Robust Intelligent Valve Control in Noisy and Turbulent Fluid Environments Using Fuzzy Logic

Abstract

Turbulent fluid environments present difficulties for control valves, such as fluctuating flows and noisy sensor readings, which can cause wear and decreased accuracy. A fuzzy logic controller (FLC) for valve actuation that is naturally resilient to such uncertainties is suggested in this study. Even when sensors indicate noisy turbulence, the fuzzy controller produces smooth control signals using overlapping membership functions and IF-THEN rules. The fuzzy technique can better manage nonlinearities and disturbances than traditional PID control. The FLC maintains setpoints with fewer oscillations and valve chatter than a tuned PID, as demonstrated by simulation examples (such as flow control in a pipeline under pressure changes). We analyse how fuzzy smoothing reduces actuator wear by preventing jitter and offer implementation guidelines (sampling, normalisation and actuator restrictions). Fuzzy control produces tighter flow management and decreases error metrics under noise, according to the comparative data.