Intelligent control system design based on DRNN for wood drying kiln

This paper investigates the development and evaluation of a intelligent control system for a wood drying kiln process incorporating DRNN (Diagonal Recurrent Network) and proportional-integral-derivative (PID) control such that the moisture content of lumber will reach and be stabilized at the desired set point. A description of the dynamics of the wood drying process by means of the DRNN is also presented. Then this identified model is used for simulation purpose and controller design. For comparison purpose, a conventional PID controller is also employed and system performance is evaluated through simulations. The results are evaluated to tune the controller parameters to achieve good performance in the wood-drying kiln and the proposed strategy promises improved performance. The control system developed in this study may be applied in industrial wood-drying kilns, with a clear potential for improved quality and increased speed of drying.