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Published in:
2012 | OriginalPaper | Chapter
Neuro-aided H2 Controller Design for Aircraft under Actuator Failure
Authors : Zhifeng Wang, Guangcai Xiong
Published in: Proceedings of the 2011 2nd International Congress on Computer Applications and Computational Science
Publisher: Springer Berlin Heidelberg
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To advocate the development of new robust and reliable controllers, it has been defined a benchmark problem, where robust controllers are required for controlling a 6-Degree of Freedom (6-DOF) nonlinear F16 aircraft in auto-landing phase undergoing actuator failures. This paper attempt to provide a solution by developing a robust Neural Network (Neuro) aided H
2
controller. Simulation results show that the fault tolerant performance of the proposed Neuro-aided H
2
controller is better than H
2
controller under actuator failure condition, both the number of hidden neurons and the time of on-line learning are small enough to be used in engineer problems.