Design of TITO system using ANFIS-PID controller for polymerization industry

Abstract

Today, PID controllers are widely employed in a wide variety of manufacturing processes to regulate critical inputs. In this study, an ANFIS-PID controller with adaptive tuning parameters is introduced. This design works well for a nonlinear, closed-loop system with two inputs and two outputs (known as a TITO system). The key benefit here is incorporating the Sugeno function, which is based on the equation of conventional PID control and decoupling coefficients, into the fuzzy rules. Because of this, the decoupling ANFIS- PID controller that was developed may be seen as a natural analogue to the traditional one with decoupling components. The paper considers the implementation of a TITO nonlinear system to demonstrate the merits of the design paradigm. The proposed method is been validated using simulation results.

Keywords

• Nonlinear system
• TITO
• PID
• ANFIS PID controller
• Fuzzy Rules