Dynamics Modelling and Control of a Fluidized Bed Dryer

Husk rice must be dry before any treatment in industrial processes. For food industries, to preserve the quality of materials, the temperature must remain in a specific domain. So, in this paper, control of the moisture content and temperature of the grains are studied. To this end, a mathematical model is used to shape the control algorithm. In addition, the linear model is prepared for the control process. High-passed Bessel filter, low-passed Butterworth filter, and Linear Quadratic Regulator (LQR) controllers are designed and compared to find the best control gain matrix for the dryer. Using a comprehensive simulation routine, the stated control methods are used to control the final moisture content and the temperature of husk rice grains. It is shown that the controller is able to control the process in about 50 minutes.