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基于L1动态逆的自主空中加油对接控制 被引量:2

Autonomous Aerial Refueling Docking Control Based on L1 Adaptive Dynamic Inversion
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摘要 为实现无人受油机与加油机的自主安全对接,提出基于L1自适应动态逆的无人机自主空中加油对接跟踪控制方法。根据时标分离的原则,将无人受油机的姿态控制分为快、慢回路,采用动态逆方法设计姿态回路控制器,设计L1自适应系统补偿外界气流干扰和系统模型误差,并采用自主空中加油对接段仿真系统对所设计控制系统进行验证。仿真结果表明:该对接跟踪控制系统具有很高的抗干扰能力和鲁棒性,能满足自主空中加油的控制精度要求。 For realizing the autonomous and safe docking of unmanned receiver and refueling aircraft, put forward unmanned autonomous aerial refueling docking and tracking control method based on L1 self adaptive dynamic inversion. According to principle of time-scale separation, divide unmanned receiver gesture control intro fast and slow loop. Use dynamic inversion method to design gesture loop, and design L1 self-adaptive system to compensate external air flow disturbance and system model error, and verify the control system by autonomous aerial refueling docking simulation system. The simulation results show that the docking trace control system has high capacity of resisting disturbance and robustness, and it can satisfy the control precision of autonomous aerial refueling.
作者 朱虎 袁锁中 申倩 Zhu Hu;Yuan Suozhong;Shen Qian(College of Automation Engineering, Nanjing University of Aeronautics & Astronautics, Nanjing 211106, China)
出处 《兵工自动化》 2018年第1期19-23,共5页 Ordnance Industry Automation
基金 国家自然科学基金资助项目(61273050) 航空科学基金资助项目(20121352026)
关键词 自主空中加油 动态逆 L1自适应 对接控制 无人受油机 autonomous aerial refueling dynamic inversion L1 adaptive docking control unmanned receiver aircraft
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  • 1高振兴,顾宏斌.用于飞行仿真的空间大气紊流场生成与应用研究(英文)[J].Chinese Journal of Aeronautics,2009,22(1):9-17. 被引量:4
  • 2马东立.大气紊流数字仿真的改进方法[J].北京航空航天大学学报,1990,16(3):57-63. 被引量:8
  • 3赵震炎 肖业伦.Dryden大气紊流模型的数字仿真技术[J].航空学报,1986,7(5).
  • 4张鹏.综合自然环境建模与仿真关键技术研究[D].北京:北京航空航天大学,2009.
  • 5Lee H J, Robertson J P, Fortes A B. Generalized Cannon's algorithm for parallel matrix multiplication[ C l// Proceedings of the 11th international conference on Supercomputing. Vienna:Association for Computing Machinery, 1997:44-51.
  • 6McCanish S, Pachter M, Dazzo J. Optimal formation flight control[C]. AIAA Guidance Navigation and Control Conf. San Diego, 1996: 3868-3884.
  • 7Marcello R, Napolitano. Development of formation flight control algorithms using 3 YF-22 flying models[R]. Morgantown: West Virginia University, 2005.
  • 8Ren W, Nathan S. Distributed coordination architecture for multi-robot formation control[J]. Robotics and Autonomous Systems, 2008, 56(2): 324-333.
  • 9Norman H, Li M Liu. Formation UAV flight control using virtual structure and motion synchronization[C]. 2008 American Control Conf. Washington, 2008: 1782-1787.
  • 10Yosuke Sakai, Shinji Suzuki, Masahiro Miwa, et al. Flight test evaluation of non-linear dynamic inversion controller[C]. 46th AIAA Aerospace Sciences Meeting and Exhibit. Reno Nevada, 2008: 209-223.

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