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PID Parameters Tuning Method by Particle Swarm Optimization with Chaotic Disturbance

机译:混沌粒子群优化的PID参数整定方法

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This paper proposes a new PID parameter tuning method using Chaotic Particle Swarm Optimization (CPSO) with ICMIC. The method is implemented into the PID tuning of the position control system, where the transfer function represents a plant model of a servo system. The PID parameter is computed by CPSO-based, PSO-based and ZN-based PID tuning method according to the obtained model, respectively. The simulation results show the effectiveness of the proposed tuning method, and are compared with the classical PSO and Ziegler-Nichols.
机译:提出了一种基于ICMIC的混沌粒子群优化(CPSO)的PID参数整定新方法。该方法被实施到位置控制系统的PID调整中,其中传递函数表示伺服系统的工厂模型。根据所获得的模型,分别通过基于CPSO,基于PSO和基于ZN的PID调整方法来计算PID参数。仿真结果表明了所提方法的有效性,并与经典的PSO和Ziegler-Nichols进行了比较。

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