期刊文献

An improved dynamic model identification method for small unmanned helicopter 收藏

改进的小型无人直升机的动态模型识别方法
原文求助 发布源
作者
Jian Zhou [1]; Shuyu Liu [1]; Jian Lu [1]; Xinyu Liu [1]
作者单位
[1]School of Electronics and Information, Xi’an Polytechnic University, Xi’an, China
关键词
Small unmanned helicopter; Frequency domain identification; Frequency domain curve fitting; Ant colony optimization algorithm; Levy method model identification;
关键词译文
小型无人直升机；频域标识；频域曲线拟合；蚂蚁菌落优化算法；征收方法模型识别；
页码
175-183
DOI
10.1108/AEAT-05-2023-0145
来源信息
Aircraft Engineering and Aerospace Technology ISSN：0002-2667, 2024年, 96卷, 1期, 175-183页
摘要
The purpose of this paper is to introduce an improved system identification method for small unmanned helicopters combining adaptive ant colony optimization algorithm and Levy’s method and to solve the problem of low model prediction accuracy caused by low-frequency domain curve fitting in the small unmanned helicopter frequency domain parameter identification method.
摘要译文
本文的目的是针对将适应性蚂蚁菌落优化算法和Levy的方法结合起来的小型无人直升机的改进系统识别方法，并解决低频域曲线在小型无人机频率中引起的低模型预测准确性问题的问题域参数识别方法。
Jian Zhou [1]; Shuyu Liu [1]; Jian Lu [1]; Xinyu Liu [1]. An improved dynamic model identification method for small unmanned helicopter[J]. Aircraft Engineering and Aerospace Technology, 2024,96(1): 175-183