Open AccessMulti-Loop PID Controller Design for MIMO Processes Based On SIMC Fractional Order Filter
Author(s) -
S. Jayanthi,
K. Firdose Kowser Ahamadia,
M. Rathaiah
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.k1509.119119
Subject(s) - control theory (sociology) , pid controller , controller (irrigation) , multivariable calculus , internal model , filter (signal processing) , set point , set (abstract data type) , computer science , process (computing) , dimension (graph theory) , mimo , mathematics , control (management) , control engineering , engineering , temperature control , channel (broadcasting) , artificial intelligence , computer network , agronomy , pure mathematics , computer vision , biology , programming language , operating system
This paper presents a multiloop control for the different dimensional multivariable processes which are having the strong interrelation amid its variables. The objective of this discussion is to enhance the overall performance of the system by reducing the effects of interrelation of process variables. The prerequisite for design of multi loop control is to determine the best pair of controlled variables. In this paper the pair of variables is identified by using the relative gains of the process variables. Based on these, the pair of possible control loops is identified and their FOPDT models are approximated. Then to improve the servo operation (for set point changes in input) the PID controller parameters are calculated for these models using Simplified IMC tuning formulas. To minimize the effects of interrelations fractional order filter is used. With this combination, the overall objective of the control system is fulfilled i.e., tracking the set point and lessening the interaction. To show the effectiveness, the two examples are considered with different dimension, interaction and controller is designed. The results show that the SIMC algorithm improved the performance of the system.