This paper aims to propose a novel model predictive control (MPC) with time varying weights to develop a lateral control law in an automatic carrier landing system (ACLS), which minimizes landing risk and improves flight quality.

    Design/methodology/approach

    First, a nonlinear mathematic model of an F/A-18 aircraft during lateral landing is established. Then the landing model is linearized in the form of state deviations on the equilibrium points. Second, landing risk windows are proposed and a high-dimensional landing risk model is addressed through a back propagation (BP) neural network. The trained samples are acquired based on a pilot behavior model. Third, time varying weights created from the lateral landing risk are introduced into the performance function of MPC. Optimal solution is solved quicker and some state deviations are focused on and eliminated. Fourth, the algebraic inequalities are substituted by the linear matrix inequalities (LMIs), which are easily calculated by the computers.

    Findings

    On a semi-physical platform, the proposed method compares with a traditional MPC algorithm and a modified MPC with an additional term. The test results indicate that the proposed algorithm brings about an excellent landing performance as well as an ability of eliminating landing risk.

    Practical implications

    The landing phase of a carrier-based aircraft is one of the most dangerous and complicated stages, and the algorithm proposed by this paper plays a vital role in the lateral landing.

    Originality/value

    This paper establishes a lateral landing risk model, which considers not only the current landing state but also the future touchdown point. This lateral landing risk is integrated into the time varying weights of the MPC algorithm so that the state deviations and landing risk can be both reduced in the rolling optimization.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Lateral autonomous carrier-landing control with high-dimension landing risks consideration


    Beteiligte:
    Wang, Lipeng (Autor:in) / Zhang, Zhi (Autor:in) / Zhu, Qidan (Autor:in) / Jiang, Xingwei (Autor:in)

    Erschienen in:

    Erscheinungsdatum :

    2020-04-27


    Format / Umfang :

    14 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Decoupling ADRC Lateral/Directional Controller of Autonomous Carrier-based UAV Landing

    WU, Wenhai / ZHANG, Yang / SONG, Liting et al. | IEEE | 2018


    Unmanned helicopter carrier landing device, carrier landing system and carrier landing method

    PENG JUN / HU YAOZONG / ZENG DONG et al. | Europäisches Patentamt | 2022

    Freier Zugriff

    Autonomous landing and control

    CANOY MICHAEL-DAVID NAKAYOSHI / LIU YINYIN / CHAU KIET TUAN | Europäisches Patentamt | 2018

    Freier Zugriff

    Autonomous Landing and Control

    CANOY MICHAEL-DAVID NAKAYOSHI / LIU YINYIN / CHAU KIET TUAN | Europäisches Patentamt | 2017

    Freier Zugriff

    Lunar landing propulsion consideration

    Stehling, K. R. | TIBKAT | 1963