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

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

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.

Keywords


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

Full Text:

PDF

Refbacks

  • There are currently no refbacks.


This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0), permitting copy and redistribute the material in any medium or format.