A trajectory-generation framework for time-critical cooperative missions

Ronald Choe, Venanzio Cichella, Enric Xargay, Naira Hovakimyan, Anna C. Trujillo, Isaac Kaminer

Research output: Contribution to conferencePaper

Abstract

This paper introduces a heuristic planar trajectory-generation framework for multiple vehicles. Desired feasible trajectories are generated using Pythagorean Hodograph B ́ezier curves that satisfy the dynamic constraints of the vehicles, and guarantee spatial separation between the paths for safe operation. It is shown that the trajectory generation framework can be cast into a constrained optimization problem where a set of (sub)optimal desired trajectories are obtained by minimizing a cost function. To show the efficiency of the algorithm, a simulation example is given, where three fixed-wing Unmanned Aerial Vehicles are following and coordinating along feasible trajectories that are generated by the algorithm.

Original languageEnglish (US)
StatePublished - Sep 16 2013
EventAIAA Infotech at Aerospace (I at A) Conference - Boston, MA, United States
Duration: Aug 19 2013Aug 22 2013

Other

OtherAIAA Infotech at Aerospace (I at A) Conference
CountryUnited States
CityBoston, MA
Period8/19/138/22/13

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ASJC Scopus subject areas

  • Aerospace Engineering

Cite this

Choe, R., Cichella, V., Xargay, E., Hovakimyan, N., Trujillo, A. C., & Kaminer, I. (2013). A trajectory-generation framework for time-critical cooperative missions. Paper presented at AIAA Infotech at Aerospace (I at A) Conference, Boston, MA, United States.