Continuous-#ow grain drying is a non-linear process with a long delay; it is often subjected to large disturbances, and therefore is di$cult to control. In this paper, a new model-predictive control system for cross#ow dryers is presented. The controller uses a recently developed distributed paramet
PH—Postharvest Technology: Automatic Control of Crossflow Grain Dryers, Part 1: Development of a Process Model
✍ Scribed by Qiang Liu; F.W. Bakker-Arkema
- Publisher
- Elsevier Science
- Year
- 2001
- Tongue
- English
- Weight
- 256 KB
- Volume
- 80
- Category
- Article
- ISSN
- 0021-8634
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✦ Synopsis
The grain drying process is di$cult to control because of its non-linearity and long delay. In this series of three papers, a model-predictive controller specially designed for the grain drying process is presented. Part 1 describes the development of a distributed-parameter process model based on the fundamental laws of simultaneous heat and mass transfer. The model is simpler than the general-purpose grain drying model; but it is more comprehensive and better in representing the non-linearity of the process than previously developed lumped parameter process models, and therefore is the preferred choice as the process model in a dryer controller. The control algorithm and "eld testing of the controller are covered in Parts 2 and 3, respectively.
📜 SIMILAR VOLUMES
In Part 3 of the paper on automatic control of cross#ow grain dryers, the "eld testing of newly developed model-predictive controller is described. The system showed excellence in accuracy, stability and robustness. The moisture content of maize was controlled to be within $0)7% w.b. of the moisture