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Event-Triggered Sliding Mode Control Using the Interval Type-2 Fuzzy Logic for Steer-by-Wire Systems with Actuator Fault

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Abstract

This paper proposes a fuzzy modeling and event-triggered adaptive sliding mode control for steer-by-wire (SbW) systems subject to uncertain nonlinearity, time-varying perturbation, actuator fault, and limited communication resources. First, an interval type-2 fuzzy logic system (IT2 FLS) based on Lyapunov's adaptive scheme is built to model the uncertain nonlinearity. Then, an event-triggered adaptive sliding mode control method is designed to overcome the limited communication resources, time-varying perturbation, and actuator fault. This method eliminates the chattering phenomenon by utilizing nested adaptive technology and has practical finite-time stability. Theoretical analysis shows that the Zeno phenomenon is excluded. Finally, the validity of the methods is evaluated using simulations and vehicle experiments.

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Acknowledgements

This work is partially supported by the National Natural Science Foundation of China (Grant No. 51775103 and 61773068), the State Key Laboratory Foundation of Synthetical Automation for Process Industries, Northeastern University, and Ningxia Natural Science Foundation of China (Grant No. 2022AAC03348).

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Authors and Affiliations

  1. School of Mechanical Engineering and Automation, Northeastern University, Shenyang, Liaoning, 110819, China

    Hongjuan Li & Yongfu Wang

  2. School of Mechanical Engineering, Ningxia Institute of Science and Technology, Shizuishan, 753000, China

    Hongjuan Li

  3. Beijing Institute of Nearspace Vehicle’s Systems Engineering, Beijing, 100076, China

    Ming Tie

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  1. Hongjuan Li
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  2. Ming Tie
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Correspondence to Yongfu Wang.

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Li, H., Tie, M. & Wang, Y. Event-Triggered Sliding Mode Control Using the Interval Type-2 Fuzzy Logic for Steer-by-Wire Systems with Actuator Fault. Int. J. Fuzzy Syst. 24, 3104–3117 (2022). https://doi.org/10.1007/s40815-022-01323-x

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  • DOI: https://doi.org/10.1007/s40815-022-01323-x

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