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Strip thickness control based on optimal fuzzy-PID controller

机译:基于最优模糊PID控制器的带钢厚度控制

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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.
机译:将最优的模糊PID控制策略引入冷轧薄板自动控制系统中,以提高控制性能。 MATLAB的仿真结果表明,对于理想模型,PID控制器的精度要优于Fuzzy-PID控制器,但是当控制系统中存在噪声和动态非建模时,最优Fuzzy-PID控制器比PID控制器具有更高的鲁棒性。

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