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ACTA AERONAUTICAET ASTRONAUTICA SINICA ›› 2013, Vol. 34 ›› Issue (7): 1682-1697.doi: 10.7527/S1000-6893.2013.0284

• Electronics and Control • Previous Articles     Next Articles

Space-air Resources Multi-phase Cooperation Task Planning Approach Based on Heterogeneous MAS Model

LI Jun, LI Jun, ZHONG Zhinong, JING Ning, HU Weidong   

  1. College of Electronic Science and Engineering, National University of Defense Technology, Changsha 410073, China
  • Received:2012-08-27 Revised:2012-11-09 Online:2013-07-25 Published:2012-11-29
  • Supported by:

    National Natural Science Foundation of China (61174159, 61101184)

Abstract:

Coordinated observation of air and space assets is the trend of earth observation and it is expected to continue in the future. In order to increase the information gain of earth observation and improve the completion ratio of multi-phase missions, this paper analyzes the heterogeneity of observation resources and the diversity of decompositions for complex observation missions. Considering the differences between a satellite task planning model and an airplane task planning model, a heterogeneous multi-agent system (MAS) multi-phase cooperative planning model is constructed. Based on this model, the problem solving process is divided into two coordinated parts. A heterogeneous MAS multi-phase cooperative planning algorithm based on the market model, and a resource agent cooperative planning algorithm based on the adaptive "Super Step" theory are proposed. Finally, the above method is used to solve the joint observation problemof air and space assets. Experiment and analysis show that the proposed approach can solve the problem effectively.

Key words: space-air cooperation, remote sensing, multi-agent system, Markov process, scheduling algorithm, market model

CLC Number: