Parameters Online Detection and Model Predictive Control during the Grain Drying Process. (13th June 2013)

• Record Type: Journal Article
• Authors: Zhang, Lihui; Cui, Helei; Li, Hongli; Han, Feng; Zhang, Yaqiu; Wu, Wenfu
• Other Names: Xie Shane Academic Editor.
• Is Part Of: Mathematical problems in engineering. Volume 2013(2013)
• Publication Date: 2013-06-13
• Subjects: Engineering mathematics -- Periodicals; 510.2462
• DOI: 10.1155/2013/924698
• Languages: English
• ISSNs: 1024-123X

Abstract

Abstract : In order to improve the grain drying quality and automation level, combined with the structural characteristics of the cross-flow circulation grain dryer designed and developed by us, the temperature, moisture, and other parameters measuring sensors were placed on the dryer, to achieve online automatic detection of process parameters during the grain drying process. A drying model predictive control system was set up. A grain dry predictive control model at constant velocity and variable temperature was established, in which the entire process was dried at constant velocity (i.e., precipitation rate per hour is a constant) and variable temperature. Combining PC with PLC, and based on LabVIEW, a system control platform was designed.