Title :
Real-Time Optimal Mission Scheduling and Flight Path Selection
Author :
Kim, Yoonsoo ; Gu, Da-wei ; Postlethwaite, Ian
Author_Institution :
Univ. of Leicester, Leicester
fDate :
6/1/2007 12:00:00 AM
Abstract :
We consider a mission in which m UAVs with a capacity limit q each visit n(les mq) targets in a hostile environment in a cooperative manner (and return to where they departed from) such that the cost reflecting operating time and risk exposed is minimized. We first propose a mixed-integer linear programming (MILP) formulation which exactly solves the problem and then propose four alternative MILP formulations which are computationally less intensive and, therefore, suited for real-time purposes, but yield a theoretically guaranteed suboptimal solution. The main contributions of this note are an exact but compact MILP formulation, using a room concept, and four nonexact formulations, each one of which ensures a certain level of solution quality and relatively fast computational time for the considered real-time mission scheduling problem.
Keywords :
aircraft; integer programming; linear programming; remotely operated vehicles; scheduling; telerobotics; MILP; UAV; flight path selection; mixed-integer linear programming; real-time optimal mission scheduling; real-time target assignment; unmanned air vehicle; Cost function; Councils; Linear programming; Military computing; Processor scheduling; Radar; Routing; Traveling salesman problems; Unmanned aerial vehicles; Weapons; Mixed-integer linear programming (MILP); real-time target assignment; unmanned air vehicle (UAV);
Journal_Title :
Automatic Control, IEEE Transactions on
DOI :
10.1109/TAC.2007.899048