电子电气工程与控制

民机四维航迹/姿态一体化自适应控制

  • 樊垚 ,
  • 邵兴悦 ,
  • 李清东 ,
  • 任章
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  • 1. 中国船舶工业系统工程研究院 信息系统研究所, 北京 100094;
    2. 北京机电工程总体设计部, 北京 100854;
    3. 北京航空航天大学 自动化科学与电气工程学院, 北京 100083

网络出版日期: 2019-03-02

基金资助

国家自然科学基金(61503009,61333011,61421063);航空科学基金(2016ZA51005);上海民用飞机健康监控工程技术研究中心基金(SAST2016003)

Integrated 4D trajectory and attitude adaptive controller for civil aircraft

  • FAN Yao ,
  • SHAO Xingyue ,
  • LI Qingdong ,
  • REN Zhang
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  • 1. Information System Research Department, System Engineering Research Institute, Beijing 100094, China;
    2. Beijing System Design Institute of Electro-Mechanic, Beijing 100854, China;
    3. School of Automation Science and Electrical Engineering, Beihang University, Beijing 100083, China

Online published: 2019-03-02

Supported by

National Natural Science Foundation of China (61503009, 61333011 and 61421063); Aeronautical Science Foundation of China(2016ZA51005); Fund of Shanghai Engineering Research Center of Civil Aircraft Health Monitoring(SAST2016003)

摘要

出于运营效率和飞行安全的考虑,民用飞机在航路终端区需有效减少飞行总系统误差(TSE),提高空域资源利用率。在此航段中,飞行技术误差(FTE)是最主要的组成部分,需采用引导控制一体化的设计思想,实现民机起飞/着陆段四维航迹精确跟踪,有效减小飞行技术误差。基于回路传递函数恢复(LTR)技术协调设计随机线性系统状态观测器和最优控制器,解决大气紊流作用下的民机飞行控制系统设计问题。在此基础上,引入自适应投影算子估计大气扰动导致的气动参数不确定性,并对其作用效果进行补偿。仿真结果表明,基于LQG/LTR(Linear Quadratic Gaussian/Loop Transfer Recovery)控制技术的自适应飞行控制律可以有效抑制气动参数不确定性影响,能够实现民机四维航迹/姿态一体化高精度控制的目标。

本文引用格式

樊垚 , 邵兴悦 , 李清东 , 任章 . 民机四维航迹/姿态一体化自适应控制[J]. 航空学报, 2019 , 40(2) : 522437 -522437 . DOI: 10.7527/S1000-6893.2019.22437

Abstract

Considering operating efficiency and flight safety, it is necessary to reduce the Total System Error (TSE) to improve the airspace resource utilization in the terminal area of the air route. During this route segment, Flight Technology Error (FTE) is the main composition. By proposing guidance and control integration design according to accurate tracking problem of four-dimensional trajectory during take-off and landing stage to reduce the flight technology error effectively. Considering the atmosphere turbulence, Loop Transfer Recovery (LTR) has been used to design state observer and optimal control and has realized the flight controller of civil aircraft. Based on that, the adaptive projection operator has been used to estimate the aerodynamic parameter uncertainties in inhomogeneous wind field and the uncertainties have been compensated. Numerical simulations demonstrate that the adaptive controller based on Linear Quadratic Gaussian/Loop Transfer Recovery (LQG/LTR) control technology can restrain the effect caused by uncertainty of aerodynamic parameters and atmospheric turbulence, and an integration controller of four-dimensional trajectory and attitudes for civil aircraft has been achieved.

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