Hybrid Induction Motor Control Using a Genetically Optimized Pseudo-on-line Method

This paper introduces a hybrid induction motor control using a genetically optimized pseudo-on-line method. Optimization results from the use of a look-up table based on genetic algorithms to find the global optimum of an unconstrained optimization problem. The approach to induction motor control includes a pseudo-on-line procedure that optimally estimates parameters of a fuzzy PID (FPID) controller. The proposed hybrid genetic fuzzy PID (GFPID) controller is applied to speed control of a 3-phase induction motor and its computer simulation is carried out. Simulation results show that the proposed controller performs better than conventional FPID and PID controllers. The contribution of this paper is the introduction of a high performance hybrid form of induction motor control that makes on-line and real-time control of the drive system possible.

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Cite this article

[IEEE Style]

J. Lee, K. Jang, J. F. Peters, T. Ahn, "Hybrid Induction Motor Control Using a Genetically Optimized Pseudo-on-line Method," Journal of Power Electronics, vol. 4, no. 3, pp. 127-137, 2004. DOI: 10.6113/JPE.2004.4.3.127.

[ACM Style]

Jong-Seok Lee, Kyung-Won Jang, J. F. Peters, and Tae-Chon Ahn. 2004. Hybrid Induction Motor Control Using a Genetically Optimized Pseudo-on-line Method. Journal of Power Electronics, 4, 3, (2004), 127-137. DOI: 10.6113/JPE.2004.4.3.127.