Predictive fault tolerant control for LPV systems using model reference
Document typeConference report
PublisherInternational Federation of Automatic Control (IFAC)
Rights accessOpen Access
The present work proposes a Fault Tolerant Control (FTC) methodology for non-linear discrete-time systems that can be modeled as Linear Parameter Varying (LPV) systems. The proposed approach relies on the modeling of faults as additional scheduling parameters of the LPV model for the controlled system and it uses a triple loop architecture. The inner control loop is designed by means of the standard H2/H1 control methodologies based on Linear Matrix Inequalities (LMIs). The design takes into account a prespecified set of faults and the ranges of their magnitudes that are wanted to be tolerated and it assumes the availability of on-line fault estimations provided by a Fault Detection and Isolation (FDI) module. The resulting controller tries to compensate the system faults in order to maintain a satisfactory closed-loop dynamic performance, but it does not take into account possible system input and state constraints associated to actuator saturation and other physical limitations. Thus, an intermediate control loop determines the actual compensation feasibility using set invariance theory. And, when it is needed, it applies suitable additive predictive control actions that enlarge the invariant set, trying to assure that the current state remains inside the enlarged invariant set. Finally, an outer loop implements a model reference control that allows reference tracking. The use of the proposed FTC methodology is illustrated through its application to the well-known quadruple tank system benchmark.
CitationAcevedo, J., Puig, V., Tornil-Sin, S., Witczak, M., Rotondo, D. Predictive fault tolerant control for LPV systems using model reference. A: 9th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes. París: International Federation of Automatic Control (IFAC) 2015, p. 1-6.