrieved from https://ojs.journals.unisel.edu.my/index.php/icf/article/view/45

Issue

Vol. 4 No. 6 (2018): Informatics

Section

Articles in English