In this paper, we build up a Fuzzy Inference System (FIS) to support the operator working in cassava starch chemical modification process. The designed fuzzy logic controller considers four input parameters of cassava native starch pH, viscosity, temperature and moisture to evaluate three output chemical ratios of sodium hydroxide, hydrochloric acid and maleic anhydride or phthalic anhydride essential to mix with the native starch in modified starch manufacturing process. Sugeno fuzzy logic model designed, simulated and implemented in re-configurable FPGA architecture using system generator would load the necessary program to fire specific fuzzy rules according to the type of starch modification process, especially being used for manufacturing modified starches in the process of biodegradable plastic and tablet manufacturing applications.
Digital Object Identifier (DOI)
Madhan Mohan, M. and Vijayachitra, S.
"Reconfigurable Fuzzy for Cassava Starch Modification Process in Biodegradable Plastics and Pharmaceutical Applications,"
Applied Mathematics & Information Sciences: Vol. 13
, Article 8.
Available at: https://dc.naturalspublishing.com/amis/vol13/iss4/8