TRACKING PERFORMANCE OF PNEUMATIC POSITION USING GENERALIZED MINIMUM VARIANCE CONTROLLER (GMVC)

Authors

  • Nur Kairul Bariyah Mahyudin
  • Zuraida Hanim Zaini
  • Khairudin Osman
  • Siti Fatimah Sulaiman

Keywords:

Pneumatic Position Systems, System Modelling, System Identification, Generalized Minimum Variance Controller.

Abstract

System modeling is an important task to develop a mathematical model that describes the dynamics of a system. The scope for this work consists of modeling and controller design for a particular system. Parametric approach using Auto Regressive with Exogenous input (ARX) model structure will be used to estimate the mathematical model or approximated model plant. In this research, the approximated plant model is estimated using System Identification approach. Once the mathematical model is obtained, Generalized Minimum Variance (GMV) controller are designed and simulated in MATLAB. Finally, a comparative study based on simulation is analyzed and discussed in order to identify which controller deliver better performance in terms of the system’s tracking performances.

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Published

2019-01-11

Issue

Vol. 2 No. 1 (2018): Journal of Engineering and Health Science

Section

ARTICLE

License

The content of the Journal of Engineering and Health Sciences (JEHS) is licensed under a Creative Commons Attribution 4.0 International license (CC BY NC ND 4.0). Authors transfer the ownership of their articles' copyright and publication right to JEHS. Permission is granted to Penerbit Universiti Melaka to publish the submitted articles. The authors also permit any third party to freely share the article as long as the original authors and citation information are properly cited.