Abstract：To promote the performance for the position sensorless interior permanent magnet synchronous motor (IPMSM) drives, an improved back electromotive force model based adaptive filtering rotor position observer is presented. The (6k±1)th harmonics exist in the extended electromotive force estimates due to the influence of the inverter nonlinearities and the flux spatial harmonics, which give rise to the (6k)th harmonic ripple in the rotor position estimate. The recursive least square (RLS) algorithm based adaptive linear element (ADALINE) filter is proposed, whereby the accurate decoupling control can be accomplished for the vector controlled system. RLS algorithm can online update the weights of ADALINE filter continuously, which guarantees the fast convergence rate of the rotor position observer. The selective ripple harmonic components can be eliminated through the proposed adaptive filter. Therefore the accuracy of the rotor position obtained from the software quadrature phase-locked loop (PLL) can be improved. Model simulation and experiments on a 2.2kW IPMSM sensorless vector controlled drive have been carried out to verify the proposed scheme.
张国强, 王高林, 倪荣刚, 徐进, 曲立志, 徐殿国. 基于自适应线性神经元滤波的内置式永磁电机转子位置观测器[J]. 电工技术学报, 2016, 31(6): 47-54.
Zhang Guoqiang, Wang Gaolin, Ni Ronggang, Xu Jin, Qu Lizhi, Xu Dianguo. Adaptive Linear Element Filtering Based Rotor Position Observer for Interior Permanent Magnet Synchronous Motors. Transactions of China Electrotechnical Society, 2016, 31(6): 47-54.
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2016, Vol. 31 
