Control of Quadruple Tank Process Using Fuzzy Controllers Based on PSO Algorithm

Abstract

Most industrial processes are multi-variable systems of a complex nature. Studying these systems via benchmark systems, such as the quadruple tank process, seems to be an effective solution. The quadruple tank process is a multi-input-multi-output process with minimum and non- minimum phase behavior. In this work, we investigated how to control the quadruple tank process using a fuzzy controller optimized by a PSO algorithm. Indeed, this study necessarily starts with a modeling phase on which a classical PI-based controller has been designed. In order to better control the behavior of the studied system, a fuzzy control is considered in the second part of this work. Finally, the above-mentioned controllers are optimized using the PSO algorithm and then applied to the quadruple tank process in order to boost its performance in its both operating phases.