APPLYLING SMITH PREDICTOR CONTROL METHOD TO IMPROVE THE PERFORMANCE OF THE HEAT TRANSFER PROCESS IN BEER PRODUCTION LINE

Abstract

Industrial cookers are popular heat transfer instruments in food industry, especially in beer production lines. They provide malt extract at standard temperature to conical fermenter tanks and beer filling systems. The heat transfer process in industrial cookers is non-linear process, especially in rice cooker. This paper presents the process to modeling this object, applying Smith Predictor control method combined with internal model controller-IMC to improve the performance and stability of the control system. As a result, the quality of the heat transfer process in industrial cookers is improved and the quality of beer is also improved.