基于模糊推理的矢量控制异步电动机速度控制器自整定方法

I. Miki, T. Kumano, T. Yamada
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引用次数: 6

摘要

提出了一种基于模糊推理的矢量控制异步电动机速度控制器(比例积分控制器或PI控制器)自整定方法。用相位平面中描述的电机转速阶跃响应轨迹来检验PI控制器的增益参数。为了获得合适的增益参数,在相位轨迹上定义的两个特征点进行离线模糊推理。模糊控制规则是根据增益参数在相位平面原点处存在的特征点有适当值的原则设计的。将该方法应用于一个0.75 kW感应电动机的模型驱动系统。仿真结果表明了该自整定方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Auto-tuning method based on fuzzy reasoning for speed controller in vector-controlled induction motor drives
The authors present a novel autotuning method based on fuzzy reasoning for the speed controller (proportional-integral or PI controller) in vector-controlled induction motor drives. The trajectory of the step response of motor speed described in the phase plane is used to examine the gain parameters of the PI controller. To obtain appropriate gain parameters, fuzzy inference is implemented offline at two characteristic points defined on this phase trajectory. Fuzzy control rules are devised on the basis of the principle that the gain parameters have appropriate values if these characteristic points exist at the origin in the phase plane. This method is applied to a model drive system with a 0.75 kW induction motor. Simulation results show that the validity of this autotuning method.<>
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