Robust optimal trajectory design by integrating genetic algorithm with min-max method

Jianmei Song, Xianxiang Chen, Zhiyong Liu, Jing Zhang

Research output: Contribution to journalArticleResearchpeer-review

2 Citations (Scopus)

Abstract

A robust optimal trajectory design method is proposed in this paper. Genetic Algorithm (GA) is employed to optimize the whole trajectory to improve the terminal attack performance. To enhance the robustness of the trajectory to disturbances, the min-max method is integrated into the GA optimization process. The proposed approach is carefully illustrated with the robust optimization design of the trajectory for a portable short-range top-attack (PSRTA) missile. The H8 robust gainscheduled technique is used to design the attitude tracking autopilot to facilitate the trajectory design. The damp feedback loop of the weakly-damped missile body is innovatively treated as the Linear Parameter Varying system (the controlled plant), which is good for practical use. The proposed robust optimal trajectory design method and the H8 robust gain-scheduled attitude tracking autopilot are demonstrated to be effective from the whole trajectory simulation results of the PSRTA missile, which also exhibit high applicability for practical engineering problems.

Original languageEnglish
Pages (from-to)1013-1019
Number of pages7
JournalInternational Journal of Control, Automation and Systems
Volume9
Issue number5
DOIs
Publication statusPublished - 2011
Externally publishedYes

Keywords

  • Genetic algorithm
  • Linear parameter varying
  • Min-max method
  • Robust gain-scheduled
  • Robust optimal trajectory

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