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In this paper, an FTC strategy using Linear Parameter Varying (LPV) virtual sensors is proposed and applied to the IFAC wind turbine case study. The novelty of the proposed strategy consists in that virtual sensors are applied to the FTC problem in a new original fashion. Instead of hiding the fault, the virtual sensors are used to expand the set of available sensors. Then, the state observer is designed using LPV techniques based on Linear Matrix Inequalities (LMIs) taking into account a varying parameter that is introduced in order to select which sensors are used by the observer among the physical and the virtual ones. In this sense, the proposed approach can be considered as a multisensor fusion strategy that integrates data provided by various sensors in order to obtain a better estimation.
CitationRotondo, D. [et al.]. FTC of LPV systems using a bank of visual sensors: application to wind turbines. A: Conference on Control and Fault-Tolerant Systems. "Proceedings SYSTOL'13. 2nd International Conference on Control and Fault-Tolerant Systems". 2013 ed. Niça: IEEE, 2013, p. 492-497.
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