Design of Automatic Dough Feeder Control System on Modified Cassava Flour-based Noodle Extrusion using Fuzzy Logic Controller

Production of modified cassava flour-based noodle has been explored through the extrusion process, revealing challenges associated with the unstable feeding rate of dough. This inconsistency has led to fluctuations in motor load, affecting the throughput and quality of the noodles, with adverse effects such as potential jams and motor damage. To address these issues, this research focuses on designing an automatic dough feeder with a Fuzzy Logic Controller (FLC) to regulate the feeding rate to an extruder. The controller utilizes motor current errors and their rates of change as inputs to adjust the rotational speed of the dough feeder motor. The design and simulation of the FLC were conducted using Matlab's toolbox, enabling precise control over the feeding process. Results indicate that the FLC effectively stabilizes the feeding rate, thus improving both the production efficiency and the quality of the noodles. This study contributes valuable insights into the implementation of fuzzy logic controls in food processing machinery, particularly for modified cassava flour applications, paving the way for enhanced automation and product quality in noodle production.