一种用于农田监测的双舵机仿生蝴蝶控制方法及系统

By employing a dual-servo biomimetic butterfly control method, and utilizing the differential coefficient calculation of wing flapping frequency and phase difference, along with a linear regression model, the problem of insufficient adaptability of biomimetic butterfly flight control parameters in agricultural environments was solved, thereby improving stability and endurance.

CN122151563BActive Publication Date: 2026-07-17JIANGNAN UNIV

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
JIANGNAN UNIV
Filing Date
2026-05-09
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing biomimetic butterfly flight control methods used for farmland monitoring cannot perceive dynamic environmental changes such as wind speed and turbulence intensity in farmland in real time, resulting in insufficient adaptability of control parameters and sudden changes in flapping frequency and servo output, which affect flight attitude stability and endurance.

Method used

The system employs a dual-servo biomimetic butterfly control method. By constructing a calculation equation based on the phase difference of the left and right wing flapping, the maximum effective value of the phase difference, and the differential coefficient of the wing flapping frequency, and combining it with a linear regression model, the system adjusts the wing flapping frequency and phase difference in real time to adapt to different farmland environments and achieve stable flight.

Benefits of technology

It improves the flight control precision and stability of biomimetic butterflies in farmland environments, extends their flight life, and enhances their adaptability to complex environments.

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Abstract

本发明属于农田巡检技术领域,涉及一种用于农田监测的双舵机仿生蝴蝶控制方法及系统,双舵机仿生蝴蝶包括四个蝶翅、主舵机和辅助舵机,以双舵机差异化系数、展弦比、湍流强度为自变量、蝶翅扑动频率为因变量拟合第一线性回归模型;以双舵机差异化系数的倒数、展弦比、湍流强度为自变量、左右蝶翅扑动相位差为因变量拟合第二线性回归模型;计算仿生蝴蝶在农田监测时的当前双舵机差异化系数,若当前双舵机差异化系数小于第一预设阈值,则计算目标蝶翅扑动频率并通过主舵机控制仿生蝴蝶的蝶翅扑动频率;若当前双舵机差异化系数大于第二预设阈值,则计算目标左右蝶翅扑动相位差并通过辅助舵机控制仿生蝴蝶的左右蝶翅扑动相位差。
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