控制与系统

基于滑模的自主空中加油会合跟踪制导与控制

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  • 南京航空航天大学自动化学院, 南京 211106

收稿日期: 2014-12-05

  修回日期: 2015-08-04

  网络出版日期: 2016-03-30

基金资助

国家自然科学基金(No.61273050);航空科学基金(No.20121352026)资助

Guidance and Control of Autonomous Aerial Refueling Rendezvous Trajectory Chasing Based on Sliding Mode Method

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  • College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China

Received date: 2014-12-05

  Revised date: 2015-08-04

  Online published: 2016-03-30

摘要

根据无人机与加油机的目标视线及无人机飞行速度之间的关系,建立了满足追踪会合要求的滑模控制面,设计了一种满足空中加油会合要求的制导律,生成了受油机侧向与法向期望过载.根据运动学关系,采用动态逆方法将期望过载转化为期望的角速率,设计了满足协调转弯的滚转角指令.内回路采用动态逆实现了角速率的跟踪控制.根据无人机与加油机相对位置与速度设计了满足会合要求的前飞速度指令.最后以无人机自主跟踪加油机实现会合为例进行了仿真.结果表明,该系统能够引导无人机与加油机的会合,具有良好的动态性能.

本文引用格式

龚全铨, 袁锁中, 张进 . 基于滑模的自主空中加油会合跟踪制导与控制[J]. 应用科学学报, 2016 , 34(2) : 215 -226 . DOI: 10.3969/j.issn.0255-8297.2016.02.011

Abstract

Based on the relative position and the line of sight between the receiver and the tanker aircraft, the receiver's normal and lateral flight acceleration command are generated using a sliding mode method to meet the trajectory chasing requirement. A dynamic inversion method is used to transform the desired acceleration to angular rate according to the kinematic relations. The roll angle command is designed to coordinate bank-toturn simultaneously. Tracking control of the angular rate loop is achieved using dynamic inversion. The forward acceleration command is generated according to the relative speed and range between the receiver and tanker. The velocity control law is designed using dynamic inversion. Nonlinear digital simulation results demonstrate that the controller is capable of guiding the receiver to rendezvous with the tanker, and the transient performance is good.

参考文献

[1] Joseph P N, Jacob L H. Automated aerial refueling:extending the effectiveness of unmanned air vehicles[C]//AIAA Modeling and Simulation Technologies Conference and Exhibit, San Francisco, 2005.AIAA Paper, 2005-6005

[2] Dibley R P, Allen M J, Nabaa N. Autonomous airborne refueling demonstration, phase I flight-test results[R]. NASA/TM-2007-214632, 2007.

[3] Brian S B. Autonomous unmanned aerial vehicle rendezvous for automated aerial refueling[D]. Ohio:Air Force Institute of Technology, 2007.

[4] Austin L S. Proportional navigation with adaptive terminal guidance for aircraft rendezvous[J]. Journal of Guidance, Control, and Dynamics, 2008, 31(6):1832-1835.

[5] Kampoon J, Dogan A. Guidance of receiver aircraft to rendezvous with tanker in the presence of wind[C]//AIAA Guidance, Navigation, and Control Conference, Toronto, Canada, 2010.

[6] 郭军,董新民,徐跃鉴. 无人机空中加油自主会合控制器设计[J]. 控制与决策,2010, 25(4):567-571. Guo J, Dong X M, Xu Y J. Design of UAV autonomous controller for rendezvous in aerial refueling[J]. Control & Decision, 2010, (4):567-571. (in Chinese)

[7] Ochi Y, Kominami T. Flight control for automatic aerial refueling via PNG and LOS angle control[C]//Proceedings of the AIAA Guidance, Navigation and Control Conference and Exhibit, San Francisco, CA, USA. 2005:1-11.

[8] Yamasaki T, Enomoto K, Takano H, Baba Y, Balakrishnan S N. Advanced pure pursuit guidance via sliding mode approach for chase UAV[C]//Proceedings of AIAA Guidance, Navigation and Control Conference, AIAA, 2009:2009-6298.

[9] Imado F, Uehara S. High barrel roll maneuvers against proportional navigation from optimal control viewpoint[J]. Journal of Guidance, Control, and Dynamics, 1998, 21(6):876-881.

[10] Dogan A, Venkataramannan S. Nonlinear control for reconfiguration of unmanned aerial vehicle formation[J] Journal of Guidance, Control, and Dynamics, 2005, 28(4):667-677.

[11] Pedro J O, Panday A, Dala L. A nonlinear dynamic inversion-based neurocontroller for unmanned combat aerial vehicles during aerial refueling[J]. International Journal of Applied Mathematics and Computer Science, 2013, 23(1):75-90.
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