ICONS 2019 Paper Abstract


Paper ThA1AM.3

Alarfaj, Yousaf (Lancaster University)

A Practical Example of Fractional Order Generalised Predictive Control: Forced Ventilation in a Micro-Climate Test Chamber

Scheduled for presentation during the Regular Session "Advanced Μanufacturing and Industrial Control" (ThA1AM), Thursday, August 22, 2019, 11:30−11:50,

5th IFAC International Conference on Intelligent Control and Automation Sciences, August 21-23, 2019, Queen’s University Belfast, Northern Ireland

This information is tentative and subject to change. Compiled on November 29, 2021

Keywords Controllers and observers design


This article concerns fractional order control system design, with a focus on one particular method from the literature, namely Fractional order Generalised Predictive Control (FGPC). FGPC provides for an increase in the design flexibility of the well-known, conventional algorithm, Generalised Predictive Control (GPC). Both algorithms have a relatively straightforward implementation form, making them attractive to practitioners. This work represents one of the first implementations of FGPC design to a physical system in a laboratory context, namely the control of ventilation rate in a forced ventilation environmental test chamber. GPC and FGPC closed-loop responses are compared. Recommendations are developed for how to utilise the extra design coefficients in the fractional order case.

Keywords: Fractional order, Generalised Predictive Control, Fractional Order Generalised Predictive Control.


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