Fuzzy logic controller for crude oil levels at Escravos Tank Farm

Abstract

Fuzzy logic controller (FLC) for crude oil flow rates and tank levels was designed for monitoring flow and tank level management at Escravos Tank Farm in Nigeria. The fuzzy control system incorporated essence of expert knowledge required to handle the tasks. Proportional Integral Derivative (PID) control of crude flow rates and levels was also investigated, and the performance compared with the FLC and hybrid FLC/PID control by using rise time and settling time as system parameters. The FLC provided the best system management when compar-ed with PID and FLC/PID controls.