Genetic Algorithm Based Proportional Integral Controller Design for Induction Motor
Mohanasundaram Kuppusamy and Rajasekar Natarajan
DOI : 10.3844/jcssp.2011.416.420
Journal of Computer Science
Volume 7, Issue 3
Problem statement: This study has expounded the application of evolutionary computation method namely Genetic Algorithm (GA) for estimation of feedback controller parameters for induction motor. GA offers certain advantages such as simple computational steps, derivative free optimization, reduced number of iterations and assured near global optima. The development of the method is well documented and computed and measured results are presented. Approach: The design of PI controller parameter for three phase induction motor drives was done using Genetic Algorithm. The objective function of motor current reduction, using PI controller, at starting is formulated as an optimization problem and solved with Genetic Algorithm. Results: The results showed the selected values of PI controller parameter using genetic algorithm approach, with objective of induction motor starting current reduction. Conclusions/Recommendation: The results proved the robustness and easy implementation of genetic algorithm selection of PI parameters for induction motor starting.
© 2011 Mohanasundaram Kuppusamy and Rajasekar Natarajan. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.