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Optimal regional pole placement for sun tracking control of high‐concentration photovoltaic (HCPV) systems: case study
Author(s) -
Yung CheeFai,
Yeh HongYih,
Lee ChengDar,
Wu JenqLang,
Zhou PeiChang,
Feng JiaCian,
Wang HongXun,
Peng ShengJin
Publication year - 2010
Publication title -
optimal control applications and methods
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.458
H-Index - 44
eISSN - 1099-1514
pISSN - 0143-2087
DOI - 10.1002/oca.971
Subject(s) - photovoltaic system , linear quadratic gaussian control , control theory (sociology) , constraint (computer aided design) , controller (irrigation) , convex optimization , minification , tracking (education) , optimal projection equations , optimal control , mathematical optimization , control (management) , regular polygon , computer science , function (biology) , optimization problem , mathematics , engineering , psychology , agronomy , pedagogy , geometry , artificial intelligence , evolutionary biology , electrical engineering , biology
This paper proposes an optimal regional pole placement approach for sun tracking control of high‐concentration photovoltaic systems. A static output feedback controller is designed to minimize an LQG cost function with a sector region pole constraint. The problem cannot be solved by LMI approach since it is a non‐convex optimization problem. Based on the barrier method, we instead solve an auxiliary minimization problem to obtain an approximate solution. Simulation results show the benefit of our approach. Copyright © 2010 John Wiley & Sons, Ltd.
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