Prediction-error-based active disturbance rejection speed control for maglev train linear synchronous motor.

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Bibliographic Details
Title: Prediction-error-based active disturbance rejection speed control for maglev train linear synchronous motor.
Authors: Zhang, Wenbai1,2,3 (AUTHOR) zhangwenbai@tongji.edu.cn, Lin, Guobin1,2,3 (AUTHOR) 12154@tongji.edu.cn, Liao, Zhiming1,2,3 (AUTHOR) liaozhiming@tongji.edu.cn, Zhao, Yuanzhe1,2,3 (AUTHOR) yuanzhezhao@tongji.edu.cn
Source: Electrical Engineering. Jun2026, Vol. 108 Issue 6, p1-12. 12p.
Subjects: Magnetic levitation vehicles, Synchronous electric motors, Motion control devices, Adaptive filters, Lyapunov stability, Measurement errors, Observability (Control theory)
Abstract: To address the speed regulation challenges stemming from external running resistance variations and internal suspension-induced parameter fluctuations in electromagnetic suspension (EMS) maglev train linear synchronous motor (LSM) drives, this article presents a novel prediction-error-based active disturbance rejection speed control (PADRC). The mathematical model of train motion is established, incorporating lumped process disturbances. Based on this model, a predictive speed error model driven extended state observer (PESO) method is proposed to reject external resistance disturbance. To extract errors dynamics while mitigating noise effects, a recursive least squares (RLS) filter is integrated to proactively predict the variation trends of these disturbances. Besides, an online excitation flux linkage identification scheme is designed to minimize internal suspension-induced disturbances, characterizing the magnetic field variations influenced by excitation current and suspension air-gap. Moreover, stability analysis of the closed-loop system with the proposed scheme is conducted using Lyapunov stability theorem. To finalize, a scaled EMS maglev train LSM test platform is constructed to validate the proposed method. The results demonstrate that the proposed scheme achieves superior speed tracking precision in a real-time control environment, even in low-speed range. [ABSTRACT FROM AUTHOR]
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Database: Engineering Source
Description
Abstract:To address the speed regulation challenges stemming from external running resistance variations and internal suspension-induced parameter fluctuations in electromagnetic suspension (EMS) maglev train linear synchronous motor (LSM) drives, this article presents a novel prediction-error-based active disturbance rejection speed control (PADRC). The mathematical model of train motion is established, incorporating lumped process disturbances. Based on this model, a predictive speed error model driven extended state observer (PESO) method is proposed to reject external resistance disturbance. To extract errors dynamics while mitigating noise effects, a recursive least squares (RLS) filter is integrated to proactively predict the variation trends of these disturbances. Besides, an online excitation flux linkage identification scheme is designed to minimize internal suspension-induced disturbances, characterizing the magnetic field variations influenced by excitation current and suspension air-gap. Moreover, stability analysis of the closed-loop system with the proposed scheme is conducted using Lyapunov stability theorem. To finalize, a scaled EMS maglev train LSM test platform is constructed to validate the proposed method. The results demonstrate that the proposed scheme achieves superior speed tracking precision in a real-time control environment, even in low-speed range. [ABSTRACT FROM AUTHOR]
ISSN:09487921
DOI:10.1007/s00202-026-03639-5