Adaptive and identification two tanks system in control

Abstract

The classical approach to system identification is to identify the transfer function on the basis of measured data. The goal of this research, with the aid of Matlab package, is to both identify and adaptively control a laboratory non-linear two tanks system which is simulated in a Simulink model block. Sampling time and model structure selection will be introduced first. Then, concentration will be on the OLS and IV methods of estimating parameters as they will be used in the Matlab identification toolbox. The system accordingly will be identified to obtain both discrete and continuous linear function models at operating points of 3 and 6. Adaptive and self-tuning control is the second part of this report where self-tuning PI control will be implemented based on RLS and phase margin design algorithms. Relay-based auto-tuning PI control is the second part control method, and practical comparison between them is provided at the end of this report