流体力学与飞行力学

基于鲁棒伺服LQR的结冰飞机纵向控制律重构方法

  • 陈威 ,
  • 徐浩军 ,
  • 王小龙 ,
  • 裴彬彬 ,
  • 李哲
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  • 空军工程大学 航空航天工程学院, 西安 710038

收稿日期: 2016-01-28

  修回日期: 2016-03-16

  网络出版日期: 2016-03-23

基金资助

国家自然科学基金(61374145,U1333131);国家“973”计划(2015CB755802)

Reconfigurable control methods of icing aircraft longitudinal motion based on robust servo LQR

  • CHEN Wei ,
  • XU Haojun ,
  • WANG Xiaolong ,
  • PEI Binbin ,
  • LI Zhe
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  • College of Aeronautic and Astronautic Engineering, Air Force Engineering University, Xi'an 710038, China

Received date: 2016-01-28

  Revised date: 2016-03-16

  Online published: 2016-03-23

Supported by

National Natural Science Foundation of China (61374145, U1333131); National Basic Research Program of China (2015CB755802)

摘要

由于防/除冰系统总会出现故障或者除冰不彻底,因此仅依靠防/除冰系统实现结冰条件下的安全飞行并非完全可靠,研究结冰后飞机控制律重构对飞机操纵安全和飞行安全极其重要。针对飞机的纵向运动建立了结冰影响模型和纵向动力学模型,采用鲁棒伺服线性二次型调节器(LQR)最优控制设计了飞机结冰后空中飞行纵向控制律,模拟了飞机在俯仰姿态保持模式下遭遇不同严重程度结冰后的动态响应特性,并与常规PID控制进行对比。结果表明,所设计的控制律能够有效改善结冰飞机的飞行性能和飞行品质,准确跟踪给定的俯仰角指令,且抗干扰能力、动态性能以及鲁棒性均优于常规PID控制。为飞机结冰后的重构控制问题和自动飞行控制,提供了新的思路。

本文引用格式

陈威 , 徐浩军 , 王小龙 , 裴彬彬 , 李哲 . 基于鲁棒伺服LQR的结冰飞机纵向控制律重构方法[J]. 航空学报, 2017 , 38(1) : 120129 -120129 . DOI: 10.7527/S1000-6893.2016.0087

Abstract

Anti-icing and de-icing system could not ensure flight safety under icing condition all the time due to the unreliability of it, research focus on reconfigurable flight control for ice tolerance is significant. The icing effect model and longitudinal dynamic model are established. Based on robust servo linear quadratic regulator (LQR), the longitudinal flight control law is designed for icing aircraft, and then employed to study the dynamic response characteristics to different icing severity with pitch attitude hold, which validates the performance of the designed control law. Moreover, compared to the PID control, the result shows that the designed control law can improve the icing aircraft's flight performance and qualities, and track the pitch instructions excellently. In addition, the anti-jamming capability, dynamic performance and robustness are better than PID control. The proposed methodology can give a theoretical support for reconfigurable control and automatic flight control design under icing conditions.

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