Dynamic soft-sensor based on finite impulse response model for dual-rate system

Author

Cong Chen ; Mo, Shengyong ; Chen, Cong

Author_Institution

Dept. of Control Sci. & Eng., Zhejiang Univ., Hangzhou, China

fYear

2009

fDate

17-19 June 2009

Firstpage

2173

Lastpage

2178

Abstract

In dual-rate sampling systems, variables which represent product quality are infrequently and irregularly sampled. Often, the intersample behavior of these quality variables can be inferred from manipulated variables and other process variables which are measured frequently. Using the finite impulse response (FIR) model, a dynamic soft-sensor based on output error (OE) method is developed to predict the immeasurable outputs of the quality variables. In this paper, we present such a dynamic soft-sensing method based on dual-rate data. The performance is also verified through a simulation example and industrial case study.

Keywords

inference mechanisms; modelling; sampled data systems; dual-rate data; dual-rate sampling system; dynamic soft-sensor; finite impulse response model; intersample behavior; manipulated variable; output error method; process variable; product quality; quality variable; Additive noise; Electronic mail; Finite impulse response filter; Industrial control; Interpolation; Laboratories; Manipulator dynamics; Predictive models; Sampling methods; System identification; Dual-rate System; Dynamic Soft-sensor; Finite Impulse Response; Output Error Method;

fLanguage

English

Publisher

ieee

Conference_Titel

Control and Decision Conference, 2009. CCDC '09. Chinese

Conference_Location

Guilin

Print_ISBN

978-1-4244-2722-2

Electronic_ISBN

978-1-4244-2723-9

Type

conf

DOI

10.1109/CCDC.2009.5191570

Filename

5191570