Human memory/learning inspired control method for flapping-wing micro air vehicles

Y. D. SONG; Liguo WENG; Gary LEBBY

doi:10.1016/S1672-6529(09)60201-8

Human memory/learning inspired control method for flapping-wing micro air vehicles

Y. D. SONG^*
, Liguo WENG
, Gary LEBBY

^*Corresponding author for this work

Research output: Journal Publications › Journal Article (refereed) › peer-review

11 Citations (Scopus)

Abstract

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. © 2010 Jilin University.

Original language	English
Pages (from-to)	127-133
Number of pages	7
Journal	Journal of Bionic Engineering
Volume	7
Issue number	2
DOIs	https://doi.org/10.1016/S1672-6529(09)60201-8
Publication status	Published - 1 Jun 2010
Externally published	Yes

Keywords

Bio-inspired
Flapping wing
Memory-based control
Micro air vehicle

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10.1016/S1672-6529(09)60201-8

Cite this

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title = "Human memory/learning inspired control method for flapping-wing micro air vehicles",

abstract = "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. {\textcopyright} 2010 Jilin University.",

keywords = "Bio-inspired, Flapping wing, Memory-based control, Micro air vehicle",

author = "SONG, \{Y. D.\} and Liguo WENG and Gary LEBBY",

year = "2010",

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T1 - Human memory/learning inspired control method for flapping-wing micro air vehicles

AU - SONG, Y. D.

AU - WENG, Liguo

AU - LEBBY, Gary

PY - 2010/6/1

Y1 - 2010/6/1

N2 - 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. © 2010 Jilin University.

AB - 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. © 2010 Jilin University.

KW - Bio-inspired

KW - Flapping wing

KW - Memory-based control

KW - Micro air vehicle

UR - https://www.scopus.com/pages/publications/77954284588

U2 - 10.1016/S1672-6529(09)60201-8

DO - 10.1016/S1672-6529(09)60201-8

M3 - Journal Article (refereed)

AN - SCOPUS:77954284588

SN - 1672-6529

VL - 7

SP - 127

EP - 133

JO - Journal of Bionic Engineering

JF - Journal of Bionic Engineering

IS - 2

ER -

Human memory/learning inspired control method for flapping-wing micro air vehicles

Abstract

Keywords

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