Digital Controller Design via LMIs for Direct-Driven Surface Mounted PMSG-Based Wind Energy Conversion System

The main concern of this paper is to design the efficient sampled-data controller scheme that resolves the stabilization issue of a surface-mounted permanent magnet synchronous generator (PMSG)-based wind energy conversion system (WECS). Distinct to the existing controller schemes on WECS, the prese...

Full description

Saved in:
Bibliographic Details
Published in:IEEE transactions on cybernetics 2020-07, Vol.50 (7), p.3056-3067
Main Authors: Mani, Prakash, Lee, Jang-Ho, Kang, Ki-Weon, Joo, Young Hoon
Format: Article
Language:English
Subjects:
Analytical models
Closed loop systems
Control systems design
Controllers
Design
Dynamic stability
Energy conversion
Feedback control
Generators
Linear matrix inequalities
Linear matrix inequalities (LMIs)
Mathematical analysis
Mathematical model
Numerical models
permanent magnet synchronous generator (PMSG)
Permanent magnets
sampled-data control
Stability analysis
Takagi–Sugeno (T–S) fuzzy
Wind energy
Wind power
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:The main concern of this paper is to design the efficient sampled-data controller scheme that resolves the stabilization issue of a surface-mounted permanent magnet synchronous generator (PMSG)-based wind energy conversion system (WECS). Distinct to the existing controller schemes on WECS, the present scheme contains both continuous (plant) and discrete (control) type of signals which outperforms the traditional scheme with continuous or discrete signals. Besides that the fundamental analysis of the closed-loop system under the designed controllers explore the dynamical characteristics of the considered PMSG-based WECS. The stability and stabilization of the proposed closed-loop system have guaranteed through the Lyapunov stability theory and solvable linear matrix inequalities (LMIs). In detail, first, the nonlinear PMSG model has equivalently expressed into linear submodels via the Takagi-Sugeno (T-S) fuzzy approach based on suitable membership rules. Second, the sufficient conditions have been derived as LMIs that ensure the stability and stabilization of the formulated T-S fuzzy PMSG-based WECS. Finally, the effectiveness of the designed controller as well as the consistency of sufficient conditions has demonstrated through numerical evaluations of the closed-loop system.
ISSN:2168-2267
2168-2275
DOI:10.1109/TCYB.2019.2923775