首页 > matlab模糊pid控制,模糊PID控制及其MATLAB仿真.doc

模糊控制的优点,matlab模糊pid控制,模糊PID控制及其MATLAB仿真.doc

互联网 2021-06-17 10:28:16

武汉理工大学

模糊PID控制及其MATLAB仿真

姓 名: 杨焕章

专业班级:轮机工程1305班

学 号: 1049721301983

授课教师: 高 岚 教授

摘要

PID(比例 积分 微分)控制具有结构简单、稳定性能好、可靠性高等优点,尤其适用于可建立精确数学模型的控制系统。而对于一些多变量、非线性、时滞的系统,传统的PID控制器并不能达到预期的效果。

随着模糊数学的发展,模糊控制的思想逐渐得到控制工程师们的重视,各种模糊控制器也应运而生。而单纯的模糊控制器有其自身的缺陷—控制效果很粗糙、控制精度无法达到预期标准。但利用传统的PID控制器和模糊控制器结合形成的模糊自适应的PID控制器可以弥补其缺陷;它将系统对应的误差和误差变化率反馈给模糊控制器进而确定相关参数,保证系统工作在最佳状态,实现优良的控制效果。

论文介绍了参数自适应模糊PID控制器的设计方法和步骤。并利用MATLAB 中的SIMULINK 和模糊逻辑推理系统工具箱进行了控制系统的仿真研究,并简要地分析了对应的仿真数据。

关键词: 经典PID控制; 模糊控制; 自适应模糊PID控制器; 参数整定; MATLAB仿真

ABSTRACT

PID(Proportion Integration Differentiation) control, with lots of advantages including simple structure, good stability and high reliability, is quite suitable to establish especially the control system which accurate mathematical model is available and needed. However, taken multivariable, nonlinear and time-lag into consideration, traditional PID controller can not reach the expected effect.

Along with the development of Fuzzy Mathematics, control engineers gradually pay much attention to the idea of Fuzzy Control, thus promoting the invention of fuzzy controllers. However, simple fuzzy controller has its own defect, where control effect is quite coarse and the control precision can not reach the expected level. Therefore, the Fuzzy Adaptive PID Controller is created by taking advantage of the superiority of PID Controller and Fuzzy Controller. Taken this controller in use, the corresponding error and its differential error of the control system can be feed backed to the Fuzzy Logic Controller. Moreover, the three parameters of PID Controller is determined online through fuzzification, fuzzy reasoning and defuzzification of the fuzzy system to maintain better working condition than the traditional PID controller.

Meanwhile,the design method and general steps are introduced of the Parameter self-setting Fuzzy PID Controller. Eventually, the Fuzzy Inference Systems Toolbox and SIMULINK toolbox are used to simulate Control System. The results of

免责声明:非本网注明原创的信息,皆为程序自动获取自互联网,目的在于传递更多信息,并不代表本网赞同其观点和对其真实性负责;如此页面有侵犯到您的权益,请给站长发送邮件,并提供相关证明(版权证明、身份证正反面、侵权链接),站长将在收到邮件24小时内删除。

相关阅读