Optimization and Coordination of HAFDV PINN Control by Improved PSO
Joint Authors
Huang, Wentao
Tai, Nengling
Huang, Bin
Source
Journal of Control Science and Engineering
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-03-06
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Electronic engineering
Information Technology and Computer Science
Abstract EN
The new hybrid active filter (HAF) is composed of the larger-capacity passive filter banks and the smaller-capacity active filter.
It is difficult to tune the parameters of a PI controller using the DC capacitor voltage control.
In this paper, the improved particle swarm optimization (improved PSO) algorithm is proposed to solve the coordinated design problem, and the neural network weights as the particle swarm optimization are adopted to optimize the system parameters.
Comparing with the conventional PI controller, the results of PINN controller prove the effectiveness of designed method on both the transient and steady-state performance of the hybrid active filter DC bus voltage (HAFDV) controllers.
American Psychological Association (APA)
Huang, Bin& Tai, Nengling& Huang, Wentao. 2013. Optimization and Coordination of HAFDV PINN Control by Improved PSO. Journal of Control Science and Engineering،Vol. 2013, no. 2013, pp.1-7.
https://search.emarefa.net/detail/BIM-505129
Modern Language Association (MLA)
Huang, Bin…[et al.]. Optimization and Coordination of HAFDV PINN Control by Improved PSO. Journal of Control Science and Engineering No. 2013 (2013), pp.1-7.
https://search.emarefa.net/detail/BIM-505129
American Medical Association (AMA)
Huang, Bin& Tai, Nengling& Huang, Wentao. Optimization and Coordination of HAFDV PINN Control by Improved PSO. Journal of Control Science and Engineering. 2013. Vol. 2013, no. 2013, pp.1-7.
https://search.emarefa.net/detail/BIM-505129
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-505129