Coordinated planning of space-aeronautics earth-observing based on CSP theory

Air and space-based earth-observing sensors are instrumental in monitoring natural phenomenon. And space-aeronautics coordinated observation can complement each other. However, current operations involve “stovepipe” systems in which inefficiencies are inherent. Considering the difference between satellite task planning model and airplane task planning model, a coordinated optimization model of space-aeronautics earth-observing is constructed. On this basis, the multi agent systems (MAS) optimization algorithm based on Nash Equilibrium (NE) theory is proposed. Then we explore the iteration coordination mode of algorithm according to the Communicating Sequential Processes (CSP) method, and propose an adaptive “Super Step” iteration coordinate mode. The stability of proposed iteration coordinate mode is proved based on the CSP theory. At last, the proposed algorithm is used to solve the problem of the joint observation of space. Simulation and analysis show that the proposed algorithm can effectively improve the efficiency and optimization of iteration process.