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Tuning of PID parameters based on particle swarm optimization

机译:基于粒子群优化的PID参数调整

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摘要

PID controller has the advantages of simple algorithm, easy realization, easy adjustment and good robustness, and is widely used in various industries. Engineers have accumulated a wealth of experience in the long-term practice of PID controller parameter tuning, but the traditional experience-based PID parameter tuning method has been unable to meet the control needs of modern nonlinear complex objects. In this paper, the PID parameter tuning algorithm of basic particle swarm optimization (PSO) is designed. Establish the second-order system, select the experience trial and error method to tune the PID parameters, this method cannot quickly calculate the PID parameters, the staff need to rely on experience to constantly try and error, inefficient. However, the optimal solution of PID parameters can be obtained quickly by using PSO, and the control effect is good.
机译:PID控制器具有简单算法的优点,实现易于实现,调整方便,鲁棒性良好,并广泛应用于各种行业。工程师在PID控制器参数调整的长期实践中积累了丰富的经验,但传统的基于体验的PID参数调整方法已经无法满足现代非线性复杂对象的控制需求。本文设计了基本粒子群优化(PSO)的PID参数调谐算法。建立二阶系统,选择经验试验和错误方法调整PID参数,这种方法不能快速计算PID参数,工作人员需要依靠经验不断尝试,效率低效。但是,通过使用PSO可以快速获得PID参数的最佳解决方案,控制效果良好。

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