Title :
Study on the real-time task assignment of multi-UCAV in uncertain environments based on genetic algorithm
Author :
Chen, Xia ; Tang, Ting ; Li, Lin
Author_Institution :
Shenyang Aerosp. Univ., Shenyang, China
Abstract :
A real-time task assignment scheme for multiple Unmanned Combat Aerial Vehicles (UCAV) operating in uncertain environment is proposed in this paper. Firstly, the situation in the uncertain environment and the uncertainty of the battlefield are analyzed. Then, a stochastic system model and a team utility Kfunction which take several indicators into account are established for multi-UCAV real-time task assignment in uncertain environments. A set of tasks are executed by the UCAV team cooperatively. Finally, the real-time task assignment is carried out with genetic algorithm. The simulation results demonstrate the effectiveness and suitability of the model.
Keywords :
aerospace robotics; genetic algorithms; military aircraft; mobile robots; multi-robot systems; remotely operated vehicles; stochastic systems; genetic algorithm; multi-UCAV; realtime task assignment; stochastic system model; team utility function; unmanned combat aerial vehicles; Automation; Conferences; Decision support systems; Mechatronics; Random access memory; Robots; UCAV; genetic algorithm; task planning; uncertain environment;
Conference_Titel :
Robotics, Automation and Mechatronics (RAM), 2011 IEEE Conference on
Conference_Location :
Qingdao
Print_ISBN :
978-1-61284-252-3
DOI :
10.1109/RAMECH.2011.6070459