Optimal path planning for unmanned air vehicles with kinematic and tactical constraints

Guang Yang, Vikram Kapila

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, we consider a class of 2-D optimal path-planning problems for unmanned air vehicles (UAVs) with kinematic and tactical constraints. The existence of an optimal path class satisfying the UAV kinematic constraints and vector calculus are exploited to reduce this class of optimal path-planning problems to a parameter optimization problem. Illustrative tactical constraints arising in target touring and obstacle avoidance problems are considered. A necessary condition for optimal path planning in the presence of tactical constraints is characterized. An efficient numerical algorithm using simulated dynamics is developed to enforce the optimality criterion. The proposed optimal path planner can handle multiple tactical constraints. An illustrative numerical simulation demonstrates the efficacy of our approach.

Original languageEnglish (US)
Title of host publicationProceedings of the IEEE Conference on Decision and Control
Pages1301-1306
Number of pages6
Volume2
StatePublished - 2002
Event41st IEEE Conference on Decision and Control - Las Vegas, NV, United States
Duration: Dec 10 2002Dec 13 2002

Other

Other41st IEEE Conference on Decision and Control
CountryUnited States
CityLas Vegas, NV
Period12/10/0212/13/02

    Fingerprint

ASJC Scopus subject areas

  • Chemical Health and Safety
  • Control and Systems Engineering
  • Safety, Risk, Reliability and Quality

Cite this

Yang, G., & Kapila, V. (2002). Optimal path planning for unmanned air vehicles with kinematic and tactical constraints. In Proceedings of the IEEE Conference on Decision and Control (Vol. 2, pp. 1301-1306)