A Fast Adaptive Control Algorithm for an Unmanned Helicopter Stability Augmentation System

被引：0
|
作者：
Sun Chenwu [1 ]
Sheng Shouzhao [1 ]
机构：
[1] Nanjing Univ Aeronaut & Astronaut, Coll Automat Engn, Nanjing 210016, Jiangsu, Peoples R China
来源：
PROCEEDINGS OF THE 35TH CHINESE CONTROL CONFERENCE 2016 | 2016年
基金：
中国国家自然科学基金;
关键词：
adaptive control; model reference; stability augmentation; time-varying parameter; unmanned helicopter; FLIGHT CONTROL DESIGN;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The task of control of unmanned helicopters is complicated as they exhibit highly coupled nonlinear dynamics and inherent instability. Moreover, the problem is often accentuated due to inaccurate modeling. This paper presents a fast adaptive control algorithm for an unmanned helicopter stability augmentation system with a guaranteed model reference tracking performance. In comparison with the existing adaptive algorithm, the proposed algorithm can also speed up the convergence rates of adjustable parameters and significantly reduce the tracking error, even when the plant parameters vary rapidly. The effectiveness and superiority of the proposed fast adaptive control algorithm are demonstrated through a series of simulation tests.
引用
收藏
页码：10684 / 10689
页数：6
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