Iterative Learning Control Design for a Non-Linear Multivariable System

Abstract

Multivariable systems referring to the relationships between input variables and output variables, exhibit complex dynamics. This paper presents an access to model an auto-tuned PI controller to control a class of multivariable systems using ideal decoupler and Iterative Learning Controller techniques. The MIMO system is converted into two SISO systems using the decoupler. Iterative Learning Control offers a good scheme for high-precision positioning control and fast process response. In the quadruple tank system controlling flow ratios operates the structure in minimum and non-minimum phase system. The performance will be cause if the system moves from the minimum to the non-minimum phase arrangement, and vice versa. The performance of the proposed system is analyzed using simulation for source tracking and interruption elimination behaviour. Simulation results affirm the efficacy of the suggested control approach.