Title :
Research on Dynamic Model of Preheater Based on RBF-ARX Model
Author :
Yuan, Zhugang ; Wang, Junjian
Author_Institution :
Sch. of Control Sci. & Eng., Univ. of Jinan, Jinan, China
Abstract :
Preheater has the characteristic of strongly nonlinear, large-lag, serious coupling, greatly disturbed etc. Building a dynamic model of preheater is very difficult. In this paper, the work principle of preheater was analyzed; some key parameters were selected, and preheater was described by a dynamic model which is based on RBF-ARX model. Emphasis is also put on the design of the structure of RBF-ARX model, identification, parameter optimization and so on. The results of simulation studies finally show the effectiveness of this dynamic model based on RBF-ARX.
Keywords :
autoregressive processes; heating; optimisation; radial basis function networks; RBF-ARX model; autoregressive processes; dynamic model; parameter optimization; preheater; radial basis function networks; Buildings; Couplings; Cyclones; Design optimization; Hybrid intelligent systems; Neural networks; Nonlinear control systems; Powders; Predictive models; Temperature; RBF-ARX model; dynamic model; preheater;
Conference_Titel :
Hybrid Intelligent Systems, 2009. HIS '09. Ninth International Conference on
Conference_Location :
Shenyang
Print_ISBN :
978-0-7695-3745-0
DOI :
10.1109/HIS.2009.144
