Evaluation of climb stability of UAV based on AHP-Enteopy Weight method

The arrival of the "5G" era has greatly promoted the development of drones in the express delivery industry. Whether drones can be fully integrated into the express delivery industry is a matter of stability. Based on fuzzy mathematics theory, this paper mainly uses the fuzzy comprehensive evaluation method to propose a new, quantitative evaluation method for the stability of the UAV during the climb phase. In the process of fuzzy evaluation, the design of weights is an extremely important content. This paper combines the analytic hierarchy process with larger subiective components and the entropy weight method with larger objective components. The weight is realized by the minimum relative information entropy theory Design optimization. The experimental results show that the stability evaluation algorithm designed in this paper has high accuracy and is consistent with objective facts, which can play a more profound role in promoting the development of the express delivery industry.