Cite this DOI
10.46243/jstj.2017.v2.i3.140 · Simulation and Controlling of Wind Energy System using ANN Controller
APA (7th edition)
Lakshmi, Y., & Saidaval, S. (2017). Simulation and Controlling of Wind Energy System using ANN Controller. *Journal of Science & Technology*, *02*(03), 34–40. https://doi.org/10.46243/jstj.2017.v2.i3.140
⬇ text Italics are shown as *asterisks* in plain text — the journal or book title and the volume.
BibTeX
@article{lakshmi2017simulation,
author = {Lakshmi, Y.Venkata and Saidaval, Shaik},
title = {{Simulation and Controlling of Wind Energy System using ANN Controller}},
journal = {Journal of Science \& Technology},
year = {2017},
month = {may},
volume = {02},
number = {03},
pages = {34--40},
publisher = {Longman Publishers},
issn = {2456-5660},
doi = {10.46243/jstj.2017.v2.i3.140},
url = {https://doi.org/10.46243/jstj.2017.v2.i3.140},
language = {en},
abstract = {This paper presents a comparative analysis of three control algorithms for a wind turbine generator using a variable speed permanent magnet synchronous generator (PMSG). The design methodologies of the conventional PI based controller, the Taylor series expansion linear approximation based (TSLA -based) controller and the feedback linearization based (FL -based) nonlinear controller are provided. The objective is to keep the wind turbine operating at its optimum rotor speed (MPPT control), while insuring the power transfer from the turbine to the generator, regardless of the wind speed. The controller gains of the nonlinear controller are determined via Linear Quadratic Opti mal Control (LQOC) approach. The results show a better control performance for the nonlinear controller. This performance is characterized by fast and smooth transient responses as well as a zero steady state error and reference tracking quality}
}RIS (EndNote, Zotero, Mendeley)
TY - JOUR TI - Simulation and Controlling of Wind Energy System using ANN Controller AU - Lakshmi, Y.Venkata AU - Saidaval, Shaik JO - Journal of Science & Technology PY - 2017 DA - 2017/05/09/ VL - 02 IS - 03 SP - 34 EP - 40 PB - Longman Publishers SN - 2456-5660 LA - en AB - This paper presents a comparative analysis of three control algorithms for a wind turbine generator using a variable speed permanent magnet synchronous generator (PMSG). The design methodologies of the conventional PI based controller, the Taylor series expansion linear approximation based (TSLA -based) controller and the feedback linearization based (FL -based) nonlinear controller are provided. The objective is to keep the wind turbine operating at its optimum rotor speed (MPPT control), while insuring the power transfer from the turbine to the generator, regardless of the wind speed. The controller gains of the nonlinear controller are determined via Linear Quadratic Opti mal Control (LQOC) approach. The results show a better control performance for the nonlinear controller. This performance is characterized by fast and smooth transient responses as well as a zero steady state error and reference tracking quality DO - 10.46243/jstj.2017.v2.i3.140 UR - https://doi.org/10.46243/jstj.2017.v2.i3.140 ER -
CSL-JSON
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"abstract": "This paper presents a comparative analysis of three control algorithms for a wind turbine generator using a variable speed permanent magnet synchronous generator (PMSG). The design methodologies of the conventional PI based controller, the Taylor series expansion linear approximation based (TSLA -based) controller and the feedback linearization based (FL -based) nonlinear controller are provided. The objective is to keep the wind turbine operating at its optimum rotor speed (MPPT control), while insuring the power transfer from the turbine to the generator, regardless of the wind speed. The controller gains of the nonlinear controller are determined via Linear Quadratic Opti mal Control (LQOC) approach. The results show a better control performance for the nonlinear controller. This performance is characterized by fast and smooth transient responses as well as a zero steady state error and reference tracking quality",
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} ⬇ .json What citeproc and reference managers read; the DOI system hands it out for Accept: application/vnd.citationstyles.csl+json, and so does this registry's resolver.
From the record as registered (version 2) — the record and its history. Programs: https://registry.smartscholars.in/api.php?action=cite&doi=10.46243%2Fjstj.2017.v2.i3.140 gives all four in one JSON answer.
