Abstract
A new proportional-integral controller optimization methodology based on a multi-objective genetic algorithm for indirect field oriented controlled induction motor drive was proposed in this paper. GA-PI offers possibility of using the mathematical precision of PI algorithm with adaptability, and flexibility of genetic algorithm. This approach is independent of the system parameters, independent of the mathematical model, and can handle the system nonlinearity, allowing eliminates and reduces the overshoot, rise-time, settling time, load disturbance, and near-zero steady state error. The validity of proposed methods is confirmed by simulation results.
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Douiri, M.R., Cherkaoui, M. (2012). Evolutionary Multi-objective Optimization Based Proportional Integral Controller Design for Induction Motor Drive. In: Sombattheera, C., Loi, N.K., Wankar, R., Quan, T. (eds) Multi-disciplinary Trends in Artificial Intelligence. MIWAI 2012. Lecture Notes in Computer Science(), vol 7694. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35455-7_8
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DOI: https://doi.org/10.1007/978-3-642-35455-7_8
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