Reduction of sensors for forebody VFC using fuzzy logic based control
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Copyright 1998 by the American Institute of Aeronautics and Astronautics, Inc. All rights reserved. This paper investigates the minimum number of sensors required to adequately control a forebody vortex flow control system for the X-29A aircraft using fuzzy logic control. A previously designed fuzzy logic controller which used full state feedback consisting of side-slip angle, yaw rate, roll rate and bank angle sensors is modified to use only yaw rate and roll rate sensors. Results show that the fuzzy logic controller successfully controls the vortex flow control system with only two sensors while satisfying the design specifications. The performance is improved 12 % based on the cost function compared to the full state fuzzy logic controller for the particular condition investigated.
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Guidance, Navigation, and Control Conference and Exhibit