位置检测和换相准确与否,对无刷直流电机的运行有非常关键的影响.通过分析无刷直流电机间接位置检测原理,本文提出了一种新的方法来实现转子位置的检测.该方法构建一个以相磁通和相电流为输入,转子位置为输出的小波神经网络模型,并采用遗传算法来训练网络参数.经仿真验证该模型能有效地控制电机换相.%The accuracy of position detection and precise commutations is very important to BLDCM. In this paper, the principle of position sensorless control for brushless DC motors (BLDCM) is analyzed, and a new position detection method for BLDCM is proposed. A wavelet neural network model is built whose parameters are trained based on genetic algorithms. The simulation results demonstrate that the model is feasible.
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