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      Distributed Cooperative Sliding Mode Fault-Tolerant Control for Multiple High-Speed Trains Based on Actor-Critic Neural Network

      1 , 2
      Journal of Mathematics
      Hindawi Limited

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          Abstract

          This article investigates the cooperative fault-tolerant control problem for multiple high-speed trains (MHSTs) with actuator faults and communication delays. Based on the actor-critic neural network, a distributed sliding mode fault-tolerant controller is designed for MHSTs to solve the problem of actuator faults. To eliminate the negative effects of unknown disturbances and time delay on train control system, a distributed radial basis function neural network (RBFNN) with adaptive compensation term of the error is designed to approximate the nonlinear disturbances and predict the time delay, respectively. By calculating the tracking error online, an actor-critic structure with RBFNN is used to estimate the switching gain of the distributed controller, which reduces the chattering phenomenon caused by sliding mode control. The global stability and ultimate bounded of all signals of the closed-loop system are proposed with strict mathematic proof. Simulations show that the proposed method has superior effectiveness and robustness compared with other fault-tolerant control methods, which ensures the safe operation of MHSTs under moving block conditions.

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          Most cited references9

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          Actuator fault tolerant control using adaptive RBFNN fuzzy sliding mode controller for coaxial octorotor UAV

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            Adaptive fuzzy fault‐tolerant control for multiple high‐speed trains with proportional and integral‐based sliding mode

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              • Abstract: not found
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              Real-time control method for communication network of high-speed EMU based on T-S fuzzy model

              T. Zhang, Zhang (2018)
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                Author and article information

                Contributors
                Journal
                Journal of Mathematics
                Journal of Mathematics
                Hindawi Limited
                2314-4785
                2314-4629
                May 10 2021
                May 10 2021
                : 2021
                : 1-13
                Affiliations
                [1 ]College of Electrical and Information Engineering, Dalian Jiaotong University, Dalian 116028, China
                [2 ]College of Locomotive and Rolling Stock Engineering, Dalian Jiaotong University, Dalian 116028, China
                Article
                10.1155/2021/9943170
                21c2fa2f-dcbc-4a7d-ba50-28d8a497a220
                © 2021

                https://creativecommons.org/licenses/by/4.0/

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