Welcome to Journal of Automotive Safety and Energy,

Journal of Automotive Safety and Energy ›› 2023, Vol. 14 ›› Issue (6): 734-743.DOI: 10.3969/j.issn.1674-8484.2023.06.010

• Intelligent Driving and Intelligent Transportation • Previous Articles     Next Articles

Fuzzy sliding mode security control of autonomous unmanned vehicle actuator attacks

SUN Hongtao1(), WANG Chen1, ZHAO Qingtang2, WANG Zhiwen3   

  1. 1. College of Engineering, Qufu Normal University, Rizhao 276826, China
    2. Weichai Lovol Intelligent Agricultural Technology Co., Ltd, Weifang, 261200, China
    3. College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou 730050, China
  • Received:2023-06-29 Revised:2023-08-30 Online:2023-12-31 Published:2023-12-29

Abstract:

A robust safety control design method based on fuzzy sliding mode variable structure was proposed to solve the path following control problem of autonomous unmanned vehicle (AUV) with actuator attacks. A state-space-based path following control model was established to characterize the dynamic behaviors of AUV. Using the invariance of sliding mode to the actuator attack signal, an integral sliding mode safety control strategy was designed, by selecting appropriate Lyapunov function candidate, the stability of AUV path following control and the gain of front wheel angle control under actuator attacks were derived. The adaptively adjustable switching term gain was designed by combining fuzzy control rules, MATLAB/Simulink and CarSim co-simulation platform were used to verify the effectiveness of the proposed control strategy. The results show that the maximum error of path following is reduced by 5.6% and 6.2%, the steering wheel angle is reduced by 73.9% and 75.4%, and the side slip is reduced by 249.9% and 213.9%, respectively comparing with the case that the vehicle speed is 72 km/h under single and double line-shifting conditions. This control strategy can increase the robustness of AUV path following process and ensure good path following performance.

Key words: autonomous unmanned vehicle(AUV), path following, actuator attacks, sliding mode control, fuzzy control

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