Rotary Dryer

Drying, especially rotary drying , is undoubtedly one of the oldest and most common
unit operations in process industries. Rotary dryers are workhorses that are easy
and reliable to operate, but neither the efficiency nor ecological. For
better adapt to the demands of modern society on the working conditions,
safety practices and environmental aspects, development of monitoring systems can
provide opportunities to improve dryer operation and efficiency.
Our knowledge of Rotary drying is poor, because it is very complex
process that includes the movement of solids plus thermal drying. Thus even
Rotary kilns are now partially controlled manually, depending on the operator! s! ± eye! ± a
experience, and partly based on classical control methods. The control of a rotary
dry is difficult because of long delays, which means that the variation in
input variables can affect the process for long periods of time before they find
the output variables. To eliminate these disturbances at an early stage, increased
Interest has been shown in several sophisticated control systems such as model-based
constructions, fuzzy logic and neural networks in recent years. Although it has been difficult
and time to develop control systems based model, because of the complexity of
the process, intelligent control methods based on fuzzy logic and neural networks offer
attractive solutions to improve the control dry. These methods use
experience, knowledge and historical data, large quantities are readily available.
The objective of this research was to improve control in dry development of new hybrids
control systems, one composed of a fuzzy logic controller (FLC) and PI controller andthe other a neural network with three layers (NN) and a PI controller. The act that FLC and NN
controllers providing control setpoints for the PI controllers. The performance of each
has been examined with simulations and experiments the pilot plant. The pilot plant dryer
University of Oulu is much like a real industrial situation, so that the results
relevant. The evaluation of these results showed that the hybrid intelligent controllers are
well suited for the control of a rotary kiln , which gives a performance in which the perturbations
can be eliminated quickly and the operation of the dryer and can be improved with
to strengthen its effectiveness and environmental friendliness.