将改进的PI控制动作与鲁棒自适应模糊控制器应用于直流电动机

N. Almutairi, M. Chow
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引用次数: 16

摘要

本文提出了一种鲁棒自适应模糊控制器来改进已知的PI控制器,以提高系统的性能。鲁棒性表明,灵敏度函数的输出是有界的。基于该鲁棒自适应模糊控制器,被控对象的上升时间、延迟时间、稳定时间和最大超调百分比等性能指标与控制器模糊规则中的参数高度相关。利用性能指标中相对误差的灵敏度函数推导了这些关系。以具有非线性摩擦模型的直流电动机为例说明了该方法。
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A modified PI control action with a robust adaptive fuzzy controller applied to DC motor
In this paper, a robust and adaptive fuzzy controller to modify a well-known PI controller in order to improve the system performance is presented. Robustness is concluded showing that the sensitivity function of the output is bounded. Based on this robust adaptive fuzzy controller, several performance measures of the controlled plant, including the rise time, delay time, settling time, and percentage of maximum overshoot is shown to be highly related to the parameters in certain fuzzy rules of the controller. The sensitivity functions of the relative errors in the performance measures is used to derive these relations. A DC motor with a nonlinear friction model is used to illustrate this method.
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