Simulation Research on Cooperative Control of Multi Intelligent Ground Platform Based on Agent Theory

doi:10.16182/j.issn1004731x.joss.20-0260

Abstract

Abstract: In order to improve the cooperative control ability of the multi Intelligent ground platform and to adapt to the trend of intelligent war in the new situation, a multi intelligent ground platform cooperative Control simulation system based on jade and world wind Java is constructed. Based on multi-agent theory, the simulation model of intelligent ground platform is build. Based on JADE, the cooperative Control simulation platform is constructed. The task allocation mechanism is optimized by the particle swarm optimization algorithm. The simulation results show that the cooperative Control simulation platform has good robustness and flexibility. The optimized task allocation mechanism can improve the efficiency of the multi intelligent ground platform group, and can be applied to the simulation of the other intelligent platforms on the sea and in the air.

Key words: Intelligent ground platform, cooperative control, simulation model, particle swarm optimization algorithm

CLC Number:

TP391.9

Zhang Yunrong, Zhang Zhili, Li XiangYang, Wang Hongguang, Mi Wenpeng, Kong Xiangtong, Liu Pengpeng. Simulation Research on Cooperative Control of Multi Intelligent Ground Platform Based on Agent Theory[J]. Journal of System Simulation, 2020, 32(7): 1211-1219.

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