Chaotic Artificial Bee Colony Algorithm for System Identification of a Small-Scale Unmanned Helicopter
Joint Authors
Source
International Journal of Aerospace Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-07-21
Country of Publication
Egypt
No. of Pages
11
Abstract EN
The purpose of this paper is devoted to developing a chaotic artificial bee colony algorithm (CABC) for the system identification of a small-scale unmanned helicopter state-space model in hover condition.
In order to avoid the premature of traditional artificial bee colony algorithm (ABC), which is stuck in local optimum and can not reach the global optimum, a novel chaotic operator with the characteristics of ergodicity and irregularity was introduced to enhance its performance.
With input-output data collected from actual flight experiments, the identification results showed the superiority of CABC over the ABC and the genetic algorithm (GA).
Simulations are presented to demonstrate the effectiveness of our proposed algorithm and the accuracy of the identified helicopter model.
American Psychological Association (APA)
Ding, Li& Hongtao, Wu& Yu, Yao. 2015. Chaotic Artificial Bee Colony Algorithm for System Identification of a Small-Scale Unmanned Helicopter. International Journal of Aerospace Engineering،Vol. 2015, no. 2015, pp.1-11.
https://search.emarefa.net/detail/BIM-1064547
Modern Language Association (MLA)
Ding, Li…[et al.]. Chaotic Artificial Bee Colony Algorithm for System Identification of a Small-Scale Unmanned Helicopter. International Journal of Aerospace Engineering No. 2015 (2015), pp.1-11.
https://search.emarefa.net/detail/BIM-1064547
American Medical Association (AMA)
Ding, Li& Hongtao, Wu& Yu, Yao. Chaotic Artificial Bee Colony Algorithm for System Identification of a Small-Scale Unmanned Helicopter. International Journal of Aerospace Engineering. 2015. Vol. 2015, no. 2015, pp.1-11.
https://search.emarefa.net/detail/BIM-1064547
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1064547