Abstract：The application of multi-model algorithm in speed sensorless control of induction motor is studied. An approach of speed estimation and parameters identification is established, based on single filter multi-model algorithm. In order to improve estimation performance and reduce the computational burden, the algorithm is optimized on use of variable structure. Simulation and experimental results show that the proposed algorithm can estimate the speed and flux availably, and it has more satisfactory estimation precision and response speed than extended Kalman filter (EKF). The algorithm can make the system model to match the true system by adjusting the model probability, so it has strong ability of tracking the variety of parameters, and cripples the error of states estimation due to model error. Simultaneously, the algorithm has less computational complexity than original multi- model algorithm, and is suitable for real-time application.
陆可, 肖建. 基于单滤波器多模型算法的异步电动机参数自适应转速估计[J]. 电工技术学报, 2009, 24(1): 70-75.
Lu Ke, Xiao Jian. Speed Estimation With Parameter Adaptation of Induction Motors Based on Single Filter Multi-Model Algorithm. Transactions of China Electrotechnical Society, 2009, 24(1): 70-75.
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