Model Predictive Control of the Grain Drying Process
Joint Authors
Wu, Wen-Fu
Han, Feng
Zuo, Chuncheng
Li, Junxing
Liu, Zhe
Source
Mathematical Problems in Engineering
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-08-08
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Han, Feng& Zuo, Chuncheng& Wu, Wen-Fu& Li, Junxing& Liu, Zhe. 2012. Model Predictive Control of the Grain Drying Process. Mathematical Problems in Engineering،Vol. 2012, no. 2012, pp.1-12.
https://search.emarefa.net/detail/BIM-1029631
Modern Language Association (MLA)
Han, Feng…[et al.]. Model Predictive Control of the Grain Drying Process. Mathematical Problems in Engineering No. 2012 (2012), pp.1-12.
https://search.emarefa.net/detail/BIM-1029631
American Medical Association (AMA)
Han, Feng& Zuo, Chuncheng& Wu, Wen-Fu& Li, Junxing& Liu, Zhe. Model Predictive Control of the Grain Drying Process. Mathematical Problems in Engineering. 2012. Vol. 2012, no. 2012, pp.1-12.
https://search.emarefa.net/detail/BIM-1029631
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1029631