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UAS Automatic Control Parameter Tuning System using Machine Learning Module  

Moon, Mi-Sun (한국항공대학교 컴퓨터공학과)
Song, Kang (한국항공대학교 컴퓨터공학과)
Song, Dong-Ho (한국항공대학교 컴퓨터공학과)
Publication Information
Journal of Advanced Navigation Technology / v.14, no.6, 2010 , pp. 874-881 More about this Journal
Abstract
A automatic flight control system(AFCS) of UAS needs to control its flight path along target path exactly as adjusts flight coefficient itself depending on static or dynamic changes of airplane's features such as type, size or weight. In this paper, we propose system which tunes control gain autonomously depending on change of airplane's feature in flight as adding MLM(Machine Learning Module) on AFCS. MLM is designed with Linear Regression algorithm and Reinforcement Learning and it includes EvM(Evaluation Module) which evaluates learned control gain from MLM and verified system. This system is tested on beaver FDC simulator and we present its analysed result.
Keywords
automatic control gain tuning; machine learning; numeric prediction;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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