A Novel Control Algorithm Integrated RBFNN and Physical Model for Roller Kiln
This paper proposes a novel control strategy using an on-line dynamic switching mechanism for controlling the sintering process of ceramic roller kiln. The RBFNN is applied to extract key information such as temperature parameters and gas pressure, and send the prediction information to the controller of actuator. The mathematical model which based on physical and heat conduction theory is derived and the real-time controller scheme is designed to make the output temperature in the sintering area follow the temperature-curve accurately. To achieve excellent transient performance and steady-state response, an on-line switching mechanism is adopted to regulate the forecasting step size of the predictor appropriately according to the error between reference value and real temperature of the kiln. Additionally, this kind of method can control the temperature of kiln without accurate mathematical models for the kiln effectively. When the sintering operating condition is stable, it is a kind of effective control strategy for temperature of roller kiln.
L. Tang et al., "A Novel Control Algorithm Integrated RBFNN and Physical Model for Roller Kiln", Applied Mechanics and Materials, Vols. 29-32, pp. 1738-1743, 2010