Paper Title:
PID Parameters Optimization of Pressure and Phear Testing Controller Based on CLPSO Algorithm
  Abstract

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
Chapter
Chapter 2: Intelligent and Adaptive Control
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, 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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