Fault-Tolerant Control for an Internet-Based Three-Tank System: Accommodation to Sensor Bias Faults

This paper focuses on the fault-tolerant control problem for an Internet-based three-tank system in the presence of possible sensor bias faults. The Internet-based three-tank system is an experimental setup that can be regarded as a typical networked system for evaluating networked fault-diagnosis and fault-tolerant control methods. Packet dropout phenomenon in the sensor-to-controller link is considered in this paper, and the fault type we deal with is chosen as the sensor bias fault. Fault-diagnosis unit is designed toward an auxiliary system. Sensor bias faults can be detected by comparing the residual signal generated by the fault detection filter and a prescribed threshold. After that, the fault can be isolated by using the residual analysis approach. Once the fault is isolated, it can be estimated iteratively in the least-squares sense. A fault accommodation method is proposed, and a fault-tolerant control strategy is achieved based on the fault information provided by the fault-diagnosis unit. The approach brought forward in this paper is demonstrated via an experimental study on the practical Internet-based three-tank system. Results show the effectiveness and the applicability of the proposed techniques.

[1]  Donghua Zhou,et al.  Networked fault detection with random communication delays and packet losses , 2008, Int. J. Syst. Sci..

[2]  Peng Shi,et al.  Robust NSV Fault-Tolerant Control System Design Against Actuator Faults and Control Surface Damage Under Actuator Dynamics , 2015, IEEE Transactions on Industrial Electronics.

[3]  Dong Yue,et al.  To Transmit or Not to Transmit: A Discrete Event-Triggered Communication Scheme for Networked Takagi–Sugeno Fuzzy Systems , 2013, IEEE Transactions on Fuzzy Systems.

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

[5]  Donghua Zhou,et al.  A New Real-Time Reliability Prediction Method for Dynamic Systems Based on On-Line Fault Prediction , 2009, IEEE Transactions on Reliability.

[6]  Wen-an Zhang,et al.  Moving Horizon Estimation for Networked Systems With Quantized Measurements and Packet Dropouts , 2013, IEEE Transactions on Circuits and Systems I: Regular Papers.

[7]  Fei Liu,et al.  Fault Detection and Diagnosis of Multiple-Model Systems With Mismodeled Transition Probabilities , 2015, IEEE Transactions on Industrial Electronics.

[8]  Huaguang Zhang,et al.  Robust fault tolerant control for a class of networked control systems with state delay and stochastic actuator failures , 2014 .

[9]  Donghua Zhou,et al.  Robust fault detection for networked systems with communication delay and data missing , 2009, Autom..

[10]  Dong Yue,et al.  A Delay System Method for Designing Event-Triggered Controllers of Networked Control Systems , 2013, IEEE Transactions on Automatic Control.

[11]  Mo-Yuen Chow,et al.  EDA-Based Speed Control of a Networked DC Motor System With Time Delays and Packet Losses , 2009, IEEE Transactions on Industrial Electronics.

[12]  Qing-Long Han,et al.  Distributed H ∞ filtering over sensor networks with heterogeneous Markovian coupling intercommunication delays , 2015 .

[13]  Marios M. Polycarpou,et al.  A Coordinated Communication Scheme for Distributed Fault Tolerant Control , 2013, IEEE Transactions on Industrial Informatics.

[14]  P. Frank,et al.  Survey of robust residual generation and evaluation methods in observer-based fault detection systems , 1997 .

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

[16]  Yang Liu,et al.  Least-Squares Fault Detection and Diagnosis for Networked Sensing Systems Using A Direct State Estimation Approach , 2013, IEEE Transactions on Industrial Informatics.

[17]  D. Sauter,et al.  Output-feedback H∞ control of a class of networked fault tolerant control systems , 2007, 2007 Mediterranean Conference on Control & Automation.

[18]  Huajing Fang,et al.  Integrated fault-tolerant control methodology for non-linear dynamical networked control systems subject to time-varying delay , 2014 .

[19]  Arun T. Vemuri,et al.  Sensor bias fault diagnosis in a class of nonlinear systems , 2001, IEEE Trans. Autom. Control..

[20]  S. Aberkane,et al.  Output‐feedback ℋ︁2/ℋ︁∞ control of a class of networked fault tolerant control systems , 2008 .

[21]  X. Mao,et al.  Stochastic Differential Equations and Applications , 1998 .

[22]  Zehui Mao,et al.  Observer based fault-tolerant control for a class of nonlinear networked control systems , 2010, J. Frankl. Inst..

[23]  Dimos V. Dimarogonas,et al.  Event-triggered control for discrete-time systems , 2010, Proceedings of the 2010 American Control Conference.

[24]  Ji Huang,et al.  Robust Tracking Control of Networked Control Systems: Application to a Networked DC Motor , 2013, IEEE Transactions on Industrial Electronics.

[25]  Wei Zhang,et al.  Stability of networked control systems , 2001 .

[26]  Guanghui Wen,et al.  ${\cal H}_{\infty}$ Pinning Synchronization of Directed Networks With Aperiodic Sampled-Data Communications , 2014, IEEE Transactions on Circuits and Systems I: Regular Papers.

[27]  Huijun Gao,et al.  Data-Based Techniques Focused on Modern Industry: An Overview , 2015, IEEE Transactions on Industrial Electronics.

[28]  Donghua Zhou,et al.  Output Tracking Control for Networked Systems: A Model-Based Prediction Approach , 2014, IEEE Transactions on Industrial Electronics.

[29]  Donghua Zhou,et al.  Active Fault-Tolerant Control for an Internet-Based Networked Three-Tank System , 2016, IEEE Transactions on Control Systems Technology.

[30]  Qing-Long Han,et al.  H∞ control for networked systems with multiple packet dropouts , 2013, Inf. Sci..

[31]  Marios M. Polycarpou,et al.  Sensor bias fault isolation in a class of nonlinear systems , 2005, IEEE Transactions on Automatic Control.

[32]  Guoliang Wei,et al.  Reliable H∞ state estimation for 2-D discrete systems with infinite distributed delays and incomplete observations , 2015, Int. J. Gen. Syst..

[33]  Linda Bushnell,et al.  Stability analysis of networked control systems , 1999, Proceedings of the 1999 American Control Conference (Cat. No. 99CH36251).

[34]  Shusen Yang,et al.  Distributed Real-Time Anomaly Detection in Networked Industrial Sensing Systems , 2015, IEEE Transactions on Industrial Electronics.

[35]  Donghua Zhou,et al.  Leakage Fault Diagnosis for an Internet-Based Three-Tank System: An Experimental Study , 2012, IEEE Transactions on Control Systems Technology.

[36]  A. Niederlinski.  A heuristic approach to the design of linear multivariable interacting control systems , 1971 .

[37]  Xiaofeng Wang,et al.  Networked Strong Tracking Filtering with Multiple Packet Dropouts: Algorithms and Applications , 2014, IEEE Transactions on Industrial Electronics.