Nonlinear Model of Force-to-Current Inverse Transform for the Planar Switched Reluctance Motor
Huang Sudan1, Cao Guangzhong1, Qian Qingquan2, Duan Ji’an3
1. Shenzhen Key Laboratory of Electromagnetic Control Shenzhen University Shenzhen 518060 China; 2. Department of Electrical Engineering Southwest Jiaotong University Chengdu 610031 China; 3. State Key Laboratory of High Performance Complex Manufactory Central South UniversityChangsha 410083 China
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.
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2017, Vol. 32 
