天津农学院学报 ›› 2021, Vol. 28 ›› Issue (1): 49-52.doi: 10.19640/j.cnki.jtau.2021.01.010

• 研究与简报 • 上一篇    下一篇

基于MATLAB/SIMULINK仿真模糊PID控制效果研究

曹督尊, 刘国彦通信作者, 甘敏, 赵金才   

  1. 天津农学院 工程技术学院,天津 300392
  • 收稿日期:2020-05-07 出版日期:2021-03-31 发布日期:2021-04-02
  • 通讯作者: 刘国彦(1983—),男,讲师,博士,主要从事检测与控制方向研究。E-mail:optic9@126.com。
  • 作者简介:曹督尊(1997—),男,本科在读,主要从事控制科学与工程。E-mail:1021249245@qq.com。
  • 基金资助:
    大学生创新创业训练计划项目(201810061033)

Study of fuzzy logic PID controller based on MATLAB/SIMULINK

Cao Duzun, Liu GuoyanCorresponding Author, Gan Min, Zhao Jincai   

  1. College of Engineering and Technology, Tianjin Agricultural University, Tianjin 300392, China
  • Received:2020-05-07 Online:2021-03-31 Published:2021-04-02

摘要: 本文提出一种模糊逻辑控制方案来提升传统PID型控制器的控制效果。使用MATLAB/ SIMULINK软件对高阶非时滞控制系统与二阶时滞系统分别采用传统PID型控制和添加模糊PID控制参数进行了阶跃输入响应仿真对比,发现对于高阶非时滞系统的参数加入模糊变量控制后控制效果有显著提升。

关键词: 模糊逻辑控制, PID控制, SIMULINK模型

Abstract: This paper proposed a fuzzy logic controlling method which can improve the effect of PID type controller. The MATLAB/SIMULINK software was used to simulate comparison of step input response between the high-order non-delay control system and the second-order delay system, with the second-order delay system using traditional PID control and fuzzy PID control parameters respectively. As a result, it is found that the control effect of the parameters of high-order non-delayed system was significantly improved by adding fuzzy variable control.

Key words: fuzzy logic controller, PID control, SIMULINK models

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