Robust Adaptive Neural Network Control of Aircraft Braking System

被引：0

作者：

Chen, Bihua ^{[1
]}

Jiao, Zongxia ^{[1
]}

Ge, Shuzhi Sam ^{[2
]}

Wang, Chengwen ^{[1
]}

机构：

[1] Beihang Univ, Sci & Technol Aircraft Control Lab, Beijing 100191, Peoples R China

[2] Natl Univ Singapore, Dept Elect & Comp Engn, Singapore 117576, Singapore

来源：

2012 10TH IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL INFORMATICS (INDIN) | 2012年

关键词：

NONLINEAR-SYSTEMS; INPUT CONSTRAINTS; SLIP CONTROL;

D O I：

暂无

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：740 / 745

页数：6

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