Interval Sliding Mode Observer Based Incipient Sensor Fault Detection With Application to a Traction Device in China Railway High-Speed

This paper proposes an interval sliding mode observer (ISMO) and an incipient sensor faults detection method for a class of nonlinear control systems with observer unmatched uncertainties. The interval bounds for continuous nonlinear functions and new injection functions are constructed to design ISMOs. An incipient fault detection framework with newly designed residual and threshold generators is proposed. The detectability is then studied, and a set of sufficient detectable conditions are presented. Applications to an electrical traction device used in China Railway High-speed (CRH) are presented to verify the effectiveness of the proposed incipient sensor fault detection methodology.

[1]  Zehui Mao,et al.  Sliding mode observer based incipient sensor fault detection with application to high-speed railway traction device. , 2016, ISA transactions.

[2]  Zehui Mao,et al.  Interval sliding mode observer based incipient fault detection with application to a high-speed railway traction device , 2016, 2016 IEEE International Symposium on Robotics and Intelligent Sensors (IRIS).

[3]  Olivier Bernard,et al.  Robust interval observers for global Lipschitz uncertain chaotic systems , 2010, Syst. Control. Lett..

[4]  Marios M. Polycarpou,et al.  Fault diagnosis of a class of nonlinear uncertain systems with Lipschitz nonlinearities using adaptive estimation , 2010, Autom..

[5]  J. Gouzé,et al.  Interval observers for uncertain biological systems , 2000 .

[6]  Jianbin Qiu,et al.  A Combined Fault-Tolerant and Predictive Control for Network-Based Industrial Processes , 2016, IEEE Transactions on Industrial Electronics.

[7]  Peng Shi,et al.  Adaptive Neural Fault-Tolerant Control of a 3-DOF Model Helicopter System , 2016, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

[8]  P. Olver.  Nonlinear Systems , 2013 .

[9]  WenSheng Song,et al.  A neutral point voltage regulation method with SVPWM control for single-phase three-level NPC converters , 2008, 2008 IEEE Vehicle Power and Propulsion Conference.

[10]  Zhi-Hui Zhang,et al.  Interval Observer-Based Fault Isolation for Discrete-Time Fuzzy Interconnected Systems With Unknown Interconnections , 2017, IEEE Transactions on Cybernetics.

[11]  Raoul Velazco,et al.  A Survey on Fault Injection Techniques , 2004, Int. Arab J. Inf. Technol..

[12]  Mustapha Ait Rami,et al.  A robust estimation approach for uncertain systems with perturbed measurements , 2016 .

[13]  Xiaodong Zhang,et al.  Sensor Bias Fault Detection and Isolation in a Class of Nonlinear Uncertain Systems Using Adaptive Estimation , 2011, IEEE Transactions on Automatic Control.

[14]  Jianbin Qiu,et al.  Adaptive Fault-Tolerant Control for Nonlinear System With Unknown Control Directions Based on Fuzzy Approximation , 2017, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

[15]  Mehrdad Saif,et al.  A new approach to robust fault detection and identification , 1993 .

[16]  Rongrong Wang,et al.  Passive Actuator Fault-Tolerant Control for a Class of Overactuated Nonlinear Systems and Applications to Electric Vehicles , 2013, IEEE Transactions on Vehicular Technology.

[17]  M. B. Zarrop,et al.  Sliding Mode Observers for Robust Sensor Monitoring , 1996 .

[18]  Hui Zhang,et al.  Active Steering Actuator Fault Detection for an Automatically-Steered Electric Ground Vehicle , 2017, IEEE Transactions on Vehicular Technology.

[19]  Denis V. Efimov,et al.  Some recent results on the design and implementation of interval observers for uncertain systems , 2018, Autom..

[20]  Jie Chen,et al.  Robust Model-Based Fault Diagnosis for Dynamic Systems , 1998, The International Series on Asian Studies in Computer and Information Science.

[21]  Jun Yang,et al.  Generalized Extended State Observer Based Control for Systems With Mismatched Uncertainties , 2012, IEEE Transactions on Industrial Electronics.

[22]  Weihua Gui,et al.  A Fault-Injection Strategy for Traction Drive Control Systems , 2017, IEEE Transactions on Industrial Electronics.

[23]  Wen Chen,et al.  Observer-based strategies for actuator fault detection, isolation and estimation for certain class of uncertain nonlinear systems , 2007 .

[24]  Anuradha M. Annaswamy,et al.  Adaptive control of continuous time systems with convex/concave parametrization , 1998, Autom..

[25]  Ali Zolghadri,et al.  Interval observer design for consistency checks of nonlinear continuous-time systems , 2010, Autom..

[26]  Steven X. Ding,et al.  Model-based Fault Diagnosis Techniques: Design Schemes, Algorithms, and Tools , 2008 .

[27]  Paul M. Frank,et al.  Fault diagnosis in dynamic systems using analytical and knowledge-based redundancy: A survey and some new results , 1990, Autom..

[28]  Vicenç Puig,et al.  Passive Robust Fault Detection of Dynamic Processes Using Interval Models , 2008, IEEE Transactions on Control Systems Technology.

[29]  Hak-Keung Lam,et al.  Adaptive Sliding Mode Control for Interval Type-2 Fuzzy Systems , 2016, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

[30]  Chee Pin Tan,et al.  Sliding mode observers for fault detection and isolation , 2002 .

[31]  Rongrong Wang,et al.  Fault-tolerant control with active fault diagnosis for four-wheel independently-driven electric ground vehicles , 2011, Proceedings of the 2011 American Control Conference.

[32]  Zehui Mao,et al.  Incipient Voltage Sensor Fault Isolation for Rectifier in Railway Electrical Traction Systems , 2017, IEEE Transactions on Industrial Electronics.

[33]  Leonid M. Fridman,et al.  Interval estimation for LPV systems applying high order sliding mode techniques , 2012, Autom..

[34]  Christopher Edwards,et al.  Nonlinear robust fault reconstruction and estimation using a sliding mode observer , 2007, Autom..

[35]  Alexander Abramovitz.  An Approach to Average Modeling and Simulation of Switch-Mode Systems , 2011, IEEE Transactions on Education.

[36]  Marcel Staroswiecki,et al.  Fault Accommodation for Nonlinear Dynamic Systems , 2006, IEEE Transactions on Automatic Control.

[37]  Anuradha M. Annaswamy,et al.  Adaptation in the presence of a general nonlinear parameterization: an error model approach , 1999, IEEE Trans. Autom. Control..

[38]  Denis V. Efimov,et al.  Interval observers for continuous-time LPV systems with L1/L2 performance , 2015, Autom..