doi:

DOI: 10.3724/SP.J.1219.2013.00657

Information and Control (信息与控制) 2013/42:6 PP.657-663

Model Reference Adaptive Decoupling Controller Based on Neural Network Generalized Inverse for PMSM


Abstract:
An adaptive decoupling controller for permanent-magnet synchronous motor (PMSM) is proposed to linearize and decouple the speed regulation system. The proposed intelligent controller adopts a model reference adaptive decoupling-neural network generalized inverse (MRAD-NNGI) controller, in which the feedback loop is constructed by model reference adaptive (MRA) controller and the feed-forward loop is constructed by two front controllers. The MRAD-NNGI controller combines the merits of the high-precision tracking ability of self-adaptive theory and the decoupling ability of artificial neural networks. The feed-forward controller is employed to effectively improve the anti-interference performance. The simulation and experimental results show that the proposed MRAD-NNGI controller takes on good stability and precise response regardless of the load disturbances and the system parameters variations.

Key words:permanent-magnet synchronous motor (PMSM),neural network generalized inverse,model reference adaptive,decoupling

ReleaseDate:2015-04-15 18:52:35



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