A swarm intelligence based approach has been used for design optimization of a single stage solid propellant small sounding rocket. The selected sounding rocket (SR) is capable of placing a small payload of 20 kg to an apogee of 100 km altitude. This optimization approach combines the advantage of a particle swarm optimization (PSO) to find the optimum. The aerodynamic, trajectory, propulsion and mass model were implemented in a Matlab environment, and a multi feasible design was applied to integrate the modules. It is shown that the proposed optimization approach was able to find a rapid convergence of the optimal solution with acceptable precision.


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    Titel :

    Multidisciplinary Design Optimization of a Single Stage Sounding Rocket using Swarm Intelligence


    Beteiligte:


    Erscheinungsdatum :

    11.08.2022


    Format / Umfang :

    795048 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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