Intelligence Predictive Control Study on Lime Rotary Kiln Temperature

Article Preview

Abstract:

For the non-linearity, large time lag characters of rotary kiln, we use intelligent predictive control method to control it. The prediction model, scrolling optimization and feedback adjustment are ultimate constituted the predictive control system each part. Gas flow measurement is used to realize rotary kiln`s temperature predictive control,and took NN-Model as prediction model to realize the intelligent forecast. The results of simulation show that this method has better stability and robustness than the traditional control method.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

848-851

Citation:

Online since:

August 2013

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Mohammadzaheri, Morteza; Chen, Lei. Intelligent Predictive Control of A Model Helicopter's Yaw Angle [J]. Asian Journal of Control, Vol 12(6) (2010), pp.667-679.

DOI: 10.1002/asjc.243

Google Scholar

[2] Cao,Y.; Seyab R.K.A. Nonlinear model predictive control for the ALSTOM gasifier[J]. Journal of Process Control, Vol 16(8) (2006), pp.795-808.

DOI: 10.1016/j.jprocont.2006.03.003

Google Scholar

[3] Sadeghassadi, Mahsa; Fatehi, Alireza; Sedigh, Ali Khaki. On the Structural Optimization of a Neural Network Model Predictive Controller[J]. Industrial & Engineering Chemistry Research, Vol 52(1) (2013), pp.394-407.

DOI: 10.1021/ie201815r

Google Scholar

[4] Camacho, Eduardo F.; Bordons, Carlos. Nonlinear model predictive control: An introductory review[J]. Assessment and Future Directions of Nonlinear Model Predictive Control, Vol 358 (2007), pp.1-16.

DOI: 10.1007/978-3-540-72699-9_1

Google Scholar

[5] Ding, Baocang; Ping, Xubin. Dynamic Output Feedback Model Predictive Control for Nonlinear Systems Represented by Hammerstein-Wiener model [J]. Journal of Process Control, Vol 22(9) (2012), pp.1773-1784.

DOI: 10.1016/j.jprocont.2012.07.011

Google Scholar

[6] Lawrynczuk, Maciej; Tatjewski, Piotr. Nonlinear Predictive Control Based On Neural Multi-Models[J]. International Journal of Applied Mathematics and Computer Science. Vol 20(1) (2010), pp.7-21.

DOI: 10.2478/v10006-010-0001-y

Google Scholar