On-line gain-tuning IP controller using real-coded genetic algorithm |
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| Affiliation: | 1. Department of Electrical Engineering, National Dong Hwa University, Hualien 974, Taiwan;2. Department of Electrical Engineering, National Central University, Chung Li 320, Taiwan;1. Faculty of Science, Engineering and Built Environment, Deakin University, Geelong, Australia;2. Centre of Technology, RMIT University, Ho Chi Minh City, Vietnam;1. Center for Zero-Energy Building Studies, Concordia University, Montreal, Quebec, Canada;2. NSERC/Hydro-Quebec Industrial Research Chair, Center for Zero-Energy Building Studies, Concordia University, Montreal, Quebec, Canada;1. Daejeon Health Science College, Daejeon, Republic of Korea;2. Kookmin University, Seoul, Republic of Korea |
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| Abstract: | An integral proportional (IP) controller with on-line gain-tuning using real-coded genetic algorithm (GA) is proposed to control the mover position of a linear induction motor (LIM) servo drive system. First, the dynamic model of an indirect field-oriented LIM servo drive is derived. Then, a real-time GA is developed to search the optimal gains of the IP controller. The theoretic bases of the IP controller and real-time GA are described in detail. Moreover, the proposed control system is implemented in a PC-based computer control system to control the LIM for achieving high-precision position control with robustness. Finally, simulated and experimental results show that the proposed controller provides high-performance dynamic characteristics and is robust with regard to plant parameter variations and external load disturbance. |
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