基于统计能量分析的开关磁阻电机中高频振动预测方法

Method for High-middle Frequency Vibration Prediction of Switched Reluctance Motor Based on Statistical Energy Analysis

利用有限元法和边界元法对开关磁阻电机的振动进行分析预测时,往往只能在低频(f<2kHz)下得到满意的结果,而中高频振动是分析电机振动不可忽视的一部分。该文使用统计能量分析法对开关磁阻电机的中高频振动进行预测:建立了开关磁阻电机的统计能量分析模型,利用实验的方法测量内部损耗因子及耦合损耗因子,推导开关磁阻电机振动输入功率的计算方法,分析并预测电机的中高频振动。最后将预测数据和实验数据进行比较,验证了统计能量分析法对开关磁阻电机中高频振动预测的可行性和有效性。

The traditional approach to predict the vibration of motors is usually based on finite element method （FEM） and boundary element method （BEM）, and these methods can only get satisfied result at low frequency （f〈 2 kHz）. However, the middle-high frequency vibration is not neglectable when analyzing the vibration behavior of motors. The statistical energy analysis （SEA） which is suitable for middle-high frequency vibration analysis is employed to predict the vibration of the switched reluctance motor （SRM）. The SEA model for SRM is built, the internal loss factors and coupling loss factors are obtained through the experimental approach, the calculation method of the vibration input power for SRM is given. The vibration of the motor is predicted and analyzed with the SEA model. A comparison study is carried out between the predicted data and experimental data, the result demonstrates the feasibility and effectiveness to apply SEA to SRM for middle-high frequency vibration prediction.