Nonlinear controller design methods for modern building heating and ventilation systems using inverse dynamics

John Counsell, Joseph Brindley, Gavin Bruce Murphy, Yousaf Ali Khalid

Research output: Contribution to journalArticle

Abstract

This paper presents the control of a HVAC system using a nonlinear, multivariable controller design based on a Nonlinear Dynamic Inverse method. The proposed benefits of this design compared to a traditional PID controller are shown through the improved decoupling of the interactions between the heating and ventilation systems, better disturbance rejection and tighter setpoint tracking for humidity and temperature and reduced over-driving of actuator systems resulting in less energy usage. The robustness of the controller when faced with varying degrees of sensor lag is investigated and a method of reducing this sensitivity by dynamically varying the controller’s response is developed using a nonlinear error actuated controller. A model of a HVAC controlled indoor zone is presented and the proposed controller’s performance is compared to that of a PI design. The simulation results demonstrate the improved comfort and energy saving potential of the proposed advanced controller design.
LanguageEnglish
Number of pages21
JournalIntelligent Buildings International
Publication statusUnpublished - 2012

Fingerprint

Ventilation
Heating
Controllers
Disturbance rejection
Robustness (control systems)
Atmospheric humidity
Energy conservation
Actuators
Sensors

Keywords

  • non-linear design
  • inverse dynamics
  • heating systems
  • ventilation systems

Cite this

Counsell, J., Brindley, J., Murphy, G. B., & Khalid, Y. A. (2012). Nonlinear controller design methods for modern building heating and ventilation systems using inverse dynamics. Unpublished.
@article{9500c1ada2ce4384a477200ad09b05b0,
title = "Nonlinear controller design methods for modern building heating and ventilation systems using inverse dynamics",
abstract = "This paper presents the control of a HVAC system using a nonlinear, multivariable controller design based on a Nonlinear Dynamic Inverse method. The proposed benefits of this design compared to a traditional PID controller are shown through the improved decoupling of the interactions between the heating and ventilation systems, better disturbance rejection and tighter setpoint tracking for humidity and temperature and reduced over-driving of actuator systems resulting in less energy usage. The robustness of the controller when faced with varying degrees of sensor lag is investigated and a method of reducing this sensitivity by dynamically varying the controller’s response is developed using a nonlinear error actuated controller. A model of a HVAC controlled indoor zone is presented and the proposed controller’s performance is compared to that of a PI design. The simulation results demonstrate the improved comfort and energy saving potential of the proposed advanced controller design.",
keywords = "non-linear design, inverse dynamics, heating systems, ventilation systems",
author = "John Counsell and Joseph Brindley and Murphy, {Gavin Bruce} and Khalid, {Yousaf Ali}",
year = "2012",
language = "English",
journal = "Intelligent Buildings International",
issn = "1750-8975",

}

Nonlinear controller design methods for modern building heating and ventilation systems using inverse dynamics. / Counsell, John; Brindley, Joseph; Murphy, Gavin Bruce; Khalid, Yousaf Ali.

In: Intelligent Buildings International, 2012.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Nonlinear controller design methods for modern building heating and ventilation systems using inverse dynamics

AU - Counsell, John

AU - Brindley, Joseph

AU - Murphy, Gavin Bruce

AU - Khalid, Yousaf Ali

PY - 2012

Y1 - 2012

N2 - This paper presents the control of a HVAC system using a nonlinear, multivariable controller design based on a Nonlinear Dynamic Inverse method. The proposed benefits of this design compared to a traditional PID controller are shown through the improved decoupling of the interactions between the heating and ventilation systems, better disturbance rejection and tighter setpoint tracking for humidity and temperature and reduced over-driving of actuator systems resulting in less energy usage. The robustness of the controller when faced with varying degrees of sensor lag is investigated and a method of reducing this sensitivity by dynamically varying the controller’s response is developed using a nonlinear error actuated controller. A model of a HVAC controlled indoor zone is presented and the proposed controller’s performance is compared to that of a PI design. The simulation results demonstrate the improved comfort and energy saving potential of the proposed advanced controller design.

AB - This paper presents the control of a HVAC system using a nonlinear, multivariable controller design based on a Nonlinear Dynamic Inverse method. The proposed benefits of this design compared to a traditional PID controller are shown through the improved decoupling of the interactions between the heating and ventilation systems, better disturbance rejection and tighter setpoint tracking for humidity and temperature and reduced over-driving of actuator systems resulting in less energy usage. The robustness of the controller when faced with varying degrees of sensor lag is investigated and a method of reducing this sensitivity by dynamically varying the controller’s response is developed using a nonlinear error actuated controller. A model of a HVAC controlled indoor zone is presented and the proposed controller’s performance is compared to that of a PI design. The simulation results demonstrate the improved comfort and energy saving potential of the proposed advanced controller design.

KW - non-linear design

KW - inverse dynamics

KW - heating systems

KW - ventilation systems

UR - http://www.tandf.co.uk/journals/TIBI

M3 - Article

JO - Intelligent Buildings International

T2 - Intelligent Buildings International

JF - Intelligent Buildings International

SN - 1750-8975

ER -