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Research on PID control technique for chaotic ship steering based on dynamic chaos particle swarm optimization algorithm

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5 Author(s)
Qian Huang ; Department of Navigation, Dalian Naval Academy, Liaoning Province, China ; Tianwei Li ; Zhengyou Li ; Yundong Hang
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For the difficulty of tuning the PID controller parameter to control a complex chaotic system, in order to overcome the shortage of basic particle swarm optimization, this paper improves the inertia weight and introduces the uncontrolled chaotic system into the PSO algorithm, proposes the improved dynamic chaos particle swarm optimization algorithm. This paper applies the algorithm to the chaos PID controller parameter optimization and takes a simulation study on the PID control method for the chaotic ship steering control, the results show that the controller parameter optimized by the proposed method can quickly stabilize the chaotic system to fixed point, and the control effectiveness is demonstrated.

Published in:

Intelligent Control and Automation (WCICA), 2012 10th World Congress on

Date of Conference:

6-8 July 2012