毕业答辩论文基于粒子群算法的控制系统 PID 参数优化设计终稿基于粒子群算法的控制系统PID参数优化设计摘 要本文主要讨论基于粒子群算法控制系统PID参数优化设计方法以及对PID控制的改进。PID参数的寻优方法有很多种，各种方法的都有各自的特点，应按实际的系统特点选择适当的方法。本文采纳粒子群算法进行参数优化，主要做了如下工作：其一，选择控制系统的目标函数，本控制系统选用时间乘以误差的绝对值，通过对控制系统的逐步仿真，对结果进行分析。由于选取的这个目标函数的解析式不能直接写出，故采纳逐步仿真来实现；其二，本文先采纳工程上的整定方法（临界比例度法）粗略的确定其初始的三个参数，，，再利用粒子群算法进行寻优，得到更好的PID参数；其三，采纳SIMULINK的仿真工具对PID参数优化系统进行仿真，得出系统的响应曲线。从中发现它的性能指标，都比原来有了很大的改进。因此，采纳粒子群算法的优越性是显而易见的。关键词 目标函数；PID 参数；粒子群算法；优化设计；SIMULINKOptimal design of PID parameter of the control system based on Particle Swarm OptimizationAbstractThe main purpose of this paper is to study the optimal design of PID parameter of the control system based on Particle Swarm Optimization and find a way to improve the PID control. There are a lot of methods of optimization for the parameters of PID, and each of them has its own characteristics. The proper methods need to be selected according to the actual characteristics of the system. In this paper we adopt the Particle Swarm Optimization to tune the parameters. To finish it, the following tasks should be done. First, select the target function of the control system. The target function of the control system should be chosen as the absolute value of the error multiplied by time. Then we simulate the control system gradually, and analyze the results of the process. Because the solution of the target function cannot be worked out directly, this design adopts simulation gradually. Secon...
