Trajectory control method for unmanned carrier aircraft taxiing

被引:0
|
作者
Liang T. [1 ]
Chen X. [2 ]
Yang Z. [1 ]
Wang H. [1 ]
Liang Q. [1 ]
机构
[1] Aviation Key Laboratory of Science and Technology on Fighter Integrated Simulation, Chengdu
[2] School of Aeronautic Science and Engineering, Beihang University, Beijing
来源
Beijing Hangkong Hangtian Daxue Xuebao/Journal of Beijing University of Aeronautics and Astronautics | 2021年 / 47卷 / 02期
关键词
Aircraft carrier; Model predictive control; Rolling optimization; Taxiing trajectory; Trajectory control; Unmanned carrier aircraft;
D O I
10.13700/j.bh.1001-5965.2020.0294
中图分类号
学科分类号
摘要
Unmanned aircraft is an important weapon of carrier-aircraft system. Autonomous taxiing of aircraft is significant for the efficiency of deck operation. The trajectory control problem of unmanned aircraft taxiing on deck of an aircraft carrier is studied in this paper. First, the task of aircraft taxiing on the deck is described. On this basis, the mathematical model for taxiing trajectory control problem is established. In this model, the ground motion of aircraft is contained, the constraints of aircraft taxiing are considered, and the performance index is designed to evaluate the trajectory control task. Considering deck environment and trajectory control task requirement, a model predictive control based method is proposed to obtain the feasible taxiing path of aircraft. Trajectory control is integrated into online taxiing path planning, and rolling optimization method is adopted to calculate the practical taxiing trajectory and obtain the control command signal. Taking the Nimitz-class aircraft carrier as an example, the taxiing trajectories of multiple unmanned aircraft at different parking positions are calculated. Simulation results demonstrate the rationality of the established model and the validity of the proposed method. © 2021, Editorial Board of JBUAA. All right reserved.
引用
收藏
页码:289 / 296
页数:7
相关论文
共 27 条
  • [1] XIA G Q, LUAN T T, SUN M X, Et al., Reduction and catastrophe progression evaluation method for sortie generation of carrier aircraft, Systems Engineering and Electronics, 40, 2, pp. 330-337, (2018)
  • [2] WEISS L G., Autonomous robots in the fog of war, IEEE Spectrum, 48, 8, pp. 30-57, (2011)
  • [3] YUAN P L, HAN W, SU X C, Et al., Predictive-reactive dynamic scheduling strategy for carrier aircraft support in uncertain environment, Systems Engineering and Electronics, 41, 6, pp. 1265-1277, (2019)
  • [4] CLARE A S, RYAN J C, JACKSON K F, Et al., Innovative systems for human supervisory control of unmanned vehicles, Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 56, 1, pp. 531-535, (2012)
  • [5] LIU A, LIU K., Advances in carrier-based aircraft deck operation scheduling, System Engineering-Theory & Practic, 37, 1, pp. 49-60, (2017)
  • [6] RYAN J C, CUMMINGS M L., A systems analysis of the introduction of unmanned aircraft into aircraft carrier operations, IEEE Transactions on Human-Machine Systems, 46, 2, pp. 209-220, (2016)
  • [7] MIAO X M., Development trend and analysis of the ship-based UAV technology abroad, Ship Electronic Engineering, 33, 12, pp. 18-22, (2013)
  • [8] ZHANG Z, LIN S L, QIU B, Et al., Collision avoidance path planning of carrier aircraft traction system in dispatching on deck, System Engineering and Electronics, 36, 8, pp. 1551-1557, (2014)
  • [9] ZHANG Z, LIN S, DONG R, Et al., Designing a human-computer cooperation decision planning system for aircraft carrier deck scheduling, AIAA Infortech and Aerospace, (2015)
  • [10] SU X C, HAN W, XIAO W, Et al., Pit-stop support scheduling on deck of carrier plane based on Memetic algorithm, Systems Engineering and Electronics, 38, 10, pp. 2303-2309, (2016)