摘要
针对采用比例-积分-微分控制混沌系统时参数不易确定的问题,为克服基本粒子群优化算法的不足,对PSO算法惯性权重系数进行了改进,并将目标混沌系统引入PSO算法,提出了改进动态混沌粒子群优化算法。将改进算法应用于船舶混沌运动比例-积分-微分控制器的参数整定优化并对混沌运动的比例-积分-微分控制进行了仿真研究,仿真结果表明,改进算法得到的控制参数能将受控船舶混沌系统迅速稳定到不动点上,控制效果明显。
For the difficulty of tuning the PID controller parameters to control a Complex chaotic system, in order to overcome the shortage of particle swarm optimization, this paper improved the inertia weight factor and introduced the uncontrolled chaotic system into the PSO algorithm, then the improved dynamic chaos particle swarm optimization （DCPSO） algorithm was proposed. This paper applied the algorithm to parameters optimization of the PID controller for the chaotic ship steering control and took a simulation study on the PID control process. The results show that the controller parameter optimized by the proposed method can quickly stabilize the chaofio, system to fixed point, and the control effectiveness was demonstrated.
出处
《计算机仿真》
CSCD
北大核心
2013年第2期42-46,共5页
Computer Simulation
关键词
动态混沌粒子群优化
惯性权重系数
混沌控制
比例-积分-微分控制
船舶混沌运动
Dynamical chaos particle swarm optimization
Inertia weight factor
Chaotic control
Proportional -integral -derivative control
Chaotic ship steering
