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http://dx.doi.org/10.5139/JKSAS.2003.31.3.050

A Study on Helicopter Trajectory Tracking Control using Neural Networks  

Kim, Yeong Il (한국항공우주산업(주))
Lee, Sang Cheol (한국항공우주산업(주))
Kim, Byeong Su (경상대학교)
Publication Information
Journal of the Korean Society for Aeronautical & Space Sciences / v.31, no.3, 2003 , pp. 50-57 More about this Journal
Abstract
In the paper, the design and evaluation of a helicopter trajectory tracking controller are presented. The control algorithm is implemented using the feedback linearization technique and the two time-scale separation architecture. In addition, and on-line adaptive architecture that employs a neural network compensating the model inversion error caused by the deficiency of full knowledge of helicopter dynamic is applied to augment the attitude control system. Trajectory tracking performance of the control system in evaluated using modified TMAN simulation program representing as Apache helicopter. It is show that the on-line neural network in an adaptive control architecture is very effective in dealing with the performance depreciation problem of the trajectory tracking control caused by insufficient information of dynamics.
Keywords
Helicopter; Flight Control; Neural Networks; Dynamic Model Inversion;
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