LI Yong-hong(李永红)1, CHEN Jia-bin(陈家斌)1, ZHAO Sheng-fei(赵圣飞)2, YUE Feng-ying(岳凤英)2
(1. Beijing Institute of Technology, Beijing 100081, China; 2. School of Information and Communication Engineering, North University of China, Taiyuan 030051, China)
Abstract：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.
Key words：Brushless DC (BLDC); adaptive wavelet neural network; differential evolution (DE) algorithm
CLD number： TM33; TP183 Document code： A
Article ID： 1674-8042(2012)01-0026-05 doi： 10.3969/j.issn.1674-8042.2012.01.006
References
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