eprintid: 13611
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/01/36/11
datestamp: 2023-11-10 03:28:10
lastmod: 2023-11-10 03:28:10
status_changed: 2023-11-10 01:51:35
type: article
metadata_visibility: show
creators_name: Devan, P.A.M.
creators_name: Hussin, F.A.B.
creators_name: Ibrahim, R.
creators_name: Bingi, K.
creators_name: Abdulrab, H.Q.A.
title: Fractional-order predictive pi controller for dead-time processes with set-point and noise filtering
ispublished: pub
keywords: Controllers; Disturbance rejection; Passive filters; Spurious signal noise; Three term control systems, Compensation techniques; Conventional methods; Dead- time compensation; Fractional-order controllers; Higher-order systems; Industrial processs; Model-based controller; Optimal performance, Process control
note: cited By 17
abstract: In most of the industrial process plants, PI/PID controllers have been widely used because of its simple design, easy tuning, and operational advantages. However, the performance of these controllers degrades for the processes with long dead-time and variation in set-point. Up next, a PPI controller is designed based on the Smith predictor to handle dead-time processes by compensation technique, but it failed to achieve adequate performance in the presence of external noise, large disturbances, and higher-order systems. Furthermore, the model-based controllers structure is complex in nature and requires the exact model of the process with more tunable parameters. Therefore, in this research, a fractional-order predictive PI controller has been proposed for dead-time processes with added filtering abilities. The controller uses the dead-time compensation characteristics of the Smith predictor and the fractional-order controller's robustness nature. For the high peak overshoot, external noise, and disturbance problems, a new set-point and noise filtering technique is proposed, and later it is compared with different conventional methods. In servo and regulatory operations, the proposed controller and filtering techniques produced optimal performance. Multiple real-time industrial process models are simulated with long dead-time to evaluate the proposed technique's fiexibility, set-point tracking, disturbance rejection, signal smoothing, and dead-time compensation capabilities. © 2020 Institute of Electrical and Electronics Engineers Inc.. All rights reserved.
date: 2020
publisher: Institute of Electrical and Electronics Engineers Inc.
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85102766544&doi=10.1109%2fACCESS.2020.3029068&partnerID=40&md5=8faff9e413529fa9e7f7bcad352fd4bf
id_number: 10.1109/ACCESS.2020.3029068
full_text_status: none
publication: IEEE Access
volume: 8
pagerange: 183759-183773
refereed: TRUE
issn: 21693536
citation:   Devan, P.A.M. and Hussin, F.A.B. and Ibrahim, R. and Bingi, K. and Abdulrab, H.Q.A.  (2020) Fractional-order predictive pi controller for dead-time processes with set-point and noise filtering.  IEEE Access, 8.  pp. 183759-183773.  ISSN 21693536