A key problem in the fixed-wing UAVs control with constraints is the time consumption of objective function optimization. In this paper, considering multiple constraints, an improved model predictive control algorithm for the path planning problem of fixed-wing UAVs is proposed to reduce the computer storage requirements and enhance the calculation efficiency. The improved MPC and the inner loop controller are combined in Matlab and Simulink for verification, which shows that our method has a faster convergence of the fixed-wing UAVs positions into a desired formation.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Path Planning Based on Improved MPC for Fixed Wing UAVs with Collision Avoidance


    Additional title:

    Lect. Notes Electrical Eng.


    Contributors:
    Yan, Liang (editor) / Duan, Haibin (editor) / Yu, Xiang (editor) / Su, Meimei (author) / Liu, Huixia (author) / Hu, Jinwen (author) / Zhao, Chunhui (author) / Hou, Xiaolei (author) / Pan, Quan (author) / Jia, Caijuan (author)


    Publication date :

    2021-10-30


    Size :

    10 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




    Path Planning Based on Improved MPC for Fixed Wing UAVs with Collision Avoidance

    Su, Meimei / Liu, Huixia / Hu, Jinwen et al. | British Library Conference Proceedings | 2022


    Path Planning Based on Improved MPC for Fixed Wing UAVs with Collision Avoidance

    Su, Meimei / Liu, Huixia / Hu, Jinwen et al. | TIBKAT | 2022


    Minimal Deviation from Mission Path After Automated Collision Avoidance for Small Fixed Wing UAVs

    Browne, Jeremy P. / Neuhart, Cole / Moleski, Travis W. et al. | TIBKAT | 2022


    Minimal Deviation from Mission Path After Automated Collision Avoidance for Small Fixed Wing UAVs

    Browne, Jeremy P. / Neuhart, Cole / Moleski, Travis W. et al. | AIAA | 2022


    Path Planning Method for Collision Avoidance of Multiple UAVs

    Kim, Hyeok / Kwak, Jeonghoon / Sim, Guichang et al. | Springer Verlag | 2017