Please use this identifier to cite or link to this item: https://doi.org/10.1049/iet-cta.2009.0478
Title: Robust attitude control of helicopters with actuator dynamics using neural networks
Authors: Chen, M. 
Ge, S.S. 
Ren, B. 
Issue Date: Dec-2010
Source: Chen, M., Ge, S.S., Ren, B. (2010-12). Robust attitude control of helicopters with actuator dynamics using neural networks. IET Control Theory and Applications 4 (12) : 2837-2854. ScholarBank@NUS Repository. https://doi.org/10.1049/iet-cta.2009.0478
Abstract: In this study, attitude control is proposed for helicopters with actuator dynamics. For the nominal helicopter dynamics, model-based control is firstly presented to keep the desired helicopter attitude. To handle the model uncertainty and the external disturbance, radial basis function neural networks are adopted in the attitude control design. Using neural network approximation and the backstepping technique, robust attitude control is proposed with full state feedback. Considering unknown moment coefficients and the mass of helicopters, approximation-based attitude control is developed for the helicopter dynamics. In all proposed attitude control techniques, multi-input and multi-output non-linear dynamics are considered and the stability of the closed-loop system is proved via rigorous Lyapunov analysis. Extensive numerical simulation studies are given to illustrate the effectiveness of the proposed attitude control. © 2010 The Institution of Engineering and Technology.
Source Title: IET Control Theory and Applications
URI: http://scholarbank.nus.edu.sg/handle/10635/57292
ISSN: 17518644
DOI: 10.1049/iet-cta.2009.0478
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