Generation of optimal reentry trajectory for a hypersonic vehicle (HV) satisfying both boundary conditions and path constraints is a challenging task. As a relatively new swarm intelligent algorithm, an adaptive fireworks algorithm (AFWA) has exhibited promising performance on some optimization problems. However, with respect to the optimal reentry trajectory generation under constraints, the AFWA may fall into local optimum, since the individuals including fireworks and sparks are not well informed by the whole swarm. In this paper, we propose an improved AFWA to generate the optimal reentry trajectory under constraints. First, via the Chebyshev polynomial interpolation, the trajectory optimization problem with infinite dimensions is transformed to a nonlinear programming problem (NLP) with finite dimension, and the scope of angle of attack (AOA) is obtained by path constraints to reduce the difficulty of the optimization. To solve the problem, an improved AFWA with a new mutation strategy is developed, where the fireworks can learn from more individuals by the new mutation operator. This strategy significantly enhances the interactions between the fireworks and sparks and thus increases the diversity of population and improves the global search capability. Besides, a constraint-handling technique based on an adaptive penalty function and distance measure is developed to deal with multiple constraints. The numerical simulations of two reentry scenarios for HV demonstrate the validity and effectiveness of the proposed improved AFWA optimization method, when compared with other optimization methods.


    Access

    Download


    Export, share and cite



    Title :

    Reentry Trajectory Optimization for a Hypersonic Vehicle Based on an Improved Adaptive Fireworks Algorithm


    Contributors:
    Xing Wei (author) / Lei Liu (author) / Yongji Wang (author) / Ye Yang (author)


    Publication date :

    2018




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    Unknown




    Hypersonic Vehicle Reentry Trajectory Optimization Based on Particle Swarm Algorithm

    Haiqing, Wang / Junfeng, Jiang / Xinlu, Guo et al. | Springer Verlag | 2025



    Reentry Trajectory Planning of Hypersonic Gliding Vehicle Based on IFDS Algorithm

    Zhang, Ke / Wang, Mengyang / Zhang, Zhaohua et al. | Springer Verlag | 2025


    Multi-objective optimization of reentry trajectory for Hypersonic Gliding Vehicle

    Ding, Dali / Guo, Haifeng / Huang, Liqiong et al. | IEEE | 2016