基于智能优化算法的控制器优化设计+程序
毕业论文关键词：PID控制，粒子群算法，优化设计，simulink
Abstract Particle Swarm is a new intelligent algorithm which can search the entire whole, PSOuse of competition and collaboration between the particles to achieve find the global optimumin the complex search space. Because it has easy to understand and easy to implement, as wellas its strong global search ability and other characteristics, it has been widespread concern inthe field of science and engineering, has now become one of the most rapidly developingintelligent algorithms.PID controller parameter tuning There are many ways, so the use of these methodsshould be based on the characteristics of the actual situation in the system and to choose thebest method. The main work of this paper is to particle swarm algorithm to achieve PIDcontroller parameter tuning optimization, the main work has two parts:First, the paper selected control object transfer function unstable system, simulationexperiment through the system, and the response curve of the performance indicators havebeen analyzed.Second, the use of particle swarm optimization parameters PID controller tuning withSimulink for optimized control system simulation, the response curve of the system optimized.Based on the results of the analysis revealed that the particle swarm algorithm applied to PIDparameter optimization is feasible.
Keywords: PID control, particle swarm algorithm, optimization design, Simulink
目录
第一章 绪论... 1
1.1研究的背景和课题意义1
1.2基本的 PID参数优化方法...1
1.3 研究现状2
1.4本文的主要工作 2
第二章 粒子群算法... 4
2.1粒子群算法的起源 4
2.2粒子算法的概述 5
2.3粒子算法的介绍 5
2.3.1 算法原理. 6
2.3.2 算法步骤. 6
2.3.3 算法特点. 7
2.4 带压缩因子的粒子群算法.. 8
2.4.1.算法原理 ... 8
2.4.2.算法步骤. 8
2.5 惯性权重的粒子群算法...9
第三章 PID 控制理论. 10
3.1 PID控制原理...10
3.2 数字PID控制算法 .. 11
3.2.1 位置式 PID控制算法 ...11
3.2.2 增量式 PID控制算法 ...12
3.3 PID控制特点...14
3.4 PID控制器参数整定的原理和方法 14
3.4.1 常用的整定方法...14
3.4.2 基于 Ziegler-Nichols 方法的PlD 整定 16
3.4.3 ISTE 最优设定方法.16
3.4.4 临界灵敏度法..17
第四章 使用 PSO 优化 PID参数...18
4.1优化设计简介.. 18
4.2 理论基础..19
4.3 目标函数的选取. 19
4.4问题描述...20
4.5优化设计过程.. 20
第五章 仿真设计结果. 21
5.1 用Z-N 法整定PID 参数... 21
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