An Industrial Food Processing Plant Automation using a Hybrid of PI and Fuzzy Logic Control

Ganesh K. Venayagamoorthy, Missouri University of Science and Technology
D. Naidoo
P. Govender

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An industrial food processing plant consisting of nonlinear dynamics requires pressure and temperature controllers to be nonlinear. In this paper, nonlinear controllers are designed using fuzzy logic to augment the conventional pressure and temperature PI controllers for an industrial food processing plant. Simulation results are presented to show improvement in the plant response with the hybrid controllers.