Intelligent Control System for Cleaning Process in Sugar Refinery

The cleaning process (CP) is an important step in sugar refinery. This paper presented an intelligent optimization control system (IOCS) to implement the modeling, optimization, and control of the CP by improved back-propagation neural networks, c-means clustering, genetic and chaos approaches. The results of actual runs demonstrate the validity of the system.