Title :
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
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;
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
DOI :
10.1109/CCDC.2009.5191570
