Design of Controller to Evaluate Optimal Chemical Ratio in Starch Modification Process

Abstract

In modern times, the modified starch industry uses chemical modification process which involves physical monitoring and labor-intensive addition of chemicals with native starch. So, chemical modification process needs exact calculation of chemical proportion to be mixed with the native starch according to the applications of industrial requirements. In order to reduce the physical error during manual mixing of chemicals and monitor the environmental safety of chemicals, it is important to design a controller to calculate the proper ratio of chemicals blend up with the native starch for the application of modified starch to manufacture paper, and cones in paper industry. The mamdani fuzzy logic controller (FLC) model was designed to meet the modified starch process in paper industry applications. The simulation result shows that maximum error obtained is found to be 50% in base region, 12.5% in neutral region and 15% in acid region in predicting the chemical ratio using FLC. Hence in future genetic algorithm is used to tune the fuzzy logic controller.

Keywords: Native starch, modified starch, fuzzy logic controller, genetic algorithm tuned fuzzy logic controller

Cite this Article

Kalaaranjini V, Madhan Mohan M. Design of Controller to Evaluate Optimal Chemical Ratio in Starch Modification Process. Current Trends in Information Technology. 2016; 6(1):15–19p.