DocumentCode :
696424
Title :
Awareness and its use in Plug and Play Process Control
Author :
Knudsen, Torben
Author_Institution :
Dept. of Electron. Syst., Aalborg Univ., Aalborg, Denmark
fYear :
2009
fDate :
23-26 Aug. 2009
Firstpage :
4078
Lastpage :
4083
Abstract :
Assume a existing control system needs a new sensor or actuator due to deterioration or unsatisfactory performance for other reasons. If such a new device can be implemented in a completely automated fashion it will be a very powerful tool. This is exactly the vision for the research project “Plug and Play Process Control” P3C. The first step is to get the device on the network. The next is to decide on if it is useful and if yes for what. Method to answer these questions are discussed and developed in this paper. The results are adaptive methods to estimate a correlation based “awareness”. These methods are successfully applied to a simulation experiment where control performance is improved. An estimate of the stochastic part of a system given the deterministic part is a necessary part of the above methods. In this paper, a prediction error method (PEM) with analytical gradient is developed for this problem.
Keywords :
identification; process control; state-space methods; P3C; PEM; incremental modelling; multiple input multiple output system; plug and play process control; prediction error method; state space model; system identification; Actuators; Correlation; Parameter estimation; Plugs; Process control; Stochastic processes; Incremental modelling; Model validation; Plug and play process control; System identification;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Conference (ECC), 2009 European
Conference_Location :
Budapest
Print_ISBN :
978-3-9524173-9-3
Type :
conf
Filename :
7075039
Link To Document :
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