首页> 外文会议>2009 IEEE International Symposium on IT in Medicine Education( IEEE 教育与医药信息化国际会议)论文集 >PID controller parameters tuning in servo system based on chaotic particle swarm optimization
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PID controller parameters tuning in servo system based on chaotic particle swarm optimization

机译:基于混沌粒子群算法的伺服系统PID控制器参数整定

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This paper proposes a new PID parameter tuning method using Chaotic Particle Swarm Optimization (CPSO) with Sinusoidal Iterator. 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 are compared with the classical PSO and Ziegler-Nichols, and show the effectiveness of the proposed tuning method.
机译:提出了一种基于正弦迭代器的混沌粒子群优化(CPSO)PID参数整定方法。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。仿真结果与经典的PSO和Ziegler-Nichols进行了比较,证明了所提方法的有效性。

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