Switching fault tolerant control design via global dissipativity

This article addresses the issue of fault tolerant control (FTC) from energy point of view for general impulsive systems with faults ranging over a finite cover. The dissipativity theory is introduced into the design of fault detection and a unique scheme that simultaneously performs fault isolation and FTC. The proposed framework relies on a simple dissipativity-based switching among a family of pre-computed candidate controllers without any additional model or filter. The states are ensured to be bounded during the switching delay. A RLC circuit example illustrates the efficiency of the proposed method.

[1]  Bin Jiang,et al.  Fault tolerance analysis for stochastic systems using switching diffusion processes , 2009, Int. J. Control.

[2]  M. Branicky.  Multiple Lyapunov functions and other analysis tools for switched and hybrid systems , 1998, IEEE Trans. Autom. Control..

[3]  Huijun Gao,et al.  Passivity and Passification for Networked Control Systems , 2007, SIAM J. Control. Optim..

[4]  Jovan D. Boskovic,et al.  Stable multiple model adaptive flight control for accommodation of a large class of control effector failures , 1999, Proceedings of the 1999 American Control Conference (Cat. No. 99CH36251).

[5]  M. Staroswiecki,et al.  Observer-based fault-tolerant control for a class of switched nonlinear systems , 2007 .

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

[7]  Jun Zhao,et al.  Dissipativity Theory for Switched Systems , 2005, Proceedings of the 44th IEEE Conference on Decision and Control.

[8]  Sing Kiong Nguang,et al.  Robust disturbance attenuation for discrete‐time active fault tolerant control systems with uncertainties , 2003 .

[9]  Romeo Ortega,et al.  Putting energy back in control , 2001 .

[10]  P. S. Bauer.  Dissipative Dynamical Systems: I. , 1931, Proceedings of the National Academy of Sciences of the United States of America.

[11]  Bin Jiang,et al.  A fault tolerant control framework for periodic switched non-linear systems , 2009, Int. J. Control.

[12]  Jun Zhao,et al.  Passivity and stability of switched systems: A multiple storage function method , 2008, Syst. Control. Lett..

[13]  Marcel Staroswiecki,et al.  H ∞ fault detection filter design for linear discrete-time systems with multiple time delays , 2003, Int. J. Syst. Sci..

[14]  Marios M. Polycarpou,et al.  Design and analysis of a fault isolation scheme for a class of uncertain nonlinear systems , 2008, Annu. Rev. Control..

[15]  Chen Weidong,et al.  Fuzzy Adaptive Fault Tolerant Sliding Mode Control for SISO Nonlinear Systems , 2007, Second International Conference on Innovative Computing, Informatio and Control (ICICIC 2007).

[16]  Donghua Zhou,et al.  Robust state estimation and fault diagnosis for uncertain hybrid nonlinear systems , 2007 .

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

[18]  Janos Gertler,et al.  Fault detection and diagnosis in engineering systems , 1998 .

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

[20]  Youmin Zhang,et al.  Integrated active fault-tolerant control using IMM approach , 2001 .

[21]  Michel Kinnaert,et al.  Diagnosis and Fault-Tolerant Control , 2006 .

[22]  A. Isidori,et al.  Passivity, feedback equivalence, and the global stabilization of minimum phase nonlinear systems , 1991 .

[23]  Huijun Gao,et al.  Robust H∞ filtering for switched linear discrete‐time systems with polytopic uncertainties , 2006 .

[24]  C. Wen,et al.  Switched and Impulsive Systems: Analysis, Design, and Applications , 2005, IEEE Transactions on Automatic Control.

[25]  Christopher Edwards,et al.  Robust sliding mode observer-based actuator fault detection and isolation for a class of nonlinear systems , 2005, Proceedings of the 44th IEEE Conference on Decision and Control.