UAV optimal path planning using C-C-C class paths for target touring

Hong Wong, Vikram Kapila, Ravi Vaidyanathan

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

Abstract

In this paper, 2-D optimal C-C-C class paths are determined for unmanned air vehicles performing target touring with kinematic and tactical constraints. Using vector calculus, a path-planning problem is decomposed to yield a parameter optimization problem. An efficient hybrid optimization algorithm is then used to solve the parameter optimization problem. Illustrative numerical simulations are given to demonstrate the efficacy of our approach.

Original languageEnglish (US)
Title of host publication2004 43rd IEEE Conference on Decision and Control (CDC)
Pages1105-1110
Number of pages6
DOIs
StatePublished - 2004
Event2004 43rd IEEE Conference on Decision and Control (CDC) - Nassau, Bahamas
Duration: Dec 14 2004Dec 17 2004

Publication series

NameProceedings of the IEEE Conference on Decision and Control
Volume1
ISSN (Print)0191-2216

Other

Other2004 43rd IEEE Conference on Decision and Control (CDC)
CountryBahamas
CityNassau
Period12/14/0412/17/04

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Modeling and Simulation
  • Control and Optimization

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  • Cite this

    Wong, H., Kapila, V., & Vaidyanathan, R. (2004). UAV optimal path planning using C-C-C class paths for target touring. In 2004 43rd IEEE Conference on Decision and Control (CDC) (pp. 1105-1110). [TuC05.5] (Proceedings of the IEEE Conference on Decision and Control; Vol. 1). https://doi.org/10.1109/CDC.2004.1428840