Fuzzy Backstepping Control of Industrial Liquid Level System

This paper presents a fuzzy backstepping controller design to improve the control performance of GUNT RT 512 industrial liquid level system.This system performs the process of reaching the liquid in the level tank to the level reference entered by the controller on it.The original control algorithm run on the ontroller is PID.In this study, the system is tested with a classical backstepping controller and fuzzy backstepping controller.The fuzzy logic controller determines one of the most important parameters of the backstepping controller.Constant and variable liquid levels are applied to the liquid level controller system.The system's dynamic responses are evaluated on response time, settling time, overshoot, and especially steady-state error.The parameter most in need of improvement is the steady-state error for the classical backstepping controller as this controller typically offers asymptotic tracking.Furthermore, the fuzzy backstepping proposes the exact tracking.The simulation results show that improvement has been achieved in almost all performance parameters with the proposed controller.