Multi-level optimization mission planning and control methods for unmanned aerial vehicle

Abstract

Autonomous mission planning system for unmanned aerial vehicle (UAV) has the ability to perform complex tasks, during the process of task execution. Due to their own and external conditions may change, Effective self-re-planning aircraft can adapt to these changing conditions in the uninterrupted implementation of the mission objectives. Mission planning is a complex problem. By gradual decomposition of a large target for a number of multi-level independent sub-goals, it can reduce the overall complexity, without losing the characteristics of the whole system. At the same time, the next-generation human-machine interface can increase the ability of UAV operator's assistant decision and control accuracy.