Abstract
Fault diagnosis in a closed-loop gas turbine engine control system poses a great challenge since that the involved controller is to keep system stability, which desensitizes fault diagnostic performance. In this paper, a design algorithm that integrates various feedback controllers and unknown input observer (UIO) has been proposed. In this method, the controller has been considered as the state of an augmented model by combining the controller and the gas turbine model. Then the UIOs for fault detecting and isolating has been designed for this augmented model to obtain the parameters of the concerned controller and UIOs simultaneously. Moreover, this integrated design process has been formulated as linear matrix inequalities (LMIs). One notable feature of this algorithm is that the integrated design can weaken the effect of a feedback controller on output residual generator and maximize the robustness of UIO against unknown disturbances. Experimental results on a gas turbine engine illustrate the effectiveness and applicability of the proposed algorithm.
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