Human Memory/Learning Inspired Control Method for Flapping-Wing Micro Air Vehicles

被引：0
作者：
Y. D. Song
Liguo Weng
Gary Lebby
机构：
[1] Beijing Jiaotong University,Center for Intelligent and Renewable Energy
[2] National Institute of Aerospace,Department of Electrical and Computer Engineering
[3] North Carolina A&T State University,undefined
来源：
Journal of Bionic Engineering | 2010年 / 7卷
关键词：
flapping wing; micro air vehicle; bio-inspired; memory-based control;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
The problem of flapping motion control of Micro Air Vehicles (MAVs) with flapping wings was studied in this paper. Based upon the knowledge of skeletal and muscular components of hummingbird, a dynamic model for flapping wing was developed. A control scheme inspired by human memory and learning concept was constructed for wing motion control of MAVs. The salient feature of the proposed control lies in its capabilities to improve the control performance by learning from experience and observation on its current and past behaviors, without the need for system dynamic information. Furthermore, the overall control scheme has a fairly simple structure and demands little online computations, making it attractive for real-time implementation on MAVs. Both theoretical analysis and computer simulation confirms its effectiveness.
引用
收藏
页码：127 / 133
页数：6
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