Adaptive fuzzy dynamic sliding mode control based LTR observer for fault reconstruction

This paper describes fault reconstruction issue for single input linear systems with uncertainty, using adaptive fuzzy dynamic sliding mode control (AFDSMC). The adaptive fuzzy control is used to access the control signal of dynamic sliding mode control and the adaptive law is derived. In AFDSMC sliding surface is used as the basis for reconstruction the fault signals. In AFDSMC an integrator is placed in front of the system to be controlled and the augmented system (the system plus the integrator) is one dimension bigger than the actual system and then, the plant model should be completely known. To overcome on this difficulty, an optimal loop transfer recovery observer (LTRO) is used. Comparing this method to other fault reconstruction methods, the advantage of the proposed method is to have the system controlled as well as its main task i.e. fault reconstruction.