To address the requirement for multi-target observation in an overlapping time window, the task scheduling of a single agile satellite with a single orbit is studied. The traditional algorithm lacks effectiveness due to the limitation of maneuvering capability and the redundancy of imaging mission. To improve the effectiveness, the collaborative planning of mission and attitude is proposed in this paper. First, the collaborative planning model of the mission and attitude is designed by establishing a mapping relationship between ground missions and spatial attitudes and by examining the optimality of attitude adjustment time between adjacent missions, which ensures that the satellite has no extra waiting time when observing adjacent missions. Then, based on the characteristics of the model, an Adaptive Pseudo-spectral Genetic Algorithm (APGA) is proposed to obtain the optimal adjustment time in mission planning of the agile satellite. Finally, simulation experiments are used to verify the enhanced effectiveness of the model and the algorithm proposed.
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