THE EFFECT OF SOME FACTORS ON DOCYNIA INDICA WINE FERMENTATION PROCESS
Abstract
In this work, we propose a new method able to find fuzzy IF-THEN rules from input output observations based on hedge algebras and apply this method to the Fan & Plate control problem (model PP 200). In fact, hedge algebras-based controller (HAC). formulated on the basis of human knowledge about the process or identified from measured control action, can be regarded as an emulator of human operator. The simulation shows that the HAC can successfully control the plate angle of the model PP 200 to the desired position. We do not claim to have obtained optimal controller in any of the cases, however, the method is effective for removing inconsistency and redundancy in the process of assembling fuzzy rules. Furthermore, this new approach is simple even if the number of state variables is large.