DocumentCode :
1698250
Title :
Cooperative control for UCAVs path planning
Author :
Pan, Changpeng ; Ye, Wen ; Chen, Jie ; Guo, Jiuzhi
Author_Institution :
Naval Aeronaut. & Astronaut. Univ., Yantai, China
fYear :
2010
Firstpage :
5259
Lastpage :
5263
Abstract :
Based on analyzing the characteristics of the co-evolutionary theory, the cooperative performance of co-evolutionary algorithm realized airspace cooperation for multi-UCAV cooperation path planning problem. While constraining the UCAV to arrive at the target simultaneously, a decomposition strategy was proposed, and the application of the coordination variable and coordination function approach was applied to multi-UCAV cooperation path planning problem. The simulation results show that the method could solve multi-UCAV cooperation path planning problem effectively.
Keywords :
aerospace robotics; cooperative systems; evolutionary computation; path planning; remotely operated vehicles; coevolutionary theory; cooperative control; coordination function approach; multiUCAV cooperation path planning problem; realized airspace cooperation; Conferences; Evolutionary computation; Genetics; Heuristic algorithms; Path planning; Simulation; Timing; cooperation path planning; decomposition strategy; multi-UCAV; o-evolutionary algorithm;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation (WCICA), 2010 8th World Congress on
Conference_Location :
Jinan
Print_ISBN :
978-1-4244-6712-9
Type :
conf
DOI :
10.1109/WCICA.2010.5554852
Filename :
5554852
Link To Document :
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