The air-jet texturing and twisting machine's and model predictive control based on state-space

Mehmet Baykara*, Ertan Öznergiz, Can Özsoy, Ali Demir, Salih Gülsen

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

This paper presents the modeling and model predictive control based on state-space model of the air jet texturing and twisting machine. The system model shows the tension change in the twisting process. In designing of the Model Predictive Controller, two major objectives are considered. The first one is that the yarn tension in twisting process tracks a given reference tension; the second one is that the yarn tension with texturing process which is assumed as a step disturbance has to track the same ideal tension value. To verify the control algorithm performance, the proposed algorithm is compared with a PID controller designed with Ziegler-Nichols method. All computer simulations were completed in MIDSYS toolbox and MATLAB Simulink. The simulation study shows that the proposed model predictive control is an improvement over the PID controller for any control inputs.

Original languageEnglish
Title of host publication2nd IFAC International Conference on Intelligent Control Systems and Signal Processing
PublisherIFAC Secretariat
EditionPART 1
ISBN (Print)9783902661661
DOIs
Publication statusPublished - 2009

Publication series

NameIFAC Proceedings Volumes (IFAC-PapersOnline)
NumberPART 1
Volume2
ISSN (Print)1474-6670

Funding

In this study, after improvement and manufacturing of Air Jet Texturing and Twisting Machine which was supported by TUBITAK (Research Grant No: 105M134) and patented (TPE Document Code: 69065, Registration No: 20072344), we purposed modeling the twisting process. In order to control the tension of the yarn with twisting process, we aimed at developing a state space model predictive controller. A novel and innovative air–jet texturing and twisting (AJT2) technology has been developed by the support of TUBİTAK (research grant no: 105M134). We would like to acknowledge and extend our heartfelt gratitude to the Scientific and Technological Research Council of Turkey (TUBİTAK).

FundersFunder number
TUBITAK105M134, 20072344
TUBİTAK

    Keywords

    • Air-jet texturing and twisting
    • ARX
    • PID controller
    • State-space model predictive control
    • System identification
    • Tension control

    Fingerprint

    Dive into the research topics of 'The air-jet texturing and twisting machine's and model predictive control based on state-space'. Together they form a unique fingerprint.

    Cite this