基于遗传模糊PID的液位串级控制系统仿真

2022 5th International Conference on Robotics, Control and Automation Engineering (RCAE) Pub Date : 2022-10-28 DOI:10.1109/RCAE56054.2022.9995946

Jizhi Mao, Zhijia Yang, Shusheng Zhang

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引用次数: 1

摘要

介绍了液位控制系统的模型设计和基本原理。为了改善液位控制的动态响应，提高了系统的超调量和稳态误差精度。本文将传统的PID控制器分别应用于单回路系统和串级系统，在传统PID控制算法的基础上引入模糊控制算法，设计串级参数自整定模糊PID控制器，然后利用遗传算法对模糊控制规则进行优化，生成遗传模糊PID控制器。MATLAB/Simulink仿真结果表明，与传统PID控制相比，遗传模糊PID控制具有更好的控制效果和抗干扰能力，具有良好的控制性能。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Simulation of Liquid Level Cascade Control System Based on Genetic Fuzzy PID

The model design and basic principle of liquid level control system are described. In order to improve the dynamic response of liquid level control, the overshoot and steady-state error accuracy of the system are improved. In this paper, we apply the conventional PID controller to the single-loop system and the cascade system respectively, and introduce the fuzzy control algorithm based on the conventional PID control algorithm to design a cascade parameter self-adjusting fuzzy PID controller, Then use genetic algorithm to optimize fuzzy control rules to generate genetic fuzzy PID controller. The MATLAB/Simulink simulation results show that, compared with the traditional PID control, the genetic fuzzy PID control has better control effect and anti-interference ability, and has good control performance.

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2022 5th International Conference on Robotics, Control and Automation Engineering (RCAE)

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