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Strip thickness control based on optimal fuzzy-PID controller

机译:基于最优模糊PID控制器的条带厚度控制

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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:本文介绍了冷钢轧制自动规管控制系统的最佳模糊PID控制策略,以改善控制性能。 MATLAB的仿真结果表明,PID控制器具有比模糊PID控制器更好的精度,用于理想型号,但在控制系统中存在噪声和未刻度的动态时,最佳模糊PID控制器具有比PID控制器更具鲁棒性。

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