Multi-objective intelligent optimization design method for underground coal mine unmanned aerial vehicle structure

Abstract

The invention discloses a multi-objective intelligent optimization design method for an underground coal mine unmanned aerial vehicle structure, and belongs to unmanned aerial vehicle structure designmethods. Unmanned aerial vehicle design: selecting decision variables of unmanned aerial vehicle structural design according to flight environment characteristics and cruise requirements of the underground unmanned aerial vehicle, determining optimization objectives and constraint conditions, and constructing a multi-objective optimization model of the underground unmanned aerial vehicle structural design; considering that the optimization target of the flight stability of the unmanned aerial vehicle is difficult to establish a numerical model, obtaining numerical simulation evaluation representing an individual and the flight stability of the individual based on decision variable values, and then constructing an agent model of the individual by adopting a machine learning method to forma flight stability optimization target evaluation function; adopting an NSGA-II multi-objective optimization method, combining with a constraint processing mechanism, achieving optimization of the structure of the unmanned aerial vehicle, and conducting simulation verification analysis on the obtained optimal structure. The multi-objective intelligent optimization design method is used for structural design of the underground coal mine unmanned aerial vehicle, and the rationality and scientificity of the structure of the unmanned aerial vehicle are effectively guaranteed, and the safety and economy of underground operation are guaranteed.

Description

technical field [0001] The invention relates to a structure design method of an unmanned aerial vehicle, in particular to a multi-objective intelligent optimization design method for an unmanned aerial vehicle structure in a coal mine. Background technique [0002] At present, the distribution of my country's coal resources is characterized by insufficient shallow burial. Coal mining is gradually developing into deep development and utilization. The difficulty of mining is getting higher and higher, and the possibility of disasters such as gas outbursts and rock bursts is also increasing. When an operation accident occurs, timely and accurate detection of the underground environment and personnel after the disaster must be carried out. However, the complex production conditions in coal mines greatly increase the difficulty of detection and rescue; the traditional manual rescue strategy has a high possibility of secondary accidents and doubles the danger to mine safety hazard...

AI Technical Summary

Problems solved by technology

[0004] There are few studies on intelligent optimization methods for quadrotor UAVs in coal mines. Most of the research work m

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