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基于粒子群算法与改进Ziegler-Nichols算法的PID整定方法
引用本文:聂善坤,王宇嘉,苏坤.基于粒子群算法与改进Ziegler-Nichols算法的PID整定方法[J].华南农业大学学报(社会科学版),2016,34(1).
作者姓名:聂善坤  王宇嘉  苏坤
作者单位:上海工程技术大学电子电气工程学院,上海201620
基金项目:国家自然科学基金资助项目( 61403249);上海市自然科学基金资助项目(IOZR1314000)
摘    要:针对Ziegler-Nichols算法设计的PID控制器阶跃响应不理想,不具有灵活性等缺点,提出基于粒子群算法与改进 Ziegler-Nichols算法的PID整定方法。采用粒子群算法优化了Ziegler-Nichols算法中的幅值和相角,设计了具有更好性能 指标的PID控制器。实验结果表明采用该方法进行参数整定后的PID控制器响应速度较快,降低了系统的超调量。

关 键 词:PID控制器  粒子群算法  改进Ziegler-Nichols算法  响应速度

PID Controller Based on PSO and Ziegler-Nichols Method
NIE Shankun,WANG Yuji,SU Kun.PID Controller Based on PSO and Ziegler-Nichols Method[J].Journal of South China Agricultural University:Social Science Edition,2016,34(1).
Authors:NIE Shankun  WANG Yuji  SU Kun
Institution:School of Electric and Electronic Engineering, Shanghai University of Engineering Science, Shanghai 201620 , China
Abstract:A new method of PID controller based on PSO and Ziegler-Nichols was proposed to deal with disadvantages of the PID controller designed by the Ziegler-Nichols algorithm. The method adopted particle swarm optimization to optimize the amplitude and phase to design the PID Controller whose performance indicators was better. The experimental results show that the new method can not only improve the speed of step respond, but also reduce the overshoot of the control system .
Keywords:PID  controller  particle  swarm optimization ( PSO)  improved Ziegler-Nichols  respond  speed
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