Parameters Online Detection and Model Predictive Control during the Grain Drying Process

Lihui Zhang, Helei Cui, Hongli Li, Feng Han, Yaqiu Zhang and Wenfu Wu

Mathematical Problems in Engineering, 2013, vol. 2013, 1-7

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.

Date: 2013
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlmpe:924698

DOI: 10.1155/2013/924698

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