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兵工学报 ›› 2016, Vol. 37 ›› Issue (1): 64-70.doi: 10.3969/j.issn.1000-1093.2016.01.010

• 论文 • 上一篇    下一篇

某型无人机三维空间航迹跟踪控制方法研究

管军1, 易文俊1, 常思江2, 梁振东1, 吕一品1   

  1. (1.南京理工大学 瞬态物理国家重点实验室, 江苏 南京 210094; 2.南京理工大学 能源与动力工程学院, 江苏 南京 210094)
  • 收稿日期:2015-04-16 修回日期:2015-04-16 上线日期:2016-03-23
  • 通讯作者: 管军 E-mail:guanjun8710@163.com
  • 作者简介:管军(1987—), 男, 博士研究生
  • 基金资助:
    国家自然科学基金项目(11472136、11402117); 江苏省普通高校研究生科研创新计划项目(KYLX15-0419)

Study of Flight Path Tracking and Control of an UAV in 3D Space

GUAN Jun1, YI Wen-jun1, CHANG Si-jiang2, LIANG Zhen-dong1, LYU Yi-pin1   

  1. (1.National Key Laboratory of Transient Physics, Nanjing University of Science and Technology,Nanjing 210094,Jiangsu,China;2School of Power and Engineering,Nanjing University of Science and Technology,Nanjing 210094,Jiangsu,China)
  • Received:2015-04-16 Revised:2015-04-16 Online:2016-03-23
  • Contact: GUAN Jun E-mail:guanjun8710@163.com

摘要: 研究某型无人机三维空间航迹跟踪问题,通过在理想航迹上选取一系列航迹点,将航迹跟踪问题转换为航迹点跟踪问题。建立了无人机的动力学模型,将无人机的速度坐标系对准航迹点所在的理想坐标系,使位置跟踪问题转化为姿态跟踪问题。推导了无人机的制导律,并利用滑模变结构控制理论和反步控制理论分别设计了姿态控制器和速度控制器,姿态控制器使飞行器的速度矢量方向对准航迹点所在的方向,然后利用速度控制器控制速度的大小使飞行器到达预定航迹点。对整个制导、控制系统进行了全系统仿真,仿真结果表明:所设计的控制器具有较高的跟踪精度,且具有较强的抗干扰能力。

关键词: 控制科学与技术, 反步控制, 滑模变结构控制, 无人机, 航迹点跟踪, Lyapunov函数

Abstract: A flight path tracking problem is studied for underactuated UAV in 3D space. The question of flight path tracking is transformed into way-point tracking by choosing a serious point on flight path. A mathematic model is established.The speed frame is alined to the desired frame so that position tracking is converted into attitude tracking. The guidance law is also deduced, and the theories of sliding variable structure and back-stepping are used to design the attitude controller and velocity controller. The direction of velocity vector is aligned to the position of a way-point by using the attitude controller. The speed of UAV is controlled by the velocity controller to make the UAV closing to a way-point. The guidance and control systems are simulated. The result shows that the designed controller is perfect in tracking and have a strong robustness.

Key words: control science and technology, back-stepping, sliding variable structure, UAV, flight path tracking, Lyapunov function

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