Adaptive neural strategies for the interactive tracking flight of two aerial vehicles
Valderrábano González, Antonio
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In this paper an adaptive algorithm for the interactive flight of two aerial vehicles (Quadrotor) is introduced. The proposed scheme allows to a vehicle (follower) to track another (leader), without knowledge of the planned references for the secondly mentioned. The use of adaptive control parameters enhances the closed loop dynamic responses of the Quadrotor vehicles. Adaptive learning and adjusting for the tracking of the online computed references for the follower vehicle is achieved using Neural Networks of the B-spline type. Numeric simulations are presented showing the effectiveness of the proposed approach to deal with the task of tracking.