Collaborative Multi-Mission Planning of Unmanned Systems in Cross-Domain Environment

In the complex battlefield environment, the cross-domain collaborative mission planning of multi-platform unmanned systems is of great significance to improve the operational autonomy. Especially in the volatile battlefield environment, how to quickly and accurately carry out multi-platform collaborative mission planning in the face of threat sources and targets to be investigated is still a problem. This paper establishes a mission planning model between cross-domain unmanned systems, and analyzes the impact of spatiotemporal factors on the key technical indicators of task allocation. The multi-objective programming problem is transformed into a series of single-objective programming that affect each other, and an improved platform space-time multiplexing multi-dimensional multi-objective knapsack problem solving algorithm is proposed. At the same time, considering the limitations of two loads and the space-time multiplexing of multiple unmanned platforms, the planning results are optimized, which improves the efficiency of task planning and reduces the total time and total consumption of task execution. The simulation results show that the proposed model and algorithm can effectively solve the problem of multi-platform collaborative task planning for cross-domain unmanned systems.