Abstract
This project is concerned with the development of novel techniques for fault detection and diagnosis in dynamic systems, as well as control techniques aimed at mitigating the effects of such events. The proposed investigation will contribute towards the improvement of reliability, safety and availability issues, especially regarding the operation of critical systems. In the context of fault detection and diagnosis, the research will concern stochastic filtering algorithms, signal processing techniques employing the wavelet transform, and intelligent systems. The problem of fault-tolerant control will be addressed by means of the synthesis of robust controllers employing linear matrix inequalities, interval analysis, sliding modes, and the TFL/LTR method (Target Feedback Loop / Loop Transfer Recovery). Within this scope, the design of controllers with commutation will also be exploited for the purpose of obtaining greater flexibility in the case of plants subject to faults. Moreover, model-based predictive control techniques will be investigated to address problems involving constraints on state or control variables. In addition to theoretical advancements of general interest, specific contributions will be pursued in the fields of electric motors, power systems, mobile robotics and network systems. The results will be evaluated by means of simulations, as well as laboratory experiments. This project will be a follow-up to the Thematic Project "Diagnosis, Prognosis and Accommodation of Faults in Dynamic Systems" (grant 06/58850-6), which was concluded in April 2011. (AU)
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