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Inverse control of multi-dimensional Taylor network for permanent magnet synchronous motor

Chao Zhang (Key Laboratory of Measurement and Control of Complex Systems of Engineering, Ministry of Education and School of Automation, Southeast University, Nanjing, China and Department of Automatic Control, Henan Institute of Technology, Xinxiang, China)
Hong-Sen Yan (Key Laboratory of Measurement and Control of Complex Systems of Engineering, Ministry of Education and School of Automation, Southeast University, Nanjing, China)
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Abstract

Purpose

The purpose of this paper is to propose a new control strategy based on adaptive inverse control aiming at high performance control of permanent magnet synchronous motor (PMSM).

Design/methodology/approach

This scheme adopts the vector control with double closed-loop structure and introduces a multi-dimensional Taylor network (MTN) inverse control method into velocity-loop. First, the invertibility of PMSM’s mathematical model is proved. Second, a novel dynamic network (MTN) is presented, which has simple structure and faster computing speed. Besides, to realize the high-precision speed control, three MTNs are applied to achieve system modeling, inverse modeling and noise disturbance elimination which correspond to the function of the adaptive identifier, adaptive feed-forward controller and nonlinear adaptive filter, respectively.

Findings

This scheme is designed with the full consideration of the PMSM’s particularity. For the PMSM’s unknown dynamics and time-varying characteristics, the variable forgetting factor recursive least squares algorithm is adopted to improve identification ability, and the weight-elimination algorithm is used to remove redundant regression items in the MTN identifier and inverse controller. In addition, to reduce the influence arose from measurement noise and other stochastic factors, adaptive MTN filter is introduced to eliminate noise disturbance. The computational results show that the proposed scheme possesses excellent control performance and better robustness against the load disturbance.

Originality/value

The paper presents a new inverse control scheme with MTN which is practical and flexible, and the MTN-based control system is very promising for real-time applications.

Keywords

Acknowledgements

The authors would like to thank the editors and the reviewers for their constructive comments. This work was supported by the National Natural Science Foundation of China under Grants 61673112 and 60934008, the Fundamental Research Funds for the Central Universities of China under Grants 2242017K10003 and 2242014K10031, and a Project Funded by the Priority Academic Program Development of Jiangsu Higher Education Institutions (PAPD). Both authors contributed equally to this work.

Citation

Zhang, C. and Yan, H.-S. (2017), "Inverse control of multi-dimensional Taylor network for permanent magnet synchronous motor", COMPEL - The international journal for computation and mathematics in electrical and electronic engineering, Vol. 36 No. 6, pp. 1676-1689. https://doi.org/10.1108/COMPEL-12-2016-0565

Publisher

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Emerald Publishing Limited

Copyright © 2017, Emerald Publishing Limited

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