A Model Reference-based Fuzzy Adaptive Pi Controller for Non-linear Level Process System

This paper proposes a model reference tracking based fuzzy adaptive PI (MRFAPI) controller for non-linear process plant. The second order reference model is proposed for the system. The conical-tank level process system is used as a process plant. The proposed MRFAPI controller is combined with fuzzy logic and conventional variable PI controllers. The on-line estimation of the controller parameters is based on the error between reference model and time-varying parameter of the process plant. The model of the process plant is formulated based on the real laboratory-scale system and the control of the process plant is alone using MATLAB simulink. The controller can produce the appropriate control signals to control the plant in presence of plant nonlinearity, disturbance and measurement noise.