This paper focuses on the problem of automatic carrier landing control with time delay, and an antidelay model predictive control (AD-MPC) scheme for carrier landing based on the symplectic pseudospectral (SP) method and a prediction error method with particle swarm optimization (PE-PSO) is designed. Firstly, the mathematical model for carrier landing control with time delay is given, and based on the Padé approximation (PA) principle, the model with time delay is transformed into an equivalent nondelay one. Furthermore, a guidance trajectory based on the predicted trajectory shape and position deviation is designed in the MPC framework to eliminate the influence of carrier deck motion and real-time error. At the same time, a rolling optimal control block is designed based on the SP algorithm, in which the steady-state carrier air wake compensation is introduced to suppress the interference of the air wake. On this basis, the PE-PSO delay estimation algorithm is proposed to estimate the unknown delay parameter in the equivalent control model. The simulation results show that the delay estimation error of the PE-PSO algorithm is smaller than 2 ms, and the AD-MPC algorithm proposed in this paper can limit the landing height error within ±0.14 m under the condition of multiple disturbances and system input delay. The control accuracy of AD-MPC is much higher than that of the traditional pole assignment algorithm, and its computational efficiency meets the requirement of real-time online tracking.


    Zugriff

    Download


    Exportieren, teilen und zitieren



    Titel :

    Model Predictive Control for Automatic Carrier Landing with Time Delay


    Beteiligte:
    Kaikai Cui (Autor:in) / Wei Han (Autor:in) / Yujie Liu (Autor:in) / Xinwei Wang (Autor:in) / Xichao Su (Autor:in) / Jie Liu (Autor:in)


    Erscheinungsdatum :

    2021




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Unbekannt





    Automatic Carrier Landing System With Fixed Time Control

    Duan, Haibin / Yuan, Yang / Zeng, Zhigang | IEEE | 2022


    UAV Aircraft Carrier Landing Using CFD-Based Model Predictive Control

    Lorenzetti, Joseph / McClellan, Andrew R. / Farhat, Charbel et al. | AIAA | 2020


    Model Predictive Control with Deck Motion Prediction for UAS Carrier Landing

    Zeng, Jingxuan / Li, Chuntao / Wang, Xinru et al. | Springer Verlag | 2025


    UAV AIRCRAFT CARRIER LANDING USING CFD-BASED MODEL PREDICTIVE CONTROL

    Lorenzetti, Joseph / McClellan, Andrew R. / Farhat, Charbel et al. | TIBKAT | 2020