PID Parameters Optimization of Pressure and Phear Testing Controller Based on CLPSO Algorithm

Abstract:

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This paper presents an improved algorithm which is Comprehensive Learning Particle Swarm Optimization(CLPSO).CLPSO utilizes a new learning strategy have achieve the goal to accelerate the convergence of the classical PSO.CLPSO algorithm is effective to optimize PID controller’s parameter.The simulation results show its better performance than traditional ways in the PID parameter optimization of a hydraulic system controller.

Info:

Periodical:

Edited by:

Xingui He, Ertian Hua, Yun Lin and Xiaozhu Liu

Pages:

104-109

DOI:

10.4028/www.scientific.net/AMM.88-89.104

Citation:

H. J. Wu and Z. Q. Hu, "PID Parameters Optimization of Pressure and Phear Testing Controller Based on CLPSO Algorithm", Applied Mechanics and Materials, Vols. 88-89, pp. 104-109, 2011

Online since:

August 2011

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Price:

$35.00

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