Fixed-Time Sliding Mode Control for Linear Motor Traction Systems with Prescribed Performance

Chunguang Yang, Guanyang Hu, Qichao Song (), Yachao Wang and Weilin Yang
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Chunguang Yang: School of Control Technology, Wuxi Institute of Technology, Wuxi 214121, China
Guanyang Hu: School of Internet of Things Engineering, Jiangnan University, Wuxi 214122, China
Qichao Song: School of Control Technology, Wuxi Institute of Technology, Wuxi 214121, China
Yachao Wang: State Grid Jibei Marketing Service Center, No. 1, Dizangnanxiang Road, Beijing 100000, China
Weilin Yang: School of Internet of Things Engineering, Jiangnan University, Wuxi 214122, China

Energies, 2024, vol. 17, issue 4, 1-12

Abstract: In this research, we propose a fixed-time sliding mode controller using a prescribed performance control approach to address the speed tracking problem in linear motor traction systems, which are powered by high-power permanent magnet linear synchronous motors (PMLSMs). Initially, to tackle the issue of the convergence time and dynamic response associated with traditional finite-time sliding mode controllers, we introduce a fixed-time sliding mode controller. This controller guarantees that the system state converges to the origin within a specified upper time limit. Subsequently, to enhance the dynamic response of the PMLSM and minimize speed errors, we integrate the prescribed performance control strategy with a fixed-time sliding mode controller. This effectively limits the motor’s speed error within the predefined function boundaries, reduces system overshoo, and mitigates system jitter to a certain degree. Finally, simulation results are presented to validate that the proposed control strategy significantly enhances precision of speed tracking in PMLSMs.

Keywords: fixed-time sliding mode controller; prescribed performance; linear motor traction systems; permanent magnet linear synchronous motors (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
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