平面开关磁阻电机非线性力电流转换模型

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Abstract This paper proposed a nonlinear model of force-to-current inverse transform for the planar switched reluctance motor (PSRM) to improve motion accuracy. This model was expressed as a sparse least squares support vector machines (LS-SVM). The training set was firstly acquired from experimental measurement. The parameters of the sparse LS-SVM were further determined through the cross-validation method. Then the accuracy of the sparse LS-SVM was assessed via the testing set from experimental measurement. Additionally, the PSRM system with PD controllers was built by this model. Finally, the experiments of system motion control were carried out. The results demonstrated that with the proposed model, the precision of estimated current is high and the modeling error is small. The PSRM system based on the model can achieve trajectory tracking steadily, smoothly, and accurately.

Key words： Planar switched reluctance motor model of force-to-current transform model nonlinear modeling sparse least squares support vector machines

Received: 24 June 2015 Published: 08 February 2017

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https://dgjsxb.ces-transaction.com/EN/ OR https://dgjsxb.ces-transaction.com/EN/Y2017/V32/I2/135

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