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Unmanned aerial vehicle avoidance decision-making method based on TOPSIS-analytic hierarchy process

A technology of analytic hierarchy process and decision-making method, which is applied in the field of UAV avoidance decision-making based on TOPSIS-AHP, can solve the problems of low precision, weak explainability, low explainability, etc. The effect of weak explanatory power and strong objectivity

Pending Publication Date: 2021-10-22
HEBEI UNIVERSITY OF SCIENCE AND TECHNOLOGY
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  • Description
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  • Application Information

AI Technical Summary

Problems solved by technology

The traditional AHP model is too subjective, too low in precision, and poor in real-time performance in the analysis of large UAV avoidance decisions
The TOPSIS rule is highly objective, weak in explainability, and not easy to convince people, and the weights in different evaluation indicators cannot be properly weighted
Other genetic algorithms, such as particle swarm algorithm and ant colony algorithm, are prone to fall into local optimum and have low interpretability

Method used

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  • Unmanned aerial vehicle avoidance decision-making method based on TOPSIS-analytic hierarchy process
  • Unmanned aerial vehicle avoidance decision-making method based on TOPSIS-analytic hierarchy process
  • Unmanned aerial vehicle avoidance decision-making method based on TOPSIS-analytic hierarchy process

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Embodiment Construction

[0050] The invention introduces key influencing factors including known and unknown data into the establishment of the UAV avoidance decision-making model, and combines the TOPSIS method on the basis of the analytic hierarchy process. The overall flow chart of the avoidance decision model is as follows: figure 1 shown.

[0051] 1. Construction of TOPSIS-hierarchical structure

[0052] Mixed airspace refers to multiple types of aircraft performing corresponding tasks in the same airspace. To establish the optimal avoidance decision for large UAVs in mixed airspace, according to relevant regulations; scholars, large aircraft engineers, and experts undertaking airspace UAV avoidance projects evaluated the information collected from the literature and relevant aviation departments through brainstorming. Determine five main influencing factors: aircraft performance B, mission level R, surrounding aircraft congestion V, collision risk level D, and meteorological environmental cond...

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Abstract

The invention relates to an unmanned aerial vehicle avoidance decision-making method based on a TOPSIS-analytic hierarchy process. The method comprises the following steps: (1) determining avoidance influence factors, and building a hierarchical structure of the avoidance decision influence factors; (2) processing the subjective data by using an analytic hierarchy process to obtain an average subjective weight coefficient; (3) processing the objective data by using a TOPSIS method to obtain an objective weight coefficient; (4) fusing the average subjective weight coefficient and the objective weight coefficient to obtain a positive and negative ideal solution distance; and (5) solving the fitting degree by using the obtained positive and negative ideal solution distance so as to determine an avoidance decision sequence. According to the invention, a safe distance can be kept between the aircrafts, the collision risk of the aircrafts is greatly reduced, and safe and efficient flight of the large unmanned aerial vehicle in the mixed airspace is ensured.

Description

technical field [0001] The invention relates to the technical field of unmanned aerial vehicles, in particular to a decision-making method for avoiding unmanned aerial vehicles based on TOPSIS-analytic hierarchy process. Background technique [0002] With the rapid development of drone technology. As a high-tech, it has always been highly valued by governments and the aviation industry, and more and more large-scale drones are used in the military and civilian fields. Therefore, it has become an inevitable trend to integrate them into the national airspace system. However, the complexity and increase in the number of large-scale drone operations has brought serious challenges to traditional airspace regulation systems and technologies. How to prevent conflicts between large UAVs and manned aircraft, and how to ensure the safe and efficient flight of large UAVs in mixed airspace has become a research hotspot in developed countries around the world. [0003] The AHP-based m...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G05D1/10
CPCG05D1/101
Inventor 吴学礼林东旭甄然王东明
Owner HEBEI UNIVERSITY OF SCIENCE AND TECHNOLOGY