Robust Adaptive Neural Sliding Mode Method for Coupled-Tank System Intelligent Control

Abstract

This paper introduces an advanced adaptive neural sliding mode controller (ANSMC) applied for precisely tracking control the liquid level of the coupled tank system. The controlled plant is a highly nonlinear time-delayed system which contains the uncertainties such as noise measurement, disturbances of output valves, etc. The proposed ANSMC controller includes a combined neural sliding mode controller permitting to generate adaptive learning rule which can adaptively estimate the plant parameters and compensate the uncertainties of the plant regardless of the knowledge concerning the controlled plant information. The effectiveness of the proposed control scheme is convincingly proved through the simulation results applied for a highly nonlinear coupled tank system.