A Fuzzy Approach to Optimal DC Motor Controller Design

D. Perduková, P. Fedor, V. Fedák
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引用次数: 1

Abstract

The paper deals with the design of a fuzzy controller for a DC motor based on its fuzzy model. In the first step of the design process the fuzzy model of the DC motor is built on basis of its measured input-output data. This model is then used for the design of fuzzy controller based on finding the optimal input signal sequences that will transfer the system from any point of its state space to the chosen end point based on the selected optimization criterion. The resultant Sugeno type fuzzy controller is of proportional character so in case if zero control deviation is required in steady state, it can be replaced by an integration component. Significant simulations results performed in MATLAB/Simulink have confirmed the correctness of the proposed design method and appropriate dynamic properties, invariance and robustness of the designed fuzzy controller.
直流电动机控制器的模糊优化设计
基于直流电机的模糊模型,设计了一种模糊控制器。在设计过程的第一步,基于直流电机的实测输入输出数据,建立了直流电机的模糊模型。然后利用该模型设计模糊控制器,找到最优的输入信号序列,将系统从状态空间的任意点转移到根据选定的优化准则选定的终点。所得到的Sugeno型模糊控制器具有比例特性,因此在稳态要求零控制偏差的情况下,可以用积分分量代替。在MATLAB/Simulink中进行的大量仿真结果证实了所提设计方法的正确性,所设计的模糊控制器具有良好的动态特性、不变性和鲁棒性。
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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