On-line gain-tuning IP controller using real-coded genetic algorithm

• Published in: Electric power systems research Vol. 72; no. 2; pp. 157 - 169
• Main Authors: Lin, Faa-Jeng, Shieh, Hsin-Jang, Shyu, Kuo-Kai, Huang, Po-Kai
• Format: Journal Article
• Language: English
• Published: Amsterdam Elsevier B.V 01.12.2004; Elsevier
• Subjects: Applied sciences; Electrical engineering. Electrical power engineering; Electrical machines; Exact sciences and technology; Genetic algorithm; IP controller; On-line gain-tuning; Regulation and control; IP controller; Genetic algorithm; On-line gain-tuning; Waveform; High performance; Integral proportional control; Circuit gain; Dynamic characteristic; Personal computer; Position control; Control system; High precision; Computer control; Controller; Experimental study; Motor control; Implementation; Servomotor; Robust control; Experimental result; Field orientation; Numerical simulation; Linear induction motors; Dynamic model
• ISSN: 0378-7796; 1873-2046
• DOI: 10.1016/j.epsr.2004.03.013

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.