Fast Online Trajectory Generation for Time Adjustable Flight Consensus

被引:0
|
作者
Jiang, Xi [1 ]
Wang, Jia [1 ]
Zhao, Bin [2 ]
Xie, Jingjie [3 ]
机构
[1] China Elect Technol Grp Corp, Res Inst 20, Xian 710068, Shaanxi, Peoples R China
[2] Northwestern Polytech Univ, Inst Precis Guidance & Control, Xian 710072, Shaanxi, Peoples R China
[3] Hong Kong Polytech Univ, Dept Aeronaut & Aviat Engn, Kowloon, Hong Kong, Peoples R China
关键词
CONTROL GUIDANCE LAW; CONSTRAINED IMPACT; DESIGN;
D O I
10.1061/JAEEEZ.ASENG-5090
中图分类号
V [航空、航天];
学科分类号
08 ; 0825 ;
摘要
In this paper, a fast online guidance law generation method is proposed to resolve the flight time control guidance design problem for time adjustable flight consensus via an analytical polynomial shaping approach. The obtained guidance command is explicit such that fast online trajectory generation is applicable without blind parameters to be designed or tuned. Specifically, the polynomial shaping approach is employed to construct a reference relative range profile by a cubic polynomial in terms of a look angle-based auxiliary. The reference profile is solved by initial and terminal flight conditions. Meanwhile, the field-of-view limit is also achieved by explicitly deriving the conditions to be met for the reference profile's coefficients. Notably, the proposed technique does not rely on the error-prone time-to-go approximation. The trajectory generation command is derived using the guidance model under the expected relative range profile, and is finally presented as a proportional navigation guidance-like law which has simple structure and guaranteed effectiveness. Extensive numerical simulations under various flight consensus scenarios, comparison study, as well as Monte Carlo test under measurement errors and uncertainties are conducted to validate the proposed method.
引用
收藏
页数:11
相关论文
共 50 条
  • [21] Online trajectory generation for omnidirectional biped walking
    Behnke, Sven
    2006 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA), VOLS 1-10, 2006, : 1597 - 1603
  • [22] Time-optimal trajectory generation of a fast-motion planar parallel manipulator
    Liu, Yanjie
    Wang, Chenqi
    Li, Juan
    Sun, Lining
    2006 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS, VOLS 1-12, 2006, : 754 - +
  • [23] Fast Gaze Typing with an Adjustable Dwell Time
    Majaranta, Paivi
    Ahola, Ulla-Kaija
    Spakov, Oleg
    CHI2009: PROCEEDINGS OF THE 27TH ANNUAL CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS, VOLS 1-4, 2009, : 357 - 360
  • [24] On Fast Jerk-, Acceleration- and Velocity-Restricted Motion Functions for Online Trajectory Generation
    Alpers, Burkhard
    ROBOTICS, 2021, 10 (01) : 1 - 26
  • [25] Real-Time Flight Trajectory Optimization and Its Verification in Flight
    Tsuchiya, Takeshi
    Miwa, Masahiro
    Suzuki, Shinji
    Masui, Kazuya
    Tomito, Hiroshi
    JOURNAL OF AIRCRAFT, 2009, 46 (04): : 1468 - 1471
  • [26] Fast Full State Trajectory Generation for Multirotors
    Beul, Marius
    Behnke, Sven
    2017 INTERNATIONAL CONFERENCE ON UNMANNED AIRCRAFT SYSTEMS (ICUAS'17), 2017, : 408 - 416
  • [27] Fast local representation of gravity anomaly along flight trajectory
    Zhou, Huan
    An, Xueying
    Zheng, Wei
    Tang, Guojian
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART G-JOURNAL OF AEROSPACE ENGINEERING, 2016, 230 (07) : 1201 - 1215
  • [28] Fast Online Trajectory Optimization for the Bipedal Robot Cassie
    Apgar, Taylor
    Clary, Patrick
    Green, Kevin
    Fern, Alan
    Hurst, Jonathan
    ROBOTICS: SCIENCE AND SYSTEMS XIV, 2018,
  • [29] TIME OF FLIGHT SPECTROMETER FOR FAST NEUTRONS
    NEILSON, GC
    JAMES, DB
    REVIEW OF SCIENTIFIC INSTRUMENTS, 1955, 26 (11): : 1018 - 1024
  • [30] A FAST TIME-OF-FLIGHT SPECTROMETER
    BECKMAN, L
    HANSEN, J
    JANSSON, R
    NUCLEAR INSTRUMENTS & METHODS, 1967, 52 (01): : 157 - &