@article{jacob_2020,
title = {PI and Sliding Mode Control of QUANSER QNET 2.0 HVAC System},
author = {Jacob J.; Selvakumar S.},
journal = {Advances in Electrical and Computer Technologies},
year = {2020},
institution = {Amrita School of Engineering, India},
abstract = {QUANSER QNET 2.0 heating, ventilation and air-conditioning (HVAC) system is a hardware setup developed by National Instruments to study and analyze the thermal equilibrium in a ventilation chamber. The system comprises a brushless DC motor operated fan, a pulse width modulated power amplifier voltage controller and a heating element. The process variable under control is the temperature in the chamber, and the manipulated variable is the voltage across the heating element. This work deals with the conventional PI controller and the latest sliding mode controlling technique to control the temperature in the chamber. LABVIEW and NI-ELVIS II were used for the implementation of the controller on to the hardware setup and also to provide the required interface. The results are compared, and sliding mode control is found to provide better control over the process variable in both transient and steady-state conditions of operation. },
keywords = {QUANSER QNET 2.0 heating, ventilation and air conditioning, MATLAB, LABVIEW, NI-ELVIS-II },
language = {English},
publisher = {Springer, Singapore},
isbn = {978-981-15-5557-2}
}

QUANSER QNET 2.0 heating, ventilation and air-conditioning (HVAC) system is a hardware setup developed by National Instruments to study and analyze the thermal equilibrium in a ventilation chamber. The system comprises a brushless DC motor operated fan, a pulse width modulated power amplifier voltage controller and a heating element. The process variable under control is the temperature in the chamber, and the manipulated variable is the voltage across the heating element. This work deals with the conventional PI controller and the latest sliding mode controlling technique to control the temperature in the chamber. LABVIEW and NI-ELVIS II were used for the implementation of the controller on to the hardware setup and also to provide the required interface. The results are compared, and sliding mode control is found to provide better control over the process variable in both transient and steady-state conditions of operation.

@article{medina-dorantes_2018,
title = {Controller with time-delay to stabilize first-order processes with dead-time},
author = {Medina-Dorantes, F.; Villafuerte-Segura, R.; Aguirre-Hernandez, B.},
journal = {Journal of Control Engineering and Applied Informatics},
year = {2018},
volume = {20},
number = {2},
institution = {Universidad Autónoma Metropolitana-Iztapalapa, Mexico; Universidad Autónoma del Estado de Hidalgo, Mexico},
abstract = {This paper focuses on the stability analysis of analytic functions with two transcendental terms in order to obtain parameters that guarantee an exponential decay rate σ in the response of the linear time-invariant system associated with the analytic function. As a consequence of this stability analysis, analytic expressions to tune all of the gains of a controller with time-delay action called Proportional Integral Retarded (PIR) control law that σ -stabilizes a first-order process with dead-time are obtained. To illustrate the effectiveness of the theoretical results proposed, an application on a Quanser thermal platform is given. Furthermore, a comparison with a classical PID control law is made. },
keywords = {D-composition method, first-order system, time delay systems, stability analysis, stabilizing feedback},
language = {English},
pages = {42-50}
}

This paper focuses on the stability analysis of analytic functions with two transcendental terms in order to obtain parameters that guarantee an exponential decay rate σ in the response of the linear time-invariant system associated with the analytic function. As a consequence of this stability analysis, analytic expressions to tune all of the gains of a controller with time-delay action called Proportional Integral Retarded (PIR) control law that σ -stabilizes a first-order process with dead-time are obtained. To illustrate the effectiveness of the theoretical results proposed, an application on a Quanser thermal platform is given. Furthermore, a comparison with a classical PID control law is made.

@article{sunitha_2016,
title = {Comparision of Conventional Control Techniques F or An Energy Efficient HVAC Systems},
author = {Sunitha, K.A.; Behera, S.},
journal = {International Journal of Applied Engineering Research},
year = {2016},
volume = {11},
number = {6},
institution = {SRM University, Chennai, India},
abstract = {IndiaÍs growing economy and increasing demand for electricity has strongly increased challenge for grid-based systems for effective generation and transmission of energy. As energy management has become a worldwide concern, the heating, ventilating and air conditioning (HVAC) systems which constitute a significant part of annual total energy consumption in the world needs to be controlled. This work aims for the better energy management of HVAC systems by using different control strategies. Conventional controlling techniques like ON-OFF, Proportional, PI, PID controllers are used and compared with Artificial Intelligence techniques namely Fuzzy controller for the efficient use of HVAC system. The hardware circuit, QNET-HVAC has been taken as model for real time HVAC systems and control techniques are implemented for better temperature management. },
issn = {0973-4562},
keywords = {AI, HVAC, P, PI, PID, QNET, FLC, LabVIEW},
language = {English},
publisher = {Research India Publications},
pages = {4258-4263}
}

IndiaÍs growing economy and increasing demand for electricity has strongly increased challenge for grid-based systems for effective generation and transmission of energy. As energy management has become a worldwide concern, the heating, ventilating and air conditioning (HVAC) systems which constitute a significant part of annual total energy consumption in the world needs to be controlled. This work aims for the better energy management of HVAC systems by using different control strategies. Conventional controlling techniques like ON-OFF, Proportional, PI, PID controllers are used and compared with Artificial Intelligence techniques namely Fuzzy controller for the efficient use of HVAC system. The hardware circuit, QNET-HVAC has been taken as model for real time HVAC systems and control techniques are implemented for better temperature management.