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.
G. K. Venayagamoorthy et al., "An Industrial Food Processing Plant Automation using a Hybrid of PI and Fuzzy Logic Control," Proceedings of the 12th IEEE International Conference on Fuzzy Systems, 2003. FUZZ '03, Institute of Electrical and Electronics Engineers (IEEE), Jan 2003.
The definitive version is available at https://doi.org/10.1109/FUZZ.2003.1206578
12th IEEE International Conference on Fuzzy Systems, 2003. FUZZ '03
Electrical and Computer Engineering
Keywords and Phrases
PI Controllers; Food Processing Industry; Food Processing Plant; Fuzzy Control; Fuzzy Logic; Fuzzy Logic Control; Hybrid Controllers; Industrial Automation; Nonlinear Control Systems; Nonlinear Controllers; Plant Response; Pressure Control; Pressure Controllers; Simulation; Temperature Control; Temperature Controllers; Two-Term Control
Article - Conference proceedings
© 2003 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.
01 Jan 2003