On Model Identification of Engine for Unmanned Aerial Vehicle

被引：0

作者：

Pan Song ^{[1
]}

Wei Minxiang ^{[1
]}

机构：

[1] Nanjing Univ Aeronaut & Astronaut, Coll Energy & Power Engn, Nanjing 210016, Peoples R China

来源：

Proceedings of the 27th Chinese Control Conference, Vol 3 | 2008年

关键词：

Unmanned aerial vehicle; Two-stroke engine model; System identification; Stepwise regression;

D O I：

10.1109/CHICC.2008.4605798

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In the light of knowledge of statistics theory, the multi-element regression forecast algorithm is researched. Based on the experiments data of a two-stroke gasoline engine for unmanned aerial vehicle (UAV), a steady-state engine model is established by using a mathematical tool of stepwise regression. The procedure of modeling is described in detail. By comparing with experimental data, this model can describe the loading characteristic of the engine, and can achieve high fidelity model. The established engine model provides a basis for research of drive-train system and automatic control of UAV.

引用

页码：421 / 425

页数：5