An Autonomous Planning Method for UAV Based on Behavior-Conditional Model

With the rapid development of information technology and intelligent technology, the future environment of battlefield is being complex and changeable. The traditional use way of UAV based on pre-planning is difficult to meet the basic needs, especially to deal with battlefield emergencies. In order to solve this problem, this paper takes the application of Rule-based Modeling Method in autonomous mission planning of UAV as the research object, and simplifies it into Behavior- Conditional Model by using Rule-based Modeling Method. Through the analysis and modeling of Behavior-Conditional Rules, detailed rules describing various common task patterns are established, and task operation behavior rules and priority decision rules of task objectives are formulated. In summary, an autonomous decision-making method based on rule reasoning is formed. Finally, the method of random generation of threat sources is used to simulate the actual combat environment. By evaluating the effects of rule-based and irregular deduction, simulation experiments verify the feasibility and effectiveness of the Rule-based Modeling Method, and the experimental results are satisfactory.

I. Introduction

With the development of military forces in various countries, the requirement for the accuracy and timeliness of UAV inspection and attacking is getting higher and higher, and the existing way of UAV pre-planning is becoming more and more difficult to adapt to the changing battlefield situation. On the other hand, the mode of single UAV to perform a single task is outdated. In the future modern scenario, it is normal for a single UAV to perform multiple tasks and multi-UAV to perform multiple tasks together. The relationship between tasks and the uncertainty of tasks pose a difficult problem for pre-mission planning. Therefore, it is imperative to adopt an autonomous or semi-autonomous approach to real-time mission planning. According to the fact that UAV pre-planning is difficult to adapt to the complex and dynamic environment, the topic of autonomous mission planning is put forward in order to solve the corresponding problems through the autonomy of mission planning^[1]–[3].