PID-MPC Implementation on a Chiller-Fan Coil Unit

A proportional, integral, and derivative-model predictive controller (PID-MPC) is implemented to enhance the performance of a chiller-fan coil unit with regards to temperature, humidity, and CO2 level control. The sublayer PID is implemented for outdoor air processing to level out fresh and room air...

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Main Authors: C. Sanama, X. Xia, M. Nguepnang
Format: Article
Language:English
Published: Wiley 2022-01-01
Series:Journal of Mathematics
Online Access:http://dx.doi.org/10.1155/2022/8405361
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author C. Sanama
X. Xia
M. Nguepnang
author_facet C. Sanama
X. Xia
M. Nguepnang
author_sort C. Sanama
collection DOAJ
description A proportional, integral, and derivative-model predictive controller (PID-MPC) is implemented to enhance the performance of a chiller-fan coil unit with regards to temperature, humidity, and CO2 level control. The sublayer PID is implemented for outdoor air processing to level out fresh and room air temperatures. Precooled outdoor air prevents from imbalanced loads due to fresh air intake that could delay set point tracking and increase the compressor and supply fan speeds. The upper layer MPC is implemented to control temperature, humidity and CO2 level simultaneously. The coupling effect between temperature and humidity is considered, whilst an optimal control action is determined. The MPC is also implemented to withstand disturbances. The PID performance was satisfactory in terms of settling time and maximum overshoot. The MPC performance was satisfactory in terms of set point tracking and disturbance rejection.
format Article
id doaj-art-a7b1efaaec9f45359f932cd4a71aad4a
institution Kabale University
issn 2314-4785
language English
publishDate 2022-01-01
publisher Wiley
record_format Article
series Journal of Mathematics
spelling doaj-art-a7b1efaaec9f45359f932cd4a71aad4a2025-02-03T06:13:01ZengWileyJournal of Mathematics2314-47852022-01-01202210.1155/2022/8405361PID-MPC Implementation on a Chiller-Fan Coil UnitC. Sanama0X. Xia1M. Nguepnang2Centre of New Energy SystemsCentre of New Energy SystemsCentre of New Energy SystemsA proportional, integral, and derivative-model predictive controller (PID-MPC) is implemented to enhance the performance of a chiller-fan coil unit with regards to temperature, humidity, and CO2 level control. The sublayer PID is implemented for outdoor air processing to level out fresh and room air temperatures. Precooled outdoor air prevents from imbalanced loads due to fresh air intake that could delay set point tracking and increase the compressor and supply fan speeds. The upper layer MPC is implemented to control temperature, humidity and CO2 level simultaneously. The coupling effect between temperature and humidity is considered, whilst an optimal control action is determined. The MPC is also implemented to withstand disturbances. The PID performance was satisfactory in terms of settling time and maximum overshoot. The MPC performance was satisfactory in terms of set point tracking and disturbance rejection.http://dx.doi.org/10.1155/2022/8405361
spellingShingle C. Sanama
X. Xia
M. Nguepnang
PID-MPC Implementation on a Chiller-Fan Coil Unit
Journal of Mathematics
title PID-MPC Implementation on a Chiller-Fan Coil Unit
title_full PID-MPC Implementation on a Chiller-Fan Coil Unit
title_fullStr PID-MPC Implementation on a Chiller-Fan Coil Unit
title_full_unstemmed PID-MPC Implementation on a Chiller-Fan Coil Unit
title_short PID-MPC Implementation on a Chiller-Fan Coil Unit
title_sort pid mpc implementation on a chiller fan coil unit
url http://dx.doi.org/10.1155/2022/8405361
work_keys_str_mv AT csanama pidmpcimplementationonachillerfancoilunit
AT xxia pidmpcimplementationonachillerfancoilunit
AT mnguepnang pidmpcimplementationonachillerfancoilunit