Design Hybrid Evolutionary PSO Aiding Miniature Aerial Vehicle Controllers
Joint Authors
Tran, Huu-Khoa
Peng, Shou-Tao
Chiou, Juing-Shian
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-10-12
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
Based on some sort of simplified fuzzy reasoning methods and PID parameters, many fuzzy-PID controller schemes are applied to control the complicated systems, recently.
Mathematical optimization calculations are making in encouraging EP with PSO yielding a higher-quality solution.
In this paper, a novel HEPSO algorithm as an improved variant of stochastic optimization strategy PSO, which assigns optimization to fuzzy-PID control gains, is established.
The benefit integration design of the HEPSO algorithm structure is generating and updating the new parameters for the fuzzy-PID control schemes in the short setting and operation time.
The proposed controllers have demonstrated performance to MAV models.
American Psychological Association (APA)
Chiou, Juing-Shian& Tran, Huu-Khoa& Peng, Shou-Tao. 2015. Design Hybrid Evolutionary PSO Aiding Miniature Aerial Vehicle Controllers. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-7.
https://search.emarefa.net/detail/BIM-1074457
Modern Language Association (MLA)
Chiou, Juing-Shian…[et al.]. Design Hybrid Evolutionary PSO Aiding Miniature Aerial Vehicle Controllers. Mathematical Problems in Engineering No. 2015 (2015), pp.1-7.
https://search.emarefa.net/detail/BIM-1074457
American Medical Association (AMA)
Chiou, Juing-Shian& Tran, Huu-Khoa& Peng, Shou-Tao. Design Hybrid Evolutionary PSO Aiding Miniature Aerial Vehicle Controllers. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-7.
https://search.emarefa.net/detail/BIM-1074457
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1074457