June 2002

Special Report: Process/Plant Optimization

New approach to real-time optimization using neural networks and fuzzy logic

The main advantages are simpler models and reduced computation time

Real-time optimization in a process industry is an application normally supported by rigorous models based on physical-chemical equations. A new approach using neural network and fuzzy logic technologies in real-time applications is presented. Also featured is a methodology to adapt a neural network and fuzzy logic process model to an actual process condition. Results shown confirm the accuracy that the proposed methodology can achieve. The method was tested using actual data from a Petrobras / Regap atmospheric and vacuum distillation unit. An online simulator based on artificial neural network and fuzzy logic technologie

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