中国电机工程学报2011，Vol.31Issue(33)：151-158,8.
无刷直流电机转矩观测与电感自适应辨识
Torque Estimation and Adaptive Inductance Identification for a Brushless DC Motor
摘要
Abstract
To improve the accuracy of torque observation result for a brushless DC motor （BLDCM）, the influences of stator inductance deviation on traditional back electromotive force （EMF） sliding-mode observer （SMO） and relevant torque observation results were quantitatively analyzed. The analysis results show the observation errors of back EMF and torque are induced by the inductance deviation when the stator currents change. To eliminate this effect, an adaptive law for stator inductance identification was designed based on Lyapunov stability theory and the online identification result was used to regulate the coefficient matrix and input matrix of SMO in real time. Combining with the inductance estimator, a novel adaptive sliding-mode observer was constructed. Further, the precision of SMO was enhanced. Experimental results, using RT-LAB real time controller implementation, verify the validity of the theoretical analysis and prove that the stator inductance can be identified effectively and the torque of BLDCM can be observed correctly by the proposed method.关键词
无刷直流电机/转矩闭环控制/反电势观测/转矩观测/参数辨识/滑模观测器Key words
bruslaless DC motor （BLDCM）/torque closedloop control/back electromotive force （EMF） observation/torque estimation/parameter identification/sliding-modeobserver （SMO）分类
信息技术与安全科学引用本文复制引用
郭鸿浩,周波,左广杰,许恩利,唐国芬..无刷直流电机转矩观测与电感自适应辨识[J].中国电机工程学报,2011,31(33):151-158,8.基金项目
基金项目：江苏省创新学者攀登计划（BK2009019) （）
江苏省“六大人才高峰”高层次人才项目（P0953032). （）
