Strip thickness control based on optimal fuzzy-PID controller

Ren Shirong, Li Yuan, Zhang Lei, Su YingGuang
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Abstract

This paper introduces optimal fuzzy-PID control strategy into automatic gauge control system of cold steel rolling for improving control performances. Simulation results from MATLAB show that the PID controller has a better precision than the fuzzy-PID controller for an ideal model, but optimal fuzzy-PID controller has more robustness than the PID controller when there is noise and unmodelled dynamic in the control system.
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基于最优模糊pid控制器的带钢厚度控制
为了提高冷轧厚度自动控制系统的控制性能,本文将模糊pid优化控制策略引入冷轧厚度自动控制系统。MATLAB仿真结果表明,对于理想模型,PID控制器比模糊PID控制器具有更好的精度,但当控制系统中存在噪声和未建模动态时,最优模糊PID控制器比PID控制器具有更强的鲁棒性。
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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