基于最优模糊pid控制器的带钢厚度控制

2010 Second International Conference on Computational Intelligence and Natural Computing Pub Date : 2010-11-22 DOI:10.1109/CINC.2010.5643733

Ren Shirong, Li Yuan, Zhang Lei, Su YingGuang

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引用次数: 0

摘要

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。

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Strip thickness control based on optimal fuzzy-PID controller

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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2010 Second International Conference on Computational Intelligence and Natural Computing

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