High environmental adaptability dynamic working condition intelligent adjusting method for unmanned aerial vehicle engine

By comprehensively analyzing multi-source environmental perception and flight attitude data, a short-term prediction model is constructed to generate adaptive control parameters, which solves the problems of adjustment accuracy and stability of UAV engines in complex environments and realizes intelligent adjustment under dynamic operating conditions.

CN122172588BActive Publication Date: 2026-07-21JILIN UNIVERSITY +1
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
JILIN UNIVERSITY
Filing Date
2026-05-11
Publication Date
2026-07-21

AI Technical Summary

Technical Problem

Existing UAV engine operating condition adjustment methods lack the ability to comprehensively perceive and analyze multi-source environmental information and do not fully integrate the coupling relationship between flight attitude and environmental data, resulting in low adjustment accuracy and poor stability, making it difficult to meet the dynamic operating condition requirements of complex environments.

Method used

By collecting data from multi-source environmental sensing devices and combining it with UAV flight attitude data, a short-term prediction model is constructed using multi-head attention mechanism and nonlinear coupling feature analysis. This model is then used to make decisions on engine operating condition adjustment requirements, generate adaptive control parameters, and achieve intelligent dynamic operating condition adjustment.

Benefits of technology

It significantly improves the operational stability and power output consistency of UAV engines in complex environments, solves the problems of real-time prediction of environmental changes and actuator adjustment conflicts, and realizes dynamic, precise and safe adjustment of engine operating conditions.

✦ Generated by Eureka AI based on patent content.

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Abstract

The present application relates to the technical field of intelligent control, and especially relates to a high environmental adaptability dynamic working condition intelligent adjustment method for an unmanned aerial vehicle engine. The method comprises the following steps: collecting multi-source environment sensing data and unmanned aerial vehicle flight attitude data; analyzing unmanned aerial vehicle environment sensing mode label data according to the multi-source environment sensing data and the unmanned aerial vehicle flight attitude data; analyzing environment change-engine working condition influence characteristic data based on the unmanned aerial vehicle environment sensing mode label data; performing engine working condition adjustment demand decision analysis based on the environment change-engine working condition influence characteristic data and the unmanned aerial vehicle environment sensing mode label data, and generating engine working condition adjustment demand decision data; and performing engine each actuator adaptive control parameter analysis on the engine working condition adjustment demand decision data, and generating engine adaptive control parameters. The present application realizes dynamic intelligent adjustment of the working condition adaptability of the unmanned aerial vehicle engine in a high environment.
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