Discrete-Time Sliding Mode Repetitive Control for Servo Motor Systems

This article proposes a novel discrete-time sliding mode repetitive control (SMRC) for high-precision position tracking in servo motor systems. By integrating the principles of repetitive control (RC) with the robustness of sliding mode control (SMC), this method effectively manages uncertainties and disturbances, thus enhancing stability and tracking accuracy. The approach leverages the robust features of SMC to stabilize the system while utilizing RC to precisely track periodic references and mitigate external disturbances. Through rigorous analytical and simulation studies, the proposed controller demonstrates superior stability and robustness compared to conventional and filtered RC methods. Furthermore, this SMRC framework shows significant potential in augmenting the reliability and accuracy of complex discrete control systems. The effectiveness and advancement of the proposed method are substantiated through experimental tests conducted on a Quanser motor servo system, alongside comparisons with three existing control methods.

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Institutions

Publication Details

Journal
IEEE/ASME Transactions on Mechatronics
Published
2025-05-06
DOI
https://doi.org/10.1109/tmech.2025.3561026
Citations
1
Primary Topic
Iterative Learning Control Systems
Type
article
Field-Weighted Citation Impact
1.21

Funders

Controls
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article

Discrete-Time Sliding Mode Repetitive Control for Servo Motor Systems

Zhenwei Cao, Raja Fawad Afsar Khan, Xinghuo Yu, Yong Feng
1 citations
IEEE/ASME Transactions on Mechatronics
Iterative Learning Control Systems
1.21
article

Discrete-Time Sliding Mode Repetitive Control for Servo Motor Systems

Zhenwei Cao, Raja Fawad Afsar Khan, Xinghuo Yu, Yong Feng
article en
1 citations

Abstract

This article proposes a novel discrete-time sliding mode repetitive control (SMRC) for high-precision position tracking in servo motor systems. By integrating the principles of repetitive control (RC) with the robustness of sliding mode control (SMC), this method effectively manages uncertainties and disturbances, thus enhancing stability and tracking accuracy. The approach leverages the robust features of SMC to stabilize the system while utilizing RC to precisely track periodic references and mitigate external disturbances. Through rigorous analytical and simulation studies, the proposed controller demonstrates superior stability and robustness compared to conventional and filtered RC methods. Furthermore, this SMRC framework shows significant potential in augmenting the reliability and accuracy of complex discrete control systems. The effectiveness and advancement of the proposed method are substantiated through experimental tests conducted on a Quanser motor servo system, alongside comparisons with three existing control methods.

IEEE/ASME Transactions on MechatronicsVol. 30(6)
Swinburne University of Technology (AU), RMIT University (AU)
National Natural Science Foundation of China, Australian Research Council
Affordable and clean energy
Openalex Percentile: Top 22%
Iterative Learning Control Systems
1.21
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Discrete-Time Sliding Mode Repetitive Control for Servo Motor Systems — Zhenwei Cao, Raja Fawad Afsar Khan, et al. · IEEE/ASME Transactions on Mechatronics (2025) | TGRS Research Map | TGRS