Fuzzy controller parameters optimization based particle swarm optimization algorithm for electro-hydraulic system
Author
Source
Anbar Journal for Engineering Sciences
Issue
Vol. 7, Issue 2 (31 Dec. 2017), pp.120-133, 14 p.
Publisher
University of Anbar College of Engineering
Publication Date
2017-12-31
Country of Publication
Iraq
No. of Pages
14
Main Subjects
Information Technology and Computer Science
Abstract EN
Particle Swarm Optimization Algorithm (PSOA) has emerged recently as an efficient and powerful technique for the optimization of real parameters.
The current study presents control scheme for electro-hydraulic actuator system which utilizes particle swarm optimization (PSO) for off-line tuning of the Fuzzy Proportional-Derivative (Fuzzy PD) controller.
The gains and Membership Functions (MFs) tuned by PSOA which has been implemented depending on the performance indices: ITAE (Integral Time of Absolute Error), ISE (Integral Square of Error), and IAE (Integral Absolute of Error).
American Psychological Association (APA)
Abd Allah, Zaki Majid. 2017. Fuzzy controller parameters optimization based particle swarm optimization algorithm for electro-hydraulic system. Anbar Journal for Engineering Sciences،Vol. 7, no. 2, pp.120-133.
https://search.emarefa.net/detail/BIM-937247
Modern Language Association (MLA)
Abd Allah, Zaki Majid. Fuzzy controller parameters optimization based particle swarm optimization algorithm for electro-hydraulic system. Anbar Journal for Engineering Sciences Vol. 7, no. 2 (2017), pp.120-133.
https://search.emarefa.net/detail/BIM-937247
American Medical Association (AMA)
Abd Allah, Zaki Majid. Fuzzy controller parameters optimization based particle swarm optimization algorithm for electro-hydraulic system. Anbar Journal for Engineering Sciences. 2017. Vol. 7, no. 2, pp.120-133.
https://search.emarefa.net/detail/BIM-937247
Data Type
Journal Articles
Language
English
Notes
Record ID
BIM-937247