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Extremum Seeking Control Based on Feedback Learning Particle Swarm Optimization Algorithm
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DONG Fang, XIE Lei, ZHANG Jian-Ming |
(State Key Laboratory of Industrial Control Technology, Institute of CyberSystems and Control,Zhejiang University, Hangzhou 310027, China) |
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Abstract This paper brought the feedback particle swarm optimization algorithm(FLPSO) into the extremum seeking control(ESC), applied the idea of tracking problem which was first introduced into ESC by Zhang, and improved the performance of ESC. According to the simulation, the output of the control becomes relatively stable and the output of the performance function converges to optimum rapidly. The algorithm improves the problem of output function oscillation existed in the algorithm combined with Gramm method.
Key words:
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Received: 15 May 2012
Published: 29 December 2012
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