Aiming at the problem of poor trajectory adaptability, low guidance accuracy and not suitable for the airbrake failure in the traditional terminal area energy management (TAEM) algorithm, an intelligent online planning scheme for TAEM 3-DOF trajectory is proposed. Firstly, a 3-DOF trajectory defined by three parameters is designed according to the constraints of the aircraft; Secondly, a strategy of TAEM trajectory online planning is proposed, which uses the idea of predictor-corrector and takes the velocity deviation as the feedback to iterate the three parameters of trajectory online. Finally, a scheme of online aerodynamic parameter intelligent identification is designed by using the advantages of RBF neural network, such as strong generalization ability, fast learning convergence speed and high accuracy. Combined with the above trajectory online planning algorithm, the comprehensive management of aircraft altitude and velocity is realized under the condition of strong uncertainty and airbrake failure, and the robustness and adaptability of the trajectory are enhanced. Under the PD guidance law, the simulation results show the feasibility, rapidity, and strong adaptability of online intelligent trajectory planning algorithm.


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    Title :

    Research on 3-DOF Trajectory Intelligent Online Planning Technology of TAEM


    Additional title:

    Lect. Notes Electrical Eng.


    Contributors:
    Wu, Meiping (editor) / Niu, Yifeng (editor) / Gu, Mancang (editor) / Cheng, Jin (editor) / Hou, Zheng (author) / She, Zhiyong (author)

    Conference:

    International Conference on Autonomous Unmanned Systems ; 2021 ; Changsha, China September 24, 2021 - September 26, 2021



    Publication date :

    2022-03-18


    Size :

    11 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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