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http://dx.doi.org/10.5139/JKSAS.2005.33.3.039

Study on Adaptive Higher Harmonic Control Using Neural Networks  

Park, Bum-Jin (충남대학교 항공우주공학과 대학원)
Park, Hyun-Jun (충남대학교 항공우주공학과 대학원)
Hong, Chang-Ho (충남대학교 항공우주공학과)
Publication Information
Journal of the Korean Society for Aeronautical & Space Sciences / v.33, no.3, 2005 , pp. 39-46 More about this Journal
Abstract
In this paper, adaptive higher harmonic control technique using Neural Networks (NN) is proposed. First, linear transfer function is estimated to relate the input harmonics and output harmonics, then NN which has the universal function approximation property is applied to expand application range of the transfer function. Optimal control gain matrix computed from the transfer function is used to train NN weights. Online weight adaptation laws are derived from Lyapunov's direct method to guarantee internal stability. Results of the simulation of 6-input 2-output nonlinear system show that adaptive HHC is applicable to the system with uncertain transfer function.
Keywords
Higher Harmonic Control; Hub Loads; Neural Networks; Tiltrotor Aircraft;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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