Leakage Fault Diagnosis for an Internet-Based Three-Tank System: An Experimental Study

This paper investigates the leakage fault diagnosis problem for a physical Internet-based three-tank system (ITTS). Data from different devices locating at different places communicate with each other via Internet and, due to the limited bandwidth of communication channel, data suffer from delay and/or dropout phenomenon during the transmission. The resulting incomplete signals are utilized for the control and diagnosis purpose, giving rise to a networked control system (NCS). After linearization and discretization of the mathematical model of the three-tank system (TTS), the original nonlinear fault diagnosis problem is converted into a robust leakage fault detection and isolation problem for a linear system with uncertain parameters. The detection problem is then solved by using the robust H_ filter technique and the leakage faults of different tanks are isolated by using the idea of residual contributing degree (RCD). Experimental results are provided to show the effectiveness and applicability of the proposed techniques.

[1]  Xinping Guan,et al.  Guaranteed cost active fault-tolerant control of networked control system with packet dropout and transmission delay , 2010, Int. J. Autom. Comput..

[2]  David Henry,et al.  Norm-based design of robust FDI schemes for uncertain systems under feedback control: Comparison of two approaches , 2006 .

[3]  Long Wang,et al.  Robust fault detection with missing measurements , 2008, Int. J. Control.

[4]  Torsten Jeinsch,et al.  A unified approach to the optimization of fault detection systems , 2000 .

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

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

[7]  Fuwen Yang,et al.  Robust H/sub /spl infin// filtering for stochastic time-delay systems with missing measurements , 2006, IEEE Transactions on Signal Processing.

[8]  Huijun Gao,et al.  A delay-dependent approach to robust H∞ filtering for uncertain discrete-time state-delayed systems , 2004, IEEE Trans. Signal Process..

[9]  Yuanqing Xia,et al.  Design and Practical Implementation of Internet-Based Predictive Control of a Servo System , 2008, IEEE Transactions on Control Systems Technology.

[10]  Stephen P. Boyd,et al.  Linear Matrix Inequalities in Systems and Control Theory , 1994 .

[11]  Johan Nilsson,et al.  Real-Time Control Systems with Delays , 1998 .

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

[13]  Chengwei Dai,et al.  Remote Maintenance of Control System Performance over the Internet , 2007 .

[14]  Daniel W. C. Ho,et al.  Variance-constrained filtering for uncertain stochastic systems with missing measurements , 2003, IEEE Trans. Autom. Control..

[15]  Guoping Liu,et al.  Structure Design and Application of Embedded Ethernet Based Control Systems , 2007, 2007 IEEE International Conference on Networking, Sensing and Control.

[16]  Shuang-Hua Yang,et al.  Design issues and implementation of internet-based process control systems , 2003 .

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

[18]  Donghua Zhou,et al.  Strong tracking filter based adaptive generic model control , 1999 .

[19]  Yuanqing Xia,et al.  Networked Predictive Control of Systems With Random Network Delays in Both Forward and Feedback Channels , 2007, IEEE Transactions on Industrial Electronics.

[20]  Steven X. Ding,et al.  Influence of Sampling Period on a Class of Optimal Fault-Detection Performance , 2009, IEEE Transactions on Automatic Control.

[21]  Tongwen Chen,et al.  Optimal ${\cal H}_{2}$ Filtering in Networked Control Systems With Multiple Packet Dropout , 2007, IEEE Transactions on Automatic Control.

[22]  Feng-Li Lian,et al.  Network design consideration for distributed control systems , 2002, IEEE Trans. Control. Syst. Technol..

[23]  Fuwen Yang,et al.  Robust H-infinity filtering for stochastic time-delay systems with missing measurements , 2006 .

[24]  Ron J. Patton,et al.  Observing a three-tank system , 2005, IEEE Transactions on Control Systems Technology.

[25]  Donghua Zhou,et al.  Network‐based robust fault detection with incomplete measurements , 2009 .

[26]  Hao Ye,et al.  Fault diagnosis of networked control systems , 2007, Annu. Rev. Control..

[27]  Christophe Aubrun,et al.  Robust fault diagnosis of networked control systems , 2009 .

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

[29]  Guo-Ping Liu,et al.  Design of a Packet-Based Control Framework for Networked Control Systems , 2009, IEEE Transactions on Control Systems Technology.

[30]  Donghua Zhou,et al.  Fault detection of linear discrete-time periodic systems , 2005, IEEE Transactions on Automatic Control.

[31]  Yongqiang Wang,et al.  Residual generation and evaluation of networked control systems subject to random packet dropout , 2009, Autom..

[32]  Zehui Mao,et al.  Protocol and Fault Detection Design for Nonlinear Networked Control Systems , 2009, IEEE Trans. Circuits Syst. II Express Briefs.

[33]  Dong Yue,et al.  Network-based robust H ∞ control of systemswith uncertainty , 2005 .

[34]  Stephen P. Boyd,et al.  Future directions in control in an information-rich world , 2003 .

[35]  James Lam,et al.  A new delay system approach to network-based control , 2008, Autom..

[36]  Min Wu,et al.  Robust fuzzy tracking control for nonlinear networked control systems with integral quadratic constraints , 2010, Int. J. Autom. Comput..

[37]  Y. Tipsuwan,et al.  Control methodologies in networked control systems , 2003 .

[38]  Fuwen Yang,et al.  H∞ control for networked systems with random communication delays , 2006, IEEE Trans. Autom. Control..