基于遗传算法优化的直流伺服电机PID控制器设计(王超)详解.doc

广西科技大学 毕业设计（论文）说明书 课题名称 基于遗传算法优化的直流伺服电机PID控制器设计 系 别 电气与信息工程学院 专 业 自动化 班 级 094班 学 号 200900301124 姓 名 王 超 指导教师 叶洪涛 2013 年 5 月 23 日 摘 要 近年来，直流伺服控制系统己经在工业生产控制等多领域得到了广泛应用。其中应用作为动力源的直流伺服电机显得尤其重要。PID (Proportional、Integral、Derivative)20世纪60本文运用遗传算法来来对直流伺服电机PID控制器参数进行优化设计。首先建立直流伺服电机的模型；其次，简要介绍PID控制器原理，并。再次，概要介绍了遗传算法并阐述其应用步骤。然后，运用遗传算法对直流伺服电机PID控制器参数进行整定优化，对比使用MATLAB里的对直流伺服电机模型的PID控制器参数整定优化并指出了使用遗传算法进行PlD参数整定优化还有待解决的问题。 PID控制器In recent years, DC servo control system has been in the field of industrial control, etc widely application. The application of DC servo motor as a power source is especially important. PID (Proportional, Integral, Derivative) is proportional, Integral and differential control law is the most widely used in industrial process control control strategy, it has simple algorithm, the advantages of good robustness, high reliability. If known the structure of the PID controller, the controller is the control of quality by the proportional, integral and differential time coefficient to determine the three parameters. Its control algorithm is simple, but compared with its parameter setting optimization much more complex. Genetic algorithm is a kind of biological natural selection and natural genetic mechanism for reference on the iterative adaptive probabilistic search algorithm. Since its birth in the 1960s has been in the world, much attention has been paid in recent years, the theory development and practical application of genetic algorithm is considered as one of the hot research topic. This paper uses genetic algorithm to the DC servo motor PID controller parameters optimization design. First of all establish DC servo motor model; Second, briefly introduced the principle of PID controller, and introduces the four main indicators of PID control system. Again, introduces the genetic algorithm and its a