PMSM PI Current Controller Tuning Using Structurally Constrain LQR LMI Criteria for MIMO Plants

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26620%2F18%3APU130490" target="_blank" >RIV/00216305:26620/18:PU130490 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
PMSM PI Current Controller Tuning Using Structurally Constrain LQR LMI Criteria for MIMO Plants
Original language description
In this paper the convex optimization technique is proposed for parameter tuning of a PI controller. Presented non-iterative two step procedure is able to optimize the coefficients of a structured output feedback matrix using the LQR cost function. It is also shown that the matrix coefficients can be linked to PI controller parameters simply by extending the state space model of the plant. The capability of this method to optimize controllers for MIMO plants is demonstrated on current control of the real PMSM.
Czech name
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Czech description
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Project
<a href="/en/project/TE01020197" target="_blank" >TE01020197: Centre for Applied Cybernetics 3</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of 4th IEEE Southern Power Electronics Conference, SPEC 2018
ISBN
978-1-5386-8257-9
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
447-452
Publisher name
Neuveden
Place of publication
Neuveden
Event location
Singapore
Event date
Dec 10, 2018
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000462373200008

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