DocumentCode
2108335
Title
Application of delta-operator generalized predictive control
Author
Neumann, Robert ; Dumur, D. ; Boucher, P.
Author_Institution
Inst. fur Regelungstech. und Prozessautom., Stuttgart Univ., Germany
fYear
1993
fDate
15-17 Dec 1993
Firstpage
2499
Abstract
This paper presents a study of stability and an application of a discrete time generalized predictive controller version using the delta operator, called DGPC. From the basic GPC algorithm elaborated by Clarke et al., the delta operator is introduced here to overcome numerical problems which appear in oversampled discrete time models. After an introduction giving the motivation for the use of the δ operator, a first part reminds the algorithmic version of DGPC. A polynomial approach of the DGPC controller is then presented using transfer functions, with the advantages of a quicker real time computation and the possibility of a stability analysis. At the end the equivalent polynomial controller is synthesized and some results obtained on an industrial a.c. motor are given
Keywords
control system synthesis; discrete time systems; predictive control; stability; transfer functions; δ operator; delta-operator generalized predictive control; discrete time generalized predictive controller; industrial AC motor; oversampled discrete time models; stability; stability analysis; transfer functions; Error correction; Industrial control; Numerical models; Optimal control; Polynomials; Predictive control; Sampling methods; Signal processing algorithms; Stability; Transfer functions;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control, 1993., Proceedings of the 32nd IEEE Conference on
Conference_Location
San Antonio, TX
Print_ISBN
0-7803-1298-8
Type
conf
DOI
10.1109/CDC.1993.325646
Filename
325646
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