Unmanned aerial vehicle simulation flight intelligent control method and system for college teaching
By constructing an intelligent control system for simulated flight of unmanned aerial vehicles (UAVs) in universities, the problems of high cost, high safety risks, and stringent site requirements in UAV training in universities have been solved, realizing safe and reliable simulated flight teaching and improving control stability and teaching efficiency.
CN122176989APending Publication Date: 2026-06-09CHENGDU UNITECH TECH DEV CO LTD
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Patent Information
- Application Number
- CN202610445116.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-04-07
- Publication Date
- 2026-06-09
AI Technical Summary
Technical Problem
In university drone training, the cost of real drones is high, the safety risks are high, and the site requirements are stringent, making it difficult to meet the teaching needs of high-frequency, large-scale flight.
Method used
An intelligent control system for drone flight simulation is constructed, which enables real-time correction and safety intervention of student controls through dynamic model adaptation, personalized control feature recognition, safety envelope construction, and hierarchical intervention strategies.
Benefits of technology
It significantly reduces the accident rate in practical training, improves the stability of operation for beginners, reduces equipment wear and safety risks, and meets the teaching needs of universities.
✦ Generated by Eureka AI based on patent content.
Abstract
The invention discloses an unmanned aerial vehicle simulation flight intelligent control method and system for college teaching, and the method comprises the steps: a model building step: generating a scene adaption model; the control data of the students in flight are collected, and the personalized control characteristic parameters of the students are inversely identified through an online parameter identification algorithm; a security construction step: constructing a physical security envelope and a skill security envelope; an intention recognition step; an intervention step; and a teaching optimization step: collecting the control instruction and the flight response data, identifying an error type based on a misoperation feature library, and generating teaching prompt information. Therefore, according to the embodiment of the invention, the dynamic model of the multi-rotor unmanned aerial vehicle is constructed, parameter adaptation is carried out in combination with college teaching scenes (such as a playground and an airspace limited environment), and the flight of the unmanned aerial vehicle is regulated and controlled based on parameter configuration, so that the control system can correct the flight attitude, the accelerator and the course control quantity in real time according to the operation of students; and misoperation is automatically identified and safety intervention is provided.
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