Application Research Of Predictive Control In Beer Fermentation Temperature Control

In the petroleum, chemical, beer fermentation and some other complex industrial processes, time delay and time-varying are often a kind of inevitable problems. It is not easy to achieve satisfactory control effect using conventional control algorithms such as PID control algorithm at the time-delay systems. Beer fermentation process produces heat, and the temperature is an important factor in this process. Temperature control is directly related to the quality and taste of the beer. However, the temperature object of beer fermentation has the typical characteristics of time-delay and time-varying uncertainty. In this context, through the tireless research of many scholars, the improved PID algorithm has been proposed. In addition to PID control, some advanced intelligent algorithms such as fuzzy control, neural control, adaptive control and robust control also gradually developed and are widely used, and these algorithms lay the foundation for the development of predictive control. So the model of beer fermentation temperature is given as a target plant to apply the control strategy of dynamic matrix control algorithm. Based on the real small beer production device of the laboratory, the main work content is as follows:For beer fermentation process requirements, we propose two kinds of cooling method for the fermenter broth. One way is by changing the opening size of the valve to regulate the flow of refrigerant. The other way is by changing the pump motor speed to control the alcohol refrigerant volume. Then several predictive control algorithms are introduced: Internal Model Control, Model Algorithmic Control and Dynamic Matrix Control. And we mainly do simulation research on dynamic matrix control algorithm including the step response under dynamic matrix control, the controller's output, and the error signal curves; the object's step response and the controller's output under different controller parameters mainly different optimization of time domain and control domain; the system's dynamic characteristic curve and the controller's output curve when the object's model mismatched. The simulation and the results proved that the strategy of this paper had a good performance on the beer fermentation temperature control.