作者: Ali Kutay , Anthony Calise , Jonathan Muse
DOI: 10.2514/6.2006-6430
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摘要: This paper presents an adaptive control approach for pitch of a one degree-of- freedom wing using imbedded flow actuators. Such actuators offer unique opportunity rapid maneuvering and gust rejection with low power consumption. The proposed non-model based is motivated by the difficulty in constructing reasonably accurate physical model active In addition, during dynamic maneuvers, possible interactions between unsteady fluid dynamics vehicle introduce additional uncertainty. architecture employs neural network element that permits adaptation to both parametric uncertainty unmodeled dynamics. Wind tunnel experimental results controller implementation details are presented.