飞行控制,非线性控制,鲁棒自适应控制,高超声速飞行器," /> 飞行控制,非线性控制,鲁棒自适应控制,高超声速飞行器,"/> flight control,nonlinear system control,robust adaptive control,hypersonic vehicle,"/> <span style="font-size:14pt;font-family:黑体;">基于轨迹线性化方法的近空间飞行器鲁棒自适应控制</span><span style="font-size:medium;"></span>

中国科技核心期刊

中文核心期刊

CSCD来源期刊

空间控制技术与应用 ›› 2008, Vol. 34 ›› Issue (1): 38-43.

• 论文与报告 • 上一篇    下一篇

基于轨迹线性化方法的近空间飞行器鲁棒自适应控制


  

  1. 上海交通大学空天科学技术研究院,上海,200240
  • 出版日期:2008-02-25 发布日期:2021-12-11
  • 基金资助:

    国家自然科学基金(6077502260674107)及中国博士后基金(20070410725)资助项目

Robust Adaptive Control for Near Space Vehicle Based on Trajectory Linearization Method

#br#   

  1. Institute of Aerospace Science&Technology,Shanghai Jiao Tong University,Shanghai 200240,China
  • Online:2008-02-25 Published:2021-12-11

摘要:

研究一种新的近空间飞行器鲁棒自适应飞行控制系统设计方案。利用单隐层神经网络的函数逼近能力和被控对象分析模型的有用信息构建一种单隐层神经网络干扰观测器,用以在线估计系统中存在的不确定性,具有自适应调节能力的鲁棒控制器用以克服估计误差。将所得单隐层神经网络干扰观测器与轨迹线性化方法结合形成新的非线性系统鲁棒自适应控制方案,严格的理论证明在给定的自适应调节律作用下闭环系统所有误差最终有界。该控制方案被用于近空间飞行器飞行控制系统设计,高超声速飞行条件下的仿真结果表明该方法不仅有效,而且能够提供高精度、高稳定度的控制性能。

关键词: font-family:宋体, 飞行控制')">">飞行控制, 非线性控制, 鲁棒自适应控制, 高超声速飞行器')">">

Abstract: A robust adaptive flight control scheme is presented for a near—space vehicle(NSV)A novel estimator design technique called the single Hidden layer neural network disturbance observer(SDO)is developedThe SDO utilizes both the universal approximation property of neural networkand more useful information on the controlled systemA new robust adaptive control algorithm is proposed by Integrating the existing trajectory linearization control(TLC)method with the SD0 techniqueConditions are derived which guarantee ultimate boundedness of all the errors in the closed--loop systemFinallythe flight control system of the NSV is implemented by using the proposed methodExcellent disturbance attenuation ability and strong robustness of the Proposed method are demonstrated

Key words: font-family:宋体, flight control">flight controlfont-family:宋体, ')">">, nonlinear system control, robust adaptive control, hypersonic vehicle')">">

中图分类号: 

  • TPl83