Research on PID Control Technique for Chaotic Ship Steering based on Dynamic Chaos Particle Swarm Optimization Algorithm

被引：0
|
作者：
Huang, Qian [1 ]
Li, Tianwei [1 ]
Li, Zhcngyou [1 ]
Hang, Yundong [1 ]
Yang, Shaoqing [2 ]
机构：
[1] Dalian Naval Acad, Dept Nav, Dalian, Liaoning, Peoples R China
[2] Dalian Naval Acad, Dept Informat & Commun Engn, Dalian, Liaoning, Peoples R China
来源：
PROCEEDINGS OF THE 10TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION (WCICA 2012) | 2012年
基金：
中国国家自然科学基金;
关键词：
Dynamic chaos particle swarm; inertia weight factor; chaotic control; PID control; chaotic ship steering;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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.
引用
收藏
页码：1639 / 1643
页数：5
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