Fault accommodation using model predictive methods

In the paper we first present several failure models, and derive the model predictive control (MPC) algorithm for the no-failure case when the objective is to track the outputs of a reference model. Following that, the multiple model switching and tuning methodology, as applied in the context of failure detection and identification (FDI) and adaptive reconfigurable control, is presented and described in detail, and its stability and convergence properties are discussed. Multiple model predictive control (MMPC) approach is presented and the MMPC algorithm is derived for the case of lock-in-place control effector failures. Combining the online FDI system with the MPC approach results in an efficient MMPC algorithm that is well suited for different types of failures.

[1]  H. Michalska,et al.  Receding horizon control of nonlinear systems , 1988, Proceedings of the 28th IEEE Conference on Decision and Control,.

[2]  Meir Pachter,et al.  System identification for adaptive and reconfigurable control , 1995 .

[3]  Jovan D. Boskovic,et al.  A multiple model predictive scheme for fault-tolerant flight control design , 1998, Proceedings of the 37th IEEE Conference on Decision and Control (Cat. No.98CH36171).

[4]  Seungjae Lee,et al.  Direct adaptive reconfigurable control of a tailless fighter aircraft , 1998 .

[5]  D. Mayne,et al.  Robust receding horizon control of constrained nonlinear systems , 1993, IEEE Trans. Autom. Control..

[6]  J. Rawlings,et al.  The stability of constrained receding horizon control , 1993, IEEE Trans. Autom. Control..

[7]  Graham C. Goodwin,et al.  Adaptive filtering prediction and control , 1984 .

[8]  Carlos E. Garcia,et al.  Internal model control. A unifying review and some new results , 1982 .

[9]  Kumpati S. Narendra,et al.  Adaptive control using multiple models , 1997, IEEE Trans. Autom. Control..

[10]  R. Bodson,et al.  Multivariable adaptive algorithms for reconfigurable flight control , 1994, Proceedings of 1994 33rd IEEE Conference on Decision and Control.

[11]  Manfred Morari,et al.  Model predictive control: Theory and practice - A survey , 1989, Autom..

[12]  Riccardo Scattolini,et al.  Robustness of an adaptive predictive controller , 1994 .

[13]  R. Mehra,et al.  Multiple-Model Adaptive Flight Control Scheme for Accommodation of Actuator Failures , 2002 .

[14]  Raman K. Mehra,et al.  A Hybrid Fault-Tolerant Scheme for Flight Control Applications* , 2001 .

[15]  E. Zafiriou,et al.  Frequency domain design of robustly stable constrained model predictive controllers , 1994, Proceedings of 1994 American Control Conference - ACC '94.

[16]  B. W. Bequette,et al.  Computational issues in nonlinear predictive control , 1993 .

[17]  Masoud Soroush,et al.  Model Predictive Control of Multivariable Nonlinear Processes in Continuous-Time , 1993, 1993 American Control Conference.

[18]  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).

[19]  J. Richalet,et al.  Industrial applications of model based predictive control , 1993, Autom..

[20]  Kevin A. Wise,et al.  DIRECT ADAPTIVE RECONFIGURABLE FLIGHT CONTROL FOR A TAILLESS ADVANCED FIGHTER AIRCRAFT , 1999 .

[21]  Petros A. Ioannou,et al.  Accommodation of failures in the F-16 aircraft using adaptive control , 1991, IEEE Control Systems.

[22]  M. Morari,et al.  Constrained stabilization of discrete‐time systems , 1995 .

[23]  Jovan D. Boskovic,et al.  Intelligent Adaptive Control of a Tailless Advanced Fighter Aircraft Under Wing Damage , 2000 .

[24]  David Q. Mayne,et al.  Constrained model predictive control: Stability and optimality , 2000, Autom..