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|Title:||Robust adaptive neural network control of aircraft braking system||Authors:||Chen, B.
|Issue Date:||2012||Citation:||Chen, B.,Jiao, Z.,Ge, S.S.,Wang, C. (2012). Robust adaptive neural network control of aircraft braking system. IEEE International Conference on Industrial Informatics (INDIN) : 740-745. ScholarBank@NUS Repository. https://doi.org/10.1109/INDIN.2012.6301235||Abstract:||This paper addresses the nonlinear robust braking control of aircraft. We consider the unknown aerodynamic forces and moments which will degrade the brake performance significantly. Moreover, for the transport or commercial air-crafts, weight variation will influence the braking control torque calculation. In this paper, robust adaptive control is proposed for aircraft braking system. By integrating a neural network (NN) estimator to approximate unknown aerodynamic forces and moments, the proposed control can effectively suppress the aerodynamic uncertainties and weight variation. The brake torque input constraint is also discussed in this paper. Simulation results clearly demonstrate the advantages and effectiveness of the proposed method. © 2012 IEEE.||Source Title:||IEEE International Conference on Industrial Informatics (INDIN)||URI:||http://scholarbank.nus.edu.sg/handle/10635/71655||ISBN:||9781467303118||ISSN:||19354576||DOI:||10.1109/INDIN.2012.6301235|
|Appears in Collections:||Staff Publications|
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