Unmanned aerial vehicle flight path optimization method based on deviation maximization and grey correlation analysis

Abstract

The invention discloses an unmanned aerial vehicle flight path optimization method based on deviation maximization and grey correlation analysis, belonging to the unmanned aerial vehicle flight path planning and uncertainty multiattribute decision making field. In the method, an unmanned aerial vehicle flight path scheme optimization decision-making target system is established according to different threats of the unmanned aerial vehicle, and an unmanned aerial vehicle flight path scheme optimization mathematical model is constructed by virtue of evaluation attributes. Concretely, according to a flight path planning scheme set, deviation maximization method is adopted to objectively weight all the evaluation attributes, grey correlation analytic method is adopted to solve the optimization model, grey correlation information existed among all the attributes are fully utilized, and finally an optimal flight path scheme is determined according to relevancy of decision layer. The method of the invention has strong objectivity, requires no expert advice to estimate and has strong feasibility.

Description

technical field [0001] The present invention relates to a track optimization method, in particular to an unmanned aerial vehicle track scheme optimization method based on deviation maximization and gray relational analysis, which belongs to the field of unmanned aerial vehicle track planning and uncertain multi-attribute decision-making. Background technique [0002] Unmanned Aerial Vehicle (UAV) has been extensively researched and developed rapidly since the 1960s. The original UAV was used as a target drone, and with the deepening of research, it began to gradually play various air combat roles, such as reconnaissance, surveillance, fire strikes, electronic jamming, deception containment, and battle damage assessment. Early UAVs flew according to the trajectory pre-calculated and set by the ground mission planning center. The basis of flight technology is one of the most effective means to improve the probability of drone survival. [0003] A reasonable trajectory planni...

AI Technical Summary

Problems solved by technology

These gray information often contain the degree of correlation between attributes, so they are global information with systematic significance. These gray correlation information should be fully used in the decision-making process of designing trajectory schemes. However, there are no relevant academic papers published so far. Discuss the gray relational information between various schemes, but directly carry out weighted summation to determine the comprehensive attribute value of each scheme, which often cannot reflect the gray information of these attributes

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