Premium
Generalized predictive control for improving intersample performance
Author(s) -
Sato Takao,
MasudaMember Shiro
Publication year - 2007
Publication title -
ieej transactions on electrical and electronic engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.254
H-Index - 30
eISSN - 1931-4981
pISSN - 1931-4973
DOI - 10.1002/tee.20217
Subject(s) - benchmark (surveying) , model predictive control , controller (irrigation) , control theory (sociology) , discrete time and continuous time , function (biology) , control (management) , computer science , control engineering , engineering , mathematics , artificial intelligence , statistics , geodesy , evolutionary biology , agronomy , biology , geography
Abstract This paper proposes a design method of the Generalized Predictive Control (GPC) strategy which can take account of intersample behavior as well as sampled behavior. To this end, a discrete‐time equivalent plant model and cost function for a continuous‐time plant incorporated with zero‐order hold and discrete‐time controller are derived, and the modified discrete‐time GPC is designed. To verify the effectiveness of our proposed method, the controller is applied to a benchmark problem of a hard‐disk drive. Copyright © 2007 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.