A Model Reference Tracking based on an Active Fault Tolerant Control for LPV Systems

Abstract : This work deals with the problem of a model reference tracking based on the design of an Active Fault Tolerant Control (AFTC) for linear parameter varying (LPV) systems affected by actuator faults and unknown inputs. LPV systems are described by a polytopic representation with measurable gain scheduling functions. The main contribution is to design an Active Fault Tolerant Controller whose control law is described by an adaptive Proportional Integral (PI) structure. This one requires three types of on-line informations which are: reference outputs, measured real outputs and the fault estimation provided respectively by a model reference, sensors and an Adaptive Polytopic Observer (APO). These informations are used to reconfigure the designed controller which is able to compensate the fault effects and to make the closed loop system able to track reference outputs in spite of the presence of actuator faults and disturbances. The controller and the observer gains are obtained by solving a set of linear matrices inequalities (LMIs). Performances of the proposed method are compared to an other previous method in order to underline the relevant results.
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International Journal of Adaptive Control and Signal Processing, Wiley, In press, 〈10.1002/acs.2871〉
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Bouali Rabaoui, Mickael Rodrigues, Habib Hamdi, Naceur Benhadjbraiek. A Model Reference Tracking based on an Active Fault Tolerant Control for LPV Systems. International Journal of Adaptive Control and Signal Processing, Wiley, In press, 〈10.1002/acs.2871〉. 〈hal-01744976〉

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