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http://dx.doi.org/10.5302/J.ICROS.2005.11.3.233

Tiltrotor Aircraft SCAS Design Using Neural Networks  

Han, Kwang-Ho (한국항공우주산업)
Kim, Boo-Min (경상대학교 항공공학과)
Kim, Byoung-Soo (경상대학교 기계항공공학부 항공기 부품기술연구소)
Publication Information
Journal of Institute of Control, Robotics and Systems / v.11, no.3, 2005 , pp. 233-239 More about this Journal
Abstract
This paper presents the design and evaluation of a tiltrotor attitude controller. The implemented response type of the command augumentation system is Attitude Command Attitude Hold. The controller architecture can alleviate the need for extensive gain scheduling and thus has the potential to reduce development time. The control algorithm is constructed using the feedback linearization technique. And an on-line adaptive architecture that employs a neural network compensating the model inversion error caused by the deficiency of full knowledge tiltrotor aircraft dynamics is applied to augment the attitude control system. The use of Lyapunov stability analysis guarantees boundedness of the tracking error and network parameters. The performance of the controller is evaluated against ADS-33E criteria, using the nonlinear tiltrotor simulation code for Bell TR301 developed by KARI. (Korea Aerospace Research Institute)
Keywords
model inversion; neural network; flying quality; stability and control augumentation system(SCAS);
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