Abstract
This paper presents an on-line optimal control system of particles cooling process in fluidised bed. First, the characteristics of on-line electric-resistent type moisture sensor has been investigated for the direct feedback of controlled variables. Second, the multivariable control systems were constructed for the case that measured variables are coincident with the output ones to be controlled and the sampling interval is long. LQI and decoupling PID control approaches are applied to both temperature and moisture control of the foundry sand discharged from fluidised bed. Thirdly, the observer theory was applied to multivariable control systems for the case that measured variables are not coincident with the controlled variables and the sampling interval is short. Finally, a series of control experiments have been conducted to compare the usefulness of several control system used in this paper, and an optimal on-line control system has been proposed.
