A Modified RBF Neuro-Sliding Mode Control Technique for a Grid Connected PMSG Based Variable Speed Wind Energy Conversion System
Joint Authors
Kenne, Godpromesse
Simo Fotso, Armel
Douanla, Rostand Marc
Pelap, François Béceau
Source
Journal of Control Science and Engineering
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-19, 19 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-10-01
Country of Publication
Egypt
No. of Pages
19
Main Subjects
Electronic engineering
Information Technology and Computer Science
Abstract EN
A modified control scheme based on the combination of online trained neural network and sliding mode techniques is proposed to enhance maximum power extraction for a grid connected permanent magnet synchronous generator (PMSG) wind turbine system.
The proposed control method does not need the knowledge of the uncertainty bounds nor the exact model of the nonlinear system.
Since the neural network is trained online, the time to estimate good weights can affect the dynamic performance of the process during the startup phase.
Therefore an appropriate way to smoothly and explicitly accelerate the neural network rate of convergence during the startup phase is proposed.
Furthermore, a flexible grid side voltage source converter control structure which can handle both grid connected and standalone modes based on conventional proportional integral (PI) control method is presented.
Simulations are done in Matlab/Simulink environment to verify the effectiveness and assess the performance of the proposed controller.
The results analysis shows the superiority of the proposed RBF neuro-sliding mode controller compared to a nonlinear controller based on sliding mode control method when the system undergoes parameter uncertainties.
American Psychological Association (APA)
Douanla, Rostand Marc& Kenne, Godpromesse& Pelap, François Béceau& Simo Fotso, Armel. 2018. A Modified RBF Neuro-Sliding Mode Control Technique for a Grid Connected PMSG Based Variable Speed Wind Energy Conversion System. Journal of Control Science and Engineering،Vol. 2018, no. 2018, pp.1-19.
https://search.emarefa.net/detail/BIM-1182881
Modern Language Association (MLA)
Douanla, Rostand Marc…[et al.]. A Modified RBF Neuro-Sliding Mode Control Technique for a Grid Connected PMSG Based Variable Speed Wind Energy Conversion System. Journal of Control Science and Engineering No. 2018 (2018), pp.1-19.
https://search.emarefa.net/detail/BIM-1182881
American Medical Association (AMA)
Douanla, Rostand Marc& Kenne, Godpromesse& Pelap, François Béceau& Simo Fotso, Armel. A Modified RBF Neuro-Sliding Mode Control Technique for a Grid Connected PMSG Based Variable Speed Wind Energy Conversion System. Journal of Control Science and Engineering. 2018. Vol. 2018, no. 2018, pp.1-19.
https://search.emarefa.net/detail/BIM-1182881
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1182881