Incipient sensor fault estimation and accommodation for inverter devices in electric railway traction systems

This paper proposes an incipient sensor fault estimation and accommodation method for three-phase PWM inverter devices in electric railway traction systems. First, the dynamics of inverters and incipient voltage sensor faults are modelled. Then, for the augmented system formed by original inverter system and incipient sensor faults, an optimal adaptive unknown input observer is proposed to estimate the inverter voltages, currents and the incipient sensor faults. The designed observer guarantees that the estimation errors converge to the minimal invariant ellipsoid. Moreover, based on the output regulator via internal model principle, the fault accommodation controller is proposed to ensure that the vod and voq voltages track the desired reference voltages with the tracking error converging to the minimal invariant ellipsoid. Finally, simulations based on the traction system in CRH2 (China Railway High-speed) are presented to verify the effectiveness of the proposed method.

[1]  Marios M. Polycarpou,et al.  Learning approach to nonlinear fault diagnosis: detectability analysis , 2000, IEEE Trans. Autom. Control..

[2]  Jie Zhang.  Improved on-line process fault diagnosis through information fusion in multiple neural networks , 2006, Comput. Chem. Eng..

[3]  Halim Alwi,et al.  Sliding mode estimation schemes for incipient sensor faults , 2009, Autom..

[4]  Christopher Edwards,et al.  Sensor fault tolerant control using sliding mode observers , 2006 .

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

[6]  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.

[7]  Xiukun Wei,et al.  LMI solutions to the mixed ℋ︁−/ℋ︁∞ fault detection observer design for linear parameter‐varying systems , 2011 .

[8]  Fahmida N. Chowdhury,et al.  Analysis and detection of incipient faults in post‐fault systems subject to adaptive fault‐tolerant control , 2008 .

[9]  Jianglin Lan,et al.  Integrated design of robust fault estimation and fault-tolerant control for linear systems , 2015, 2015 54th IEEE Conference on Decision and Control (CDC).

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

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

[12]  Yong-gi Kim,et al.  Calculation of regenerative energy in DC 1500V electric railway substations , 2007, 2007 7th Internatonal Conference on Power Electronics.

[13]  Steven X. Ding,et al.  Actuator fault robust estimation and fault-tolerant control for a class of nonlinear descriptor systems , 2007, Autom..

[14]  S. Spurgeon,et al.  On the Solvability of the Constrained Lyapunov Problem , 2006, IEEE Transactions on Automatic Control.

[15]  Suresh M. Joshi,et al.  Identifiability of Additive, Time-Varying Actuator and Sensor Faults by State Augmentation , 2014 .

[16]  Morris Brenna,et al.  Analysis of the Filters Installed in the Interconnection Points Between Different Railway Supply Systems , 2012, IEEE Transactions on Smart Grid.

[17]  Guang-Hong Yang,et al.  Reliable $H_{\infty}$ Control of Linear Systems With Adaptive Mechanism , 2010, IEEE Transactions on Automatic Control.

[18]  Boris T. Polyak,et al.  Rejection of bounded exogenous disturbances by the method of invariant ellipsoids , 2007 .

[19]  Christopher Edwards,et al.  Sliding mode observers for robust detection and reconstruction of actuator and sensor faults , 2003 .

[20]  Christopher Edwards,et al.  Sliding mode observers for detection and reconstruction of sensor faults , 2002, Autom..

[21]  Riccardo Marino,et al.  Output regulation for linear systems via adaptive internal model , 2003, IEEE Trans. Autom. Control..

[22]  Sarah K. Spurgeon,et al.  Sliding mode observers for fault detection and isolation , 2000, Autom..

[23]  Youmin Zhang,et al.  Bibliographical review on reconfigurable fault-tolerant control systems , 2003, Annu. Rev. Control..

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

[25]  C. Byrnes.  Output Regulation of Uncertain Nonlinear Systems , 1997 .

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

[27]  Alexander S. Poznyak,et al.  Invariant ellipsoid method for minimization of unmatched disturbances effects in sliding mode control , 2011, Autom..

[28]  Marios M. Polycarpou,et al.  Incipient fault diagnosis of dynamical systems using online approximators , 1998 .

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

[30]  I. Slama-Belkhodja,et al.  State Observer-Based Sensor Fault Detection and Isolation, and Fault Tolerant Control of a Single-Phase PWM Rectifier for Electric Railway Traction , 2013, IEEE Transactions on Power Electronics.

[31]  Gang Tao,et al.  Relative Degrees and Adaptive Feedback Linearization Control of T–S Fuzzy Systems , 2015, IEEE Transactions on Fuzzy Systems.