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Multi-Loop PID Controller Design for MIMO Processes Based On SIMC Fractional Order Filter
S.Jayanthi1, K.Firdose Kowser Ahamadia2, M.Rathaiah3

1S.Jayanthi Master’s Degree from JNTUA in Control System specialization from Department of Electrical and Electronics Engineering, Anantapuramu.
2K.Firdose Kowser Ahamadia Assistant Professor (Adhoc) in the Department of EEE at JNTU College of Engineering Anantapuramu.
3M.Rathaiah, Assistant Professor (Adhoc) in the Department of EEE at JNTU College of Engineering Anantapuramu.

Manuscript received on October 13, 2019. | Revised Manuscript received on 23 October, 2019. | Manuscript published on November 10, 2019. | PP: 4595-4600 | Volume-9 Issue-1, November 2019. | Retrieval Number: K15090981119/2019©BEIESP | DOI: 10.35940/ijitee.K1509.119119
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: 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.
Keywords:  Interrelations of variables, Time Delay, Servo Operation, Simplified IMC, Fractional Order Filter, Multi Loop Control.
Scope of the Article: MIMO Antenna