The mathematical model of grain drying process is an important basis for grain drying equipment design, automatic control of drying operation and optimization of drying process. Continuous drying is one of the most widely used forms of grain drying, In the drying process, there are many factors that affect the water content of the machine, such as food temperature, food humidity, hot air wind speed, the initial moisture into the food. It is very important to realize the automatic control of the grain dryer, to ensure the uniformity of the food moisture, dry grain quality, reduce the labor intensity of the operator and give full play to the dryer production capacity is of great significance. In this paper, the accumulated temperature control model of corn is put forward, and the rate of grain discharge dryer is determined by the accumulated temperature value to control the water content of grain. The experimental results show that the mathematical model of the accumulated temperature can be used for the automatic control of the continuous dryer. The accumulated temperature can effectively control the drying process and can meet the requirements of the operation. It has the characteristics of simple algorithm, fast response and overcoming the influence of the same lag on the measurement and control.
[1]
Qiang Liu,et al.
A model-predictive controller for grain drying
,
2001
.
[2]
Pascal Dufour,et al.
On nonlinear distributed parameter model predictive control strategy: on-line calculation time reduction and application to an experimental drying process
,
2003,
Comput. Chem. Eng..
[3]
Helge Didriksen,et al.
Model based predictive control of a rotary dryer
,
2002
.
[4]
Qiang Liu,et al.
PH—Postharvest Technology: Automatic Control of Crossflow Grain Dryers, Part 1: Development of a Process Model
,
2001
.