Title :
An industrial food processing plant automation using a hybrid of PI and fuzzy logic control
Author :
Venayagamoorthy, G.K. ; Naidoo, D. ; Govender, P.
Author_Institution :
Dept. of Electr. & Comput. Eng., Missouri Univ., Columbia, MO, USA
Abstract :
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.
Keywords :
food processing industry; fuzzy control; fuzzy logic; nonlinear control systems; pressure control; temperature control; two-term control; PI controllers; food processing plant; fuzzy logic control; hybrid controllers; industrial automation; nonlinear controllers; plant response; pressure controllers; simulation; temperature controllers; Automatic control; Automation; Control systems; Food industry; Fuzzy logic; Industrial control; Nonlinear control systems; Pressure control; Temperature control; Valves;
Conference_Titel :
Fuzzy Systems, 2003. FUZZ '03. The 12th IEEE International Conference on
Print_ISBN :
0-7803-7810-5
DOI :
10.1109/FUZZ.2003.1206578