Robust Adaptive Neural Network Control of Aircraft Braking System
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 aircrafts, 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.
Bihua Chen Zongxia Jiao Shuzhi Sam Ge Chengwen Wang
Science and Technology onAircraft Control Laboratory,Beihang University,Beijing, 100191, China Department of Electrical& Computer Engineering,National University of Singapore,Singapore 117576 Science and Technology on Aircraft Control Laboratory, Beihang University, Beijing, 100191, China
国际会议
IEEE 10th International Conference on Industrial Informatics(第十届IEEE工业信息学国际学术会议 INDIN2012)
北京
英文
740-745
2012-07-25（万方平台首次上网日期，不代表论文的发表时间）