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Position detection of BLDC rotor based on adaptive wavelet neural network
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作者 李永红 陈家斌 +1 位作者 赵圣飞 岳凤英 《Journal of Measurement Science and Instrumentation》 CAS 2012年第1期26-30,共5页
Brushless DC(BLDC)motor is a complex nonlinear system,of which some parameters will also change during operation.Therefore,obtaining accurate rotor position directly through the line voltage becomes more difficult.So ... Brushless DC(BLDC)motor is a complex nonlinear system,of which some parameters will also change during operation.Therefore,obtaining accurate rotor position directly through the line voltage becomes more difficult.So a new method is proposed in this paper which uses three line voltages as the input signal to identify the motor position based on adaptive wavelet neural network(WNN)and the differential evolution(DE)algorithm to optimize WNN structures,thus realizing the improvement of accuracy,exactness of the communication signals and convergence speed of the rotor position identification.Finally,both simulations and experimental results show that the proposed method has high accuracy of recognizing rotor position and strong orientation ability. 展开更多
关键词 Brushless DC(BLDC) adaptive wavelet neural network differential evolution(DE)algorithm
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