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基于扩展$L_1$自适应的战斗机大迎角非线性控制
引用本文:陈海,何开锋,钱炜褀,沈宁. 基于扩展$L_1$自适应的战斗机大迎角非线性控制[J]. 控制与决策, 2017, 32(8): 1403-1408
作者姓名:陈海  何开锋  钱炜褀  沈宁
作者单位:中国空气动力研究与发展中心计算空气动力研究所,四川绵阳621000,中国空气动力研究与发展中心计算空气动力研究所,四川绵阳621000,中国空气动力研究与发展中心计算空气动力研究所,四川绵阳621000,中国兵器工业第203研究所,西安710065
基金项目:国家自然科学基金项目(11532016);中国博士后科学基金项目(2015M582810).
摘    要:针对常规动态逆控制对系统不确定性较为敏感的缺点,提出一种扩展$L_1$自适应控制方法,用于战斗机大迎角非线性控制.采用时标分离原理将控制系统分为内外两个回路,分别设计动态逆控制器作为基本控制器,用于角速率和角度的跟踪控制.设计$L_1$自适应控制器作为扩展控制器,用于抵消系统中的不确定性.分别在标称和加入参数摄动的情况下进行仿真验证与对比,仿真结果表明所提出的控制方法能够有效抵消系统中的不确定性,提高控制效果.

关 键 词:战斗机  大迎角控制  $L_1$自适应控制  动态逆  不确定性

$L_1$ adaptive augmentation for high angle of attack nonlinear control of fighter
CHEN Hai,HE Kai-feng,QIAN Wei-qi and SHEN Ningx. $L_1$ adaptive augmentation for high angle of attack nonlinear control of fighter[J]. Control and Decision, 2017, 32(8): 1403-1408
Authors:CHEN Hai  HE Kai-feng  QIAN Wei-qi  SHEN Ningx
Affiliation:Computational AerodynamicsResearch Institute,China Aerodynamics Research and Development Center,Mianyang 621000,China,Computational AerodynamicsResearch Institute,China Aerodynamics Research and Development Center,Mianyang 621000,China,Computational AerodynamicsResearch Institute,China Aerodynamics Research and Development Center,Mianyang 621000,China and No.203 Research Institute of China Ordnance Industries,Xián710065,China
Abstract:Since the conventional dynamic inversion(DI) control is sensitive to the uncertainties of system, an $L_1$ adaptive augmentation approach is proposed to control the high angle of attack of fighter. Firstly, the control system is divided into the inner loop and outer loop based on the time-scale separation principle. Then, dynamic inversion controllers are designed as the basic controllers to follow the angle rates and the angles. The $L_1$ adaptive controller is designed as augmentation controller to cancel the uncertainties of the control system. Finally, the simulations and comparisons are implemented in the nominal case and parameter perturbation case. Simulation results show that the proposed control approach is able to cancel the uncertainties and increase the control effects efficiently.
Keywords:
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