Mean Deviation Coupling Control for Multimotor System via Global Fast Terminal Sliding Mode Control | Zendy

Changlin Zhu | Zendy; Qunzhang Tu | Zendy; Chengming Jiang | Zendy; Ming Pan | Zendy; Hao Huang | Zendy; Zhiwen Tu | Zendy

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Mean Deviation Coupling Control for Multimotor System via Global Fast Terminal Sliding Mode Control

Author(s) -

Changlin Zhu,

Qunzhang Tu,

Chengming Jiang,

Ming Pan,

Hao Huang,

Zhiwen Tu

Publication year - 2021

Publication title -

advances in mathematical physics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.283

H-Index - 23

eISSN - 1687-9139

pISSN - 1687-9120

DOI - 10.1155/2021/9200267

Subject(s) - control theory (sociology) , terminal sliding mode , standard deviation , observer (physics) , controller (irrigation) , lyapunov function , synchronization (alternating current) , coupling (piping) , sliding mode control , computer science , frame (networking) , mathematics , control (management) , engineering , topology (electrical circuits) , physics , artificial intelligence , mechanical engineering , telecommunications , statistics , nonlinear system , quantum mechanics , combinatorics , agronomy , biology

In view of the shortcomings of the existing multimotor synchronous control strategy, a new method of mean deviation coupling control for multimotor system via global fast terminal sliding mode control is proposed. Firstly, the mathematical model of permanent magnet synchronous motor (PMSM) under a d - q reference frame is established. Next, based on the deviation coupling control, the deviation is calculated by the average speed, and the structure of the deviation coupling control strategy is optimized. The speed controller of the multimotor system is designed based on the global fast terminal sliding mode control (GFTSMC) algorithm to improve the synchronization accuracy of the system. In addition, a load torque Luenberger observer is designed to observe the load in real time. Then, the stability analysis of the controller is carried out by using the Lyapunov function. Finally, a four-motor experimental platform is built to verify the effectiveness of the proposed control strategy.

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