Performance Analysis of Controller for Non-Linear System using Model Based and Data Driven Techniques

Abstract

The main challenge for every sector is regulating the flow and level of the liquid during the process. In various manufacturing sectors, the conical tank is frequently employed. The conical tank's design causes non-linearity, therefore controlling the liquid level in a conical tank process is the most difficult issue. As a result, the process output may occasionally be impacted. The level control of the conical process has been the subject of a great deal of research. A conical bottomed tank is utilized for complete fluid drainage in various process industries, where its nonlinearity may only be at the bottom. The tank can be made entirely conical to increase drainage effectiveness even further. However, because of the tank's constant change, the process is highly nonlinear, making it challenging to manage the liquid level. Most commonly, a conical-shaped tank system is used in colloidal mills, leaching extractions in the chemical and pharmaceutical industries, food processing industries, petroleum industries, molasses, liquid feed and liquid fertilizer storage, chemical holding and mix tanks, and reactor tanks for the processing of biodiesel. Conical tanks are employed in storage and holding tanks to prevent settlement and sludge. On the basis of traditional modelling (transfer function modelling), system identification and data-based methodology, modelling and controller design are carried out on a single conical tank. Based on time domain specifications, the performance of the designed controllers is examined. Data-based controller design has been shown to be superior to the other two strategies. A controller is designed and then modelled using the MATLAB platform.