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Reduced Order Robust Gain‐Scheduling Control Of The Diesel Apu For Series Hybrid Vehicles
Author(s) -
He Bin,
Ouyang Minggao,
Li Jianqiu
Publication year - 2006
Publication title -
asian journal of control
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.769
H-Index - 53
eISSN - 1934-6093
pISSN - 1561-8625
DOI - 10.1111/j.1934-6093.2006.tb00274.x
Subject(s) - control theory (sociology) , gain scheduling , parametric statistics , computation , scheduling (production processes) , robust control , nonlinear system , linear matrix inequality , controller (irrigation) , engineering , control engineering , diesel fuel , mathematical optimization , computer science , control system , mathematics , control (management) , algorithm , automotive engineering , electrical engineering , biology , agronomy , statistics , physics , quantum mechanics , artificial intelligence
ABSTRACT This paper presents a reduced order robust gain‐scheduling approach for the control of the diesel auxiliary power unit (APU) for series hybrid vehicles. The nonlinear plant dynamics are converted into a linear parameter‐varying (LPV) form with parametric uncertainties, in which only partial information of the plant states is available. For this type of LPV system, a new reduced order robust gain‐scheduling synthesis method is proposed based on partial state feedback. The parametric uncertainties are considered using multipliers to reduce the conservatism. The reduced order synthesis problem is solved offline by means of linear matrix inequalities (LMIs), and the synthesis result requires much simpler online computation than the explicit controller formulas do. The synthesis method is applied to the diesel APU controller design, and simulation results are given to demonstrate the controller performance.