MRAC + H∞ Fault Tolerant Control for Linear Parameter Varying systems

Two different schemes for Fault Tolerant Control (FTC) based on Adaptive Control, Robust Control and Linear Parameter Varying (LPV) systems are proposed. These schemes include a Model Reference Adaptive Controller for an LPV system (MRAC-LPV) and a Model Reference Adaptive Controller with a H∞ Gain Scheduling Controller for an LPV system (MRAC-H∞ GS-LPV). In order to compare the performance of these schemes, a Coupled-Tank system was used as testbed in which two different types of faults (abrupt and gradual) with different magnitudes and different operating points were simulated. Results showed that the use of a Robust Controller in combination with an Adaptive Controller for an LPV system improves the FTC schemes because this controller was Fault Tolerant against sensor fault and had an accommodation threshold for actuator fault magnitudes from 0 to 6.

[1]  Michael A. Malcolm,et al.  Computer methods for mathematical computations , 1977 .

[2]  Y. Miyasato Model reference adaptive control of polytopic LPV systems ∼ An alternative approach to adaptive control ∼ , 2006, 2006 IEEE Conference on Computer Aided Control System Design, 2006 IEEE International Conference on Control Applications, 2006 IEEE International Symposium on Intelligent Control.

[3]  Abdelhamid Rabhi,et al.  Actuator Fault-tolerant control for vehicle dynamics , 2009 .

[4]  E. Rogers,et al.  Fault Tolerant Controller Design to Ensure Operational Safety in Satellite Formation Flying , 2006, Proceedings of the 45th IEEE Conference on Decision and Control.

[5]  Wen-Shyong Yu,et al.  Hinfinity Tracking-based adaptive fuzzy-neural control for MIMO uncertain robotic systems with time delays , 2004, Fuzzy Sets Syst..

[6]  Didier Theilliol,et al.  Fault Tolerant Control Design For Polytopic LPV Systems , 2007, Int. J. Appl. Math. Comput. Sci..

[7]  Vikram Kapila,et al.  Experimental validation of a nonlinear backstepping liquid level controller for a state coupled two tank system , 2005 .

[8]  Ali Abdullah,et al.  Model reference control of LPV systems , 2009, J. Frankl. Inst..

[9]  Marcin Witczak,et al.  Development of a Fault-Tolerant Control with MATLAB and its application to the Twin-Rotor System , 2009 .

[10]  Zeungnam Bien,et al.  Fault tolerant control using a redundant adaptive controller , 1990, 29th IEEE Conference on Decision and Control.

[11]  L. Giarre,et al.  LPV models: Identification for gain scheduling control , 2001, 2001 European Control Conference (ECC).

[12]  M. S. Ahmed Neural net based MRAC for a class of nonlinear plants , 2000, Neural Networks.

[13]  G. Balas,et al.  Development of linear-parameter-varying models for aircraft , 2004 .