Extremum Seeking Control Based on Feedback Learning Particle Swarm Optimization Algorithm

Abstract

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：

Key words: particle swarm optimization (PSO), extremum seeking control, performance output oscillation

CLC Number:

TP 273

DONG Fang, XIE Lei, ZHANG Jian-Ming. Extremum Seeking Control Based on Feedback Learning Particle Swarm Optimization Algorithm [J]. Journal of Shanghai Jiaotong University, 2012, 46(12): 1962-1966.

References

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