A DYNAMIC DECOUPLING METHOD FOR CONTROLLING HIGH PERFORMANCE TURBOFAN ENGINES

Abstract A new dynamic decoupling method is proposed for controlling complex uncertain systems. Where mathematical modeling is often tedious or inaccurate, the new method uses an unknown input observer (UIO) to estimate and cancel dynamic information in real time. Consequently, controller design and tuning become transparent as the number of required model parameters is reduced. A realistic turbofan simulation, developed by NASA, is used to demonstrate the new design process and compare its performance with that of a supplied benchmark controller.

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