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A New Modeling Method for Switched Reluctance Motor Based on the Fuzzy Logic System

机译:基于模糊逻辑系统的开关磁阻电动机的新建模方法

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This paper proposes a new modeling method for switched reluctance motor (SRM) based on fuzzy logic system with limited flux linkage samples. Firstly, the flux linkage characteristics at four torque balanced positions are obtained by using an indirect method excluding the rotor clamping devices. Secondly, based on the four flux-linkage curves, the fuzzy logic system is adopted to construct the entire flux linkage characteristics. According to the relationship of flux linkage with the rotor position, the space of the rotor position are divided into three regions. Then, the max products of degrees are calculated to generate the optimal fuzzy rules, and the rules are employed in the defuzzification. The main advantage is that the fuzzy rules are automatically extracted from limited samples without experience of experts. Finally, in order to verify the accuracy and feasibility of the proposed method, the flux linkage characteristics obtained by the proposed method are compared with those measured by rotor clamping method. The comparative results show that the proposed method has a good accuracy for SRM modeling.
机译:本文提出了一种基于具有有限磁通连杆样品的模糊逻辑系统的开关磁阻电动机(SRM)的新型方法。首先,通过使用不包括转子夹紧装置的间接方法获得四个扭矩平衡位置的磁通连杆特性。其次,基于四条磁通连杆曲线,采用模糊逻辑系统来构建整个磁通连杆特性。根据磁通连杆与转子位置的关系,转子位置的空间被分成三个区域。然后,计算测量的最大产品以产生最佳模糊规则,并且在Defuzzzzzification中使用规则。主要优点是模糊规则在没有专家经验的情况下自动从有限的样品中提取。最后,为了验证所提出的方法的准确性和可行性,将所提出的方法获得的磁通连杆与通过转子夹紧方法测量的磁通连杆特性。比较结果表明,该方法对SRM建模具有良好的准确性。

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