Abstract
A control problem is discussed for unmanned aerial vehicle (UAV) as applies to its short-period longitudinal motion. The problem is formulated taking into account various uncertainty factors such as imperfect knowledge about UAV parameters and characteristics as well as environment exposure. One more class of the uncertainty factors includes failures of UAV systems and its structural damages. A preliminary step is needed to synthesize adaptive damage-tolerant control systems. This step consists in plant identification using artificial neural network (ANN) techniques. Next step is a synthesis of appropriate neural controller. An adaptive control scheme based on inverse dynamics problem (IDP) approach is used to achieve control goals for the conditions mentioned above. The scheme is implemented basing on ANN tools. Simulation is carried out to confirm efficiency of the adaptive damage-tolerant neural control. Appropriate computer experiment results are presented and discussed to demonstrate features of the proposed approach.
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