Mathematical Problems in Engineering
Volume 2012 (2012), Article ID 584376, 12 pages
http://dx.doi.org/10.1155/2012/584376
Research Article

Model Predictive Control of the Grain Drying Process

Feng Han,1 Chuncheng Zuo,1 Wenfu Wu,2 Junxing Li,3 and Zhe Liu4

1College of Mechanical Science and Engineering, Jilin University, Changchun 130022, China
2College of Biological & Agricultural Engineering, Jilin University, Changchun 130022, China
3Institute of Grain Machinery Research, Jilin Academy of Agricultural Machinery, Changchun 130022, China
4The College of Engineering and Technology, Jilin Agricultural University, Changchun 130118, China

Received 15 March 2012; Revised 10 June 2012; Accepted 10 June 2012

Academic Editor: Zhonghua Wu

Copyright © 2012 Feng Han et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Drying plays an important role in the postharvesting process of grain. To ensure the quality of the dried grain and improve the intelligent level in drying process, a digital simulation of corn drying machine system based on a virtual instrument was established for 5HSZ dryer, automatically control the air temperature, and predict the discharging speed of grain and so forth. Finally, an online measurement and automated control software of grain parameters were developed to provide the changes of moisture, temperature, humidity, and germination rate in the process of drying. The study carried out in the actual processing showed that it can meet the requirements of the actual drying operation, effectively control the stability of the grain moisture, and keep the dry food quality.