Control Engineering in Drying Technology: Review and Trends

Abstract

This article aims at promoting cooperation between drying and control communities in the future. Indeed, with a review of 71 relevant publications all dealing with control aspects in drying, this article shows that the use of control tools really started to emerge in drying applications only since 1979. In a second phase started around 1998, new trends based on more advanced concepts have also appeared in drying control. This article clearly shows that control in drying is more and more a reality and that many opportunities exist to enhance industrial performance via efficient control of the operation.

Keywords:

• Controller
• Control strategy
• Costs
• Energy

Notes

Note. Underlined text: the most interesting advantage.

^a At least one of the following topics present in the paper: adaptive control, artificial neural network, genetic algorithm, inferential approach, nonlinear control, state feedback control, sliding mode control, Smith predictor.