Abstract The commutation error is one of the main factors that degrades the performances of high-speed permanent magnet brushless DC motor(BLDCM), thus the commutation error models and correction strategies have attracted a great deal of attention. This paper presents that as the commutation error changes, the phase current is continuous derivable and has a minimum only when the commutation error is fully compensated. In order to achieve the optimal commutation correction effect, this paper proposes a self-optimization commutation correction strategy based on tracking the minimum phase current. Such strategy is not only independent from the motor parameters but also can uniformly compensate for the commutation errors caused by various factors such as impedance of the motor, sampling delay, control-loop delay and so on. In addition, this strategy is simple and has general applicability in that it is not restricted by the influence of rotor position detection methods, modulation modes or whether the back electromotive force waveform is ideal, etc. The effectiveness and superiority of the strategy are verified by simulations and experiments.
Shi Xiaoqing,Wang Xiaolin,Xu Tongxing等. Self-Optimization Commutation Correction Strategy for High-Speed Brushless DC Motor[J]. Transactions of China Electrotechnical Society, 2019, 34(19): 3997-4005.
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2019, Vol. 34 
