A three dimensional path planning for unmanned air vehicle based on improved genetic algorithm

Xia Li, Ruixuan Wei, Jun Zhou, Xuesong Li, Chong Zhang

Research output: Contribution to journalArticlepeer-review

12 Scopus citations

Abstract

A three dimensional path planning method based on an improved genetic algorithm is proposed. It can be used for effective and engineering-oriented path planning of low altitude penetration of an unmanned air vehicle(UAV). First, Digital terrain information is processed by integrated terrain elevation smoothing algorithm. Then, the safe surface is formed by considering the maneuverability of the UAV, and the threat model is built too. Finally, an improved genetic algorithm is proposed to plan the three dimensional paths on the safe surface. The algorithm's search efficiency is improved by considering some practical constraints in the design, and the algorithm's structure is simple and easily realized in engineering. The simulation result indicates that the planning algorithm is efficient and can meet the requirements of engineering realization.

Original languageEnglish
Pages (from-to)343-348
Number of pages6
JournalXibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University
Volume28
Issue number3
StatePublished - Jun 2010

Keywords

  • Engineering realization
  • Improved genetic algorithm
  • Low altitude penetration
  • Path planning
  • Threat model

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