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

2017 ◽  
Vol 11 (8) ◽  
pp. 1234-1244 ◽  
Author(s):  
Xiang-Gui Guo ◽  
Jian-Liang Wang ◽  
Fang Liao
Keyword(s):  
High Speed ◽  
Fault Tolerant ◽  
Sliding Mode ◽  
Fault Tolerant Control ◽  
Adaptive Fuzzy ◽  
High Speed Trains

Adaptive Fuzzy Fault-Tolerant Control for Multiple High Speed Trains

2019 ◽  
pp. 79-97
Author(s):  
Xiang-Gui Guo ◽  
Jian-Liang Wang ◽  
Fang Liao ◽  
Rodney Teo
Keyword(s):  
High Speed ◽  
Fault Tolerant ◽  
Fault Tolerant Control ◽  
Adaptive Fuzzy ◽  
High Speed Trains

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

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Xiangyu Kong ◽  
Tong Zhang
Keyword(s):  
Neural Network ◽  
Time Delay ◽  
High Speed ◽  
Fault Tolerant ◽  
Sliding Mode ◽  
Tracking Error ◽  
Fault Tolerant Control ◽  
Actuator Faults ◽  
High Speed Trains ◽  
Critic Neural Network

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.

Neural Adaptive Fault Tolerant Control for High Speed Trains Considering Actuation Notches and Antiskid Constraints

2019 ◽  
Vol 20 (5) ◽  
pp. 1706-1718 ◽  
Author(s):  
Dan-Yong Li ◽  
Peng Li ◽  
Wen-Chuan Cai ◽  
Xiao-Ping Ma ◽  
Bing Liu ◽  
...  
Keyword(s):  
High Speed ◽  
Fault Tolerant ◽  
Fault Tolerant Control ◽  
High Speed Trains

Fault-Tolerant Control of High-Speed Trains with Parameter Uncertainty

2013 ◽  
Vol 325-326 ◽  
pp. 1099-1105 ◽  
Author(s):  
Tao Tao ◽  
Hong Ze Xu
Keyword(s):  
Parameter Uncertainty ◽  
High Speed ◽  
Fault Tolerant ◽  
Fault Tolerant Control ◽  
Fault System ◽  
Linear Matrix ◽  
Actuator Faults ◽  
Response Curves ◽  
Tracking Controller ◽  
High Speed Trains

This paper studies the robust fault-tolerant control problem against actuator faults and parameter uncertainty for High-Speed Trains. First, models of actuator faults and parameter uncertainty are presented. Then a robust fault-tolerant tracking controller design method is developed. This method is based on the mixed Linear Matrix Inequalities (LMI)/Lyapunov stability theory. Tracking control examples and simulations are given, and the response curves of the fault system and the system with the fault-tolerant tracking controller are presented.

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