HVAC multivariable system modelling and control
Heating, Ventilation and Air Conditioning (HVAC) is a multivariable process where any alteration with one system input affects most or all of the system’s outputs simultaneously. Owing to its comprehensiveness, a readily derived multivariable HVAC mathematical model is selected for this work, mainly...
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2022
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| Online Access: | https://bspace.buid.ac.ae/handle/1234/2946 https://journals.sagepub.com/doi/abs/10.1177/09544062221138836 https://doi.org/10.1177/09544062221138836. |
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| _version_ | 1862980612050124800 |
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| author | Touqan, Basim |
| author2 | Abdul-Ameer, Alaa Salameh, Muna |
| author2_role | author author |
| author_facet | Touqan, Basim Abdul-Ameer, Alaa Salameh, Muna |
| author_role | author |
| dc.creator.none.fl_str_mv | Touqan, Basim Abdul-Ameer, Alaa Salameh, Muna |
| dc.date.none.fl_str_mv | 2022 2025-05-08T10:59:36Z 2025-05-08T10:59:36Z |
| dc.identifier.none.fl_str_mv | Touqan Basim, Abdul-Ameer, A. and Salameh Muna (2023) “HVAC multivariable system modelling and control,” Proceedings of the Institution of Mechanical Engineers, 237(9), pp. 2049–2061. 0954-4062, 2041-2983 https://bspace.buid.ac.ae/handle/1234/2946 https://journals.sagepub.com/doi/abs/10.1177/09544062221138836 https://doi.org/10.1177/09544062221138836. |
| dc.language.none.fl_str_mv | en |
| dc.publisher.none.fl_str_mv | Sage journals |
| dc.relation.none.fl_str_mv | Proceedings of the Institution of Mechanical Engineersv237 n9 (May 2023): 2049-2061 |
| dc.subject.none.fl_str_mv | HVAC, transfer function matrix, multivariable control, Direct Nyquist Array, loops decoupling |
| dc.title.none.fl_str_mv | HVAC multivariable system modelling and control |
| dc.type.none.fl_str_mv | Article |
| description | Heating, Ventilation and Air Conditioning (HVAC) is a multivariable process where any alteration with one system input affects most or all of the system’s outputs simultaneously. Owing to its comprehensiveness, a readily derived multivariable HVAC mathematical model is selected for this work, mainly a hybrid distributed-lumped parameters model. As the transfer function matrix was not established in the selected HVAC model, it was exclusively developed in this study, using the time domain graphical responses of the chosen model. Based on the developed transfer function matrix, a conceptual two-step approach was followed to control HVAC model performance. The first was decoupling the interactions that affect all the system outputs, and the second was designing proper PID controllers for each decoupled loop similar to those used for single input single output (SISO) systems. A direct Nyquist Array (DNA) multivariable control strategy was used for this purpose and successfully decoupled the HVAC system into three separate (SISO) loops. Three PID controllers afterwards were applied for each decoupled loop. The results showed quite decoupled system outputs with a minor coupling percentage so that any change in a system input only affected the corresponding system output. The output responses are also underdamped with almost zero steady-state error confirming the effectiveness of the selected PID parameters. The values of steady-state responses are obtained in (10– 15) s compared with (200–600) s of open-loop response time. However, various overshoot percentages in the responses are encountered but are relatively small, with a short settling time, so they don’t affect the thermal comfort of the ventilated volume. System stability using the Nyquist criterion has also been examined and found to satisfy the criterion. The multivariable DNA control technique and the SISO closed-loop PID controllers have shown the capability to suppress external disturbances and restore the system to its original functional steady-state values. |
| id | budr_2b69363adb131ecae6ba78ed0dd78565 |
| identifier_str_mv | Touqan Basim, Abdul-Ameer, A. and Salameh Muna (2023) “HVAC multivariable system modelling and control,” Proceedings of the Institution of Mechanical Engineers, 237(9), pp. 2049–2061. 0954-4062, 2041-2983 |
| language_invalid_str_mv | en |
| network_acronym_str | budr |
| network_name_str | The British University in Dubai repository |
| oai_identifier_str | oai:bspace.buid.ac.ae:1234/2946 |
| publishDate | 2022 |
| publisher.none.fl_str_mv | Sage journals |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| spelling | HVAC multivariable system modelling and controlTouqan, BasimAbdul-Ameer, AlaaSalameh, MunaHVAC, transfer function matrix, multivariable control, Direct Nyquist Array, loops decouplingHeating, Ventilation and Air Conditioning (HVAC) is a multivariable process where any alteration with one system input affects most or all of the system’s outputs simultaneously. Owing to its comprehensiveness, a readily derived multivariable HVAC mathematical model is selected for this work, mainly a hybrid distributed-lumped parameters model. As the transfer function matrix was not established in the selected HVAC model, it was exclusively developed in this study, using the time domain graphical responses of the chosen model. Based on the developed transfer function matrix, a conceptual two-step approach was followed to control HVAC model performance. The first was decoupling the interactions that affect all the system outputs, and the second was designing proper PID controllers for each decoupled loop similar to those used for single input single output (SISO) systems. A direct Nyquist Array (DNA) multivariable control strategy was used for this purpose and successfully decoupled the HVAC system into three separate (SISO) loops. Three PID controllers afterwards were applied for each decoupled loop. The results showed quite decoupled system outputs with a minor coupling percentage so that any change in a system input only affected the corresponding system output. The output responses are also underdamped with almost zero steady-state error confirming the effectiveness of the selected PID parameters. The values of steady-state responses are obtained in (10– 15) s compared with (200–600) s of open-loop response time. However, various overshoot percentages in the responses are encountered but are relatively small, with a short settling time, so they don’t affect the thermal comfort of the ventilated volume. System stability using the Nyquist criterion has also been examined and found to satisfy the criterion. The multivariable DNA control technique and the SISO closed-loop PID controllers have shown the capability to suppress external disturbances and restore the system to its original functional steady-state values.Sage journals2025-05-08T10:59:36Z2025-05-08T10:59:36Z2022ArticleTouqan Basim, Abdul-Ameer, A. and Salameh Muna (2023) “HVAC multivariable system modelling and control,” Proceedings of the Institution of Mechanical Engineers, 237(9), pp. 2049–2061.0954-4062, 2041-2983https://bspace.buid.ac.ae/handle/1234/2946https://journals.sagepub.com/doi/abs/10.1177/09544062221138836https://doi.org/10.1177/09544062221138836.enProceedings of the Institution of Mechanical Engineersv237 n9 (May 2023): 2049-2061oai:bspace.buid.ac.ae:1234/29462025-08-13T13:18:09Z |
| spellingShingle | HVAC multivariable system modelling and control Touqan, Basim HVAC, transfer function matrix, multivariable control, Direct Nyquist Array, loops decoupling |
| title | HVAC multivariable system modelling and control |
| title_full | HVAC multivariable system modelling and control |
| title_fullStr | HVAC multivariable system modelling and control |
| title_full_unstemmed | HVAC multivariable system modelling and control |
| title_short | HVAC multivariable system modelling and control |
| title_sort | HVAC multivariable system modelling and control |
| topic | HVAC, transfer function matrix, multivariable control, Direct Nyquist Array, loops decoupling |
| url | https://bspace.buid.ac.ae/handle/1234/2946 https://journals.sagepub.com/doi/abs/10.1177/09544062221138836 https://doi.org/10.1177/09544062221138836. |