开关磁阻电动机小样本磁链特性精确建模方法

Accurate Modeling Method for Switched Reluctance Motors with Small Sample Flux-linkage Characteristics

采用转矩平衡位置测量方法能够在无锁紧装置的情形下快速获取m相开关磁阻电动机(Switched reluctance motor,SRM)m+1个特殊位置的小样本磁链特性。针对小样本磁链特性数据不充分导致SRM难以精确建模的问题,提出一种基于模糊逻辑系统的SRM精确建模方法。该方法主要分为三步,首先根据SRM极对数与磁链随转子位置变化趋势等电动机固有先验知识,进行模糊空间划分;其次利用模糊逻辑系统从磁链样本数据中自动提取模糊规则,形成模糊规则库;最后采用重心法解模糊,重构SRM全周期磁链特性,完成小样本磁链特性下的SRM精确建模。不同于传统建模方法需要测量整个位置周期磁链特性数据,所提出方法仅需要m+1个特殊位置磁链特性即可实现SRM磁链精确建模,极大地提高了建模效率。仿真和试验结果验证了所提出方法的有效性。

The small sample flux-linkage characteristics of m+1 special positions of m-phase switched reluctance motor(SRM) can be obtained quickly by using the torque-balanced method without locking device. To solve the problem of accurate modeling of SRM based on small sample flux-linkage characteristics, a novel modeling method for SRM based on fuzzy logic system is proposed. The proposed method mainly consists of three steps. Firstly, according to the inherent prior knowledge of SRM pole pairs and flux-linkage changing trend with rotor position, the fuzzy space is divided. Secondly, the fuzzy rules are automatically extracted from the sample data by using fuzzy logic system to form a fuzzy rule base. Finally, the center of gravity method is used to solve the flux-linkage value, the accurate modeling of SRM with small sample data is realized. Different from the conventional modeling method, which needs to measure the flux-linkage characteristics data of the whole position period, the proposed method only needs the flux-linkage characteristics of m+1 special position to realize the accurate modeling of SRM, which greatly improves the modeling efficiency. The simulation and experimental results verify the effectiveness of the proposed method.