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The brushless DC motor (BLDCM) is a multi-variable and non-linear system, so it is difficult to get a satisfying result for BLDCM using the conventional linear control method. This paper presents an approach of single neuron PID adaptive control for BLDCM based on wavelet neural network on-line identification. The method uses single neuron PID to construct the adaptive controller of BLDCM. In addition,...
The brushless DC motor (BLDCM) has such advantages as simple structure, convenient to control, high reliability, high efficiency, and has been applied in many industrial fields. Conventional controllers suffer from uncertain parameters and the nonlinear of the BLDCM. To overcome the shortcomings of the conventional controller, this paper presents a novel strategy on the basis of compound control using...
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