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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算法的混沌船舶操纵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:由于难以调节PID控制器参数来控制复杂的混沌系统,为克服基本粒子群算法的不足,本文对惯性权重进行了改进,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系统。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,并以PID控制方法对混沌船舶转向控制进行了仿真研究,结果表明,所提出的方法优化后的控制器参数能够将混沌系统快速稳定到定点。 ,证明了控制效果。

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