2020
DOI: 10.1049/iet-epa.2019.0383
|View full text |Cite
|
Sign up to set email alerts
|

High‐performance control for a permanent‐magnet linear synchronous generator using state feedback control scheme plus grey wolf optimisation

Abstract: This study proposes an optimal control scheme for a permanent-magnet linear synchronous generator (PMLSG) using the state feedback control (SFC) method plus the grey wolf optimisation (GWO) algorithm. First, A novel state-space model of linear PMLSG is established in order to obtain desired dynamics and enough power when used for the smooth wave energy. Second, the GWO algorithm is adopted to acquire weighting matrices Q and R in the process of optimising linear quadratic regulator (LQR). What is more, a penal… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
2
0

Year Published

2020
2020
2024
2024

Publication Types

Select...
6

Relationship

0
6

Authors

Journals

citations
Cited by 15 publications
(2 citation statements)
references
References 30 publications
0
2
0
Order By: Relevance
“…Overview of research results on control and optimization of WECS. [1][2][3][4] WECS consists of multi-phase AC generators and voltage source converters [5][6][7][8] Use of AC generators in connection to VSCs for wave energy conversion [9][10][11][12] Models and operation principles of generators and converters in WECS [13][14][15][16] Performance of wave-to-grid configurations of wave energy conversion units [17][18][19][20] Approaches to optimal control and optimized configuration of WECS [21][22][23] Control of converters for synchronizing WECS with the electricity grid [24][25][26][27] Control of power generation and power storage in wave energy conversion [28][29][30][31][32] Control for ensuring uninterrupted and maximized power supply from WECS [33][34][35][36][37] Modeling and control for optimizing power generation from WECS [38][39][40] New methods for nonlinear control of renewable energy systems and WECS The motion of the moving part (mover) of the PMSLG is given by: 𝑀𝑧̈= −𝑏 𝑔 𝑧̇− 𝑏 𝜔 𝑧̇− 𝑘 𝑠 𝑧 + 𝐹 𝑒 + 𝐹 𝑏𝑟 (1) where 𝑏 𝑔 𝑧̇ is the friction force that resists the motion of the moving part of the tubular PMLSG, 𝑏 𝑤...…”
Section: Tablementioning
confidence: 99%
See 1 more Smart Citation
“…Overview of research results on control and optimization of WECS. [1][2][3][4] WECS consists of multi-phase AC generators and voltage source converters [5][6][7][8] Use of AC generators in connection to VSCs for wave energy conversion [9][10][11][12] Models and operation principles of generators and converters in WECS [13][14][15][16] Performance of wave-to-grid configurations of wave energy conversion units [17][18][19][20] Approaches to optimal control and optimized configuration of WECS [21][22][23] Control of converters for synchronizing WECS with the electricity grid [24][25][26][27] Control of power generation and power storage in wave energy conversion [28][29][30][31][32] Control for ensuring uninterrupted and maximized power supply from WECS [33][34][35][36][37] Modeling and control for optimizing power generation from WECS [38][39][40] New methods for nonlinear control of renewable energy systems and WECS The motion of the moving part (mover) of the PMSLG is given by: 𝑀𝑧̈= −𝑏 𝑔 𝑧̇− 𝑏 𝜔 𝑧̇− 𝑘 𝑠 𝑧 + 𝐹 𝑒 + 𝐹 𝑏𝑟 (1) where 𝑏 𝑔 𝑧̇ is the friction force that resists the motion of the moving part of the tubular PMLSG, 𝑏 𝑤...…”
Section: Tablementioning
confidence: 99%
“…Additionally, control of the integrated wave power generation systems, which comprise PMLSGs serially connected to VSCs, is a subtle task that should compensate for the complicated nonlinear dynamics and multivariable structure of these energy conversion units [24][25][26][27]. Among recent results in PMLSG and VSC-based wave power conversion systems, one can distinguish methods for maximizing the amount of wave power finally converted to exploitable electric power [28][29][30][31][32]. Several other results exist on the stabilization of WECs and on the VSC-based integration of these power units to the electricity grid [33][34][35][36][37].…”
Section: Introductionmentioning
confidence: 99%