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

机译:基于动态混沌粒子群优化算法的混沌船转向PID控制技术研究

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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.
机译:为了难以调整PID控制器参数来控制复杂的混沌系统,为了克服基本粒子群优化的短缺,本文提高了惯性重量并将不受控制的混沌系统引入PSO算法,提出了改进的动态混沌粒子群优化算法。本文将该算法应用于混沌PID控制器参数优化,并对混沌船转向控制的PID控制方法进行仿真研究,结果表明,通过所提出的方法优化的控制器参数可以快速稳定混沌系统到固定点并且证明了控制效果。

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