The trust-region-based sequential convex programming (TSCP) method is designed to solve the nonlinear trajectory planning problem using successive linearization and trust region. The TSCP method has a good real-time performance suitable for onboard aerospace applications. However, the main challenge in practical applications is its poor convergence. In this article, we reveal an oscillation phenomenon, which is an important factor affecting the convergence. The main contribution of this article is threefold: 1) the oscillation phenomenon is proved to be an inherent property of the TSCP method for the nonlinear trajectory planning problem; 2) the oscillation condition that determines whether oscillation occurs is obtained; and 3) the oscillation-condition-based remedy to address the oscillation is presented. The effectiveness and robustness of the proposed remedy have been verified via a complex reentry trajectory planning problem.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Oscillation Phenomenon in Trust-Region-Based Sequential Convex Programming for the Nonlinear Trajectory Planning Problem


    Contributors:
    Xie, Lei (author) / He, Rui-Zhi (author) / Zhang, Hong-Bo (author) / Tang, Guo-Jian (author)


    Publication date :

    2022-08-01


    Size :

    7036586 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



    Higher-Order Soft-Trust-Region-Based Sequential Convex Programming

    Xie, Lei / Zhou, Xiang / Zhang, Hong-Bo et al. | AIAA | 2023



    NURBS-Based Sequential Convex Programming for Onboard Trajectory Optimization

    Zhao, Mengxin / Pan, Binfeng / Ran, Yunting et al. | IEEE | 2024



    Reduced Space Sequential Convex Programming for Rapid Trajectory Optimization

    Ma, Yangyang / Pan, Binfeng / Tang, Jingyuan | IEEE | 2024