Nonlinear Dynamic Modelling of the Planar Switched Reluctance Motor Using Multi-innovation Recursive Extended Least Squares Method
ID:78 View Protection:PUBLIC Updated Time:2021-06-28 14:42:08 Hits:1081 Poster Presentation

Start Time:2021-07-02 14:39(Asia/Shanghai)

Duration:1min

Session:SP Poster Session » P1Poster Session 1 & 2

Abstract
To improve the accuracy of dynamic model for planar switched reluctance motors (PSRMs), a nonlinear dynamic model based multi-innovation recursive extended least squares (MI-RELS) is proposed in this paper. A Hammerstein model composed of a nonlinear static and a linear dynamic is first developed for a PSRM developed in the laboratory, in which the nonlinear static is used to deal with the nonlinear characteristics. Then, with the experimental sample data, the parameters of the linear dynamic are determined by using the Ml-RELS identification method. The effectiveness of the proposed model is finally verified via simulation and experiment.
Keywords
Planar switched reluctance motors, System modeling, Hammerstein model, a multi-innovation recursive extended least squares.
Speaker
Xiang-Yi Deng
Guangdong Key Laboratory of Electromagnetic Control and Intelligent Robots; Shenzhen University

Submission Author
Guang-Zhong Cao Guangdong Key Laboratory of Electromagnetic Control and Intelligent Robots; Shenzhen University
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  • Conference Date

    Jul 01

    2021

    to

    Jul 04

    2021

  • Jul 03 2021

    Contribution Submission Deadline

  • Nov 03 2021

    Registration deadline

Sponsored By
Huazhong University of Science and Technology, China
Supported By
University of Sydney, Australia
Southwest Jiaotong University, China
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