LAUSR.org creates dashboard-style pages of related content for over 1.5 million academic articles. Sign Up to like articles & get recommendations!

Heuristic optimization of Bezier curves based trajectories for unconventional airships docking

Photo by austindistel from unsplash

Purpose This paper aims to describe a methodology to optimize the trajectory of unconventional airship performing a high-altitude docking manoeuvre. Design/methodology/approach The trajectories are based upon Bezier curves whose control… Click to show full abstract

Purpose This paper aims to describe a methodology to optimize the trajectory of unconventional airship performing a high-altitude docking manoeuvre. Design/methodology/approach The trajectories are based upon Bezier curves whose control points positions are optimized through particle swarm optimization algorithm. A minimum energy strategy is implemented by considering the airship physical properties. The paper describes the mathematical model of the airships, the trajectories modelling through Bezier’s curves and the optimization framework. A series of test cases has been developed to evaluate the proposed methodology. Findings Results obtained show that the implemented procedure is able to optimize the airship trajectories and to support their in-flight docking; a strong influence of the wind speed and course on the trajectories planning is highlighted. Research limitations/implications The wind speed considered in these simulations depends only on altitude, and gusts effect has been neglected. Practical implications The proposed model can support the study of unconventional airship trajectories and can be useful to evaluate best in-air docking strategies. Originality/value The paper addresses the problem of trajectory optimization for a class of new air vehicles with an heuristic approach.

Keywords: methodology; optimization bezier; heuristic optimization; bezier curves

Journal Title: Aircraft Engineering and Aerospace Technology
Year Published: 2017

Link to full text (if available)


Share on Social Media:                               Sign Up to like & get
recommendations!

Related content

More Information              News              Social Media              Video              Recommended



                Click one of the above tabs to view related content.