Adaptive fault-tolerant automatic train operation using RBF neural networks

In order to accommodate actuator failures which are unknown in amplitude and time, adaptive fault-tolerant control schemes are proposed for automatic train operation system. Firstly a basic design scheme on the basis of direct adaptive control is considered. It is demonstrated that, when actuator failures occur, asymptotical speed and position tracking are guaranteed. Then a new user-friendly control scheme is proposed which can eliminate the undesirable chattering phenomenon, which is the defect of the previous method. Simulation results verify the effectiveness of established theoretical results that satisfactory speed tracking and position tracking can be guaranteed in the presence of uncertain actuator failures in automatic train operation systems.

[1]  Xiaohua Xia,et al.  Cruise control scheduling of heavy haul trains , 2006, IEEE Transactions on Control Systems Technology.

[2]  M. Spong.  On the robust control of robot manipulators , 1992 .

[3]  Tang Tao,et al.  Adaptive Stopping Control of Urban Rail Vehicle , 2012 .

[4]  J. Doyle,et al.  Robust and optimal control , 1995, Proceedings of 35th IEEE Conference on Decision and Control.

[5]  R.D. Pascoe,et al.  What is communication-based train control? , 2009, IEEE Vehicular Technology Magazine.

[6]  Phil Howlett,et al.  Optimal strategies for the control of a train , 1996, Autom..

[7]  Phil Howlett,et al.  Optimal driving strategies for a train on a track with continuously varying gradient , 1997, The Journal of the Australian Mathematical Society. Series B. Applied Mathematics.

[8]  Tao Tao,et al.  Fault-tolerant Control of High-speed Trains with Uncertain Parameters and Actuator Failures Using Control Reallocation and Adaptive Control , 2013 .

[9]  Luo Ren-shi.  Study on Iterative Learning Control in Automatic Train Operation , 2013 .

[10]  Hooshang Jazayeri-Rad,et al.  Multi-sensor fault tolerant measurement based on Tagaki–Sugeno fuzzy model , 2012, Neural Computing and Applications.

[11]  Xiangtao Zhuan.  Fault-tolerant control of heavy-haul trains , 2010 .

[12]  Hirokazu Ihara,et al.  FUZZY CONTROL FOR AUTOMATIC TRAIN OPERATION SYSTEM , 1984 .

[13]  Li Li,et al.  Extended fuzzy logic controller for high speed train , 2011, Neural Computing and Applications.

[14]  Marios M. Polycarpou,et al.  Adaptive fault-tolerant control of nonlinear uncertain systems: an information-based diagnostic approach , 2004, IEEE Transactions on Automatic Control.

[15]  Petros A. Ioannou,et al.  Adaptive Systems with Reduced Models , 1983 .

[16]  Dong Hai-rong.  Fuzzy-PID soft switching speed control of automatic train operation system , 2010 .

[17]  Yun Ping Sun,et al.  Mixed H2/H cruise controller design for high speed train , 2001 .

[18]  Mo-Yuen Chow,et al.  A neural networks-based negative selection algorithm in fault diagnosis , 2007, Neural Computing and Applications.

[19]  C. S. Chang,et al.  Differential evolution based tuning of fuzzy automatic train operation for mass rapid transit system , 2000 .

[20]  Petros A. Ioannou,et al.  Robust Adaptive Control , 2012 .

[21]  Darren M. Dawson,et al.  Integrator backstepping control of a brush DC motor turning a robotic load , 1994, IEEE Trans. Control. Syst. Technol..

[22]  Petar V. Kokotovic,et al.  Instability analysis and improvement of robustness of adaptive control , 1984, Autom..

[23]  Huang Hai,et al.  Train Speed Control Algorithm Based on PID Controller and Single-Neuron PID Controller , 2010, 2010 Second WRI Global Congress on Intelligent Systems.

[24]  Phil G. Howlett,et al.  Local energy minimization in optimal train control , 2009, Autom..

[25]  Phil Howlett,et al.  Energy-efficient train control , 1994 .

[26]  Ning Bin.  Study on ATO Control Algorithm with Consideration of ATP Speed Limits , 2012 .

[27]  Xiaohua Xia,et al.  Speed regulation with measured output feedback in the control of heavy haul trains , 2008, Autom..

[28]  Rongfang Rachel Liu,et al.  Energy-efficient operation of rail vehicles , 2003 .

[29]  Marios M. Polycarpou,et al.  Stable adaptive neural control scheme for nonlinear systems , 1996, IEEE Trans. Autom. Control..

[30]  Fuchun Sun,et al.  A robust training algorithm of discrete-time MIMO RNN and application in fault tolerant control of robotic system , 2010, Neural Computing and Applications.

[31]  Wikimedia Commons,et al.  Automatic Train Control System Development and Simulation for High-Speed Railways , 2010 .