A partition method for UAV's envelope based on fuzzy clustering

Zhao Saifeng, Li Xiujuan, Lin Chuntao
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引用次数: 1

Abstract

In this paper, a partition method for envelope based on fuzzy clustering is designed to obtain the typical operating points as well as the interpolation mechanism of gain scheduling according to the comparability of the dynamic characteristics and the maneuverability in some partial flight regions. In order to get the most reasonable partition result, the index of clustering evaluation is chosen which divides the flight envelope into several sub envelope with similar characteristics. This approach provides the basis for gain scheduling and reduces the difficulty of the design of the flight control law at the same time.
基于模糊聚类的无人机包络划分方法
本文根据部分飞行区域的动力特性和机动性的可比性,设计了一种基于模糊聚类的包络划分方法,获得典型工作点以及增益调度的插值机制。为了得到最合理的划分结果,选择聚类评价指标,将飞行包络线划分为几个特征相似的子包络线。该方法为增益调度提供了依据,同时降低了飞控律设计的难度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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