Virtual design of a traction elevator machine room HVAC control system

• Main Authors: Bacud, Jo-Mary F., Canlas, Francis Kevin D., Castillo, Donald Adrian M., Locquiao, Jessica E.
• Format: text
• Language: English
• Published: Animo Repository 2014
• Online Access: https://animorepository.dlsu.edu.ph/etd_bachelors/12170
• Institution: De La Salle University

HVAC (Heating, Ventilation and Air Conditioning) systems are widely used in different commercial and residential properties, which include hospitals, schools and condominiums. For this reason, different types and implementations of HVAC systems are needed depending on the environmental conditions and operating requirements of the given areas. However, the development of HVAC control systems, are still in their early stages of development especially those that are used in elevator machine rooms. This is alarming because both the performance and long-term stability of elevator control systems are heavily depended on its environmental conditions, which may impede or even damage key components of these systems. This thesis developed a system that theoretically is able to properly control and regulate the environment inside an elevator machine room through the corresponding dynamics of temperature as well as relative humidity. These environmental factors were mathematically modelled and simulated to provide an accurate test environment for the control system being developed. The simulation involved the use of Simulink, due to its ease of use, its extensive control libraries as well as its wide applications in the assisted modelling and simulation of systems. An alert system was also integrated into the control system design to notify the user when the system is not in its normal flow of operation. Thermal model created in this study may not behave exactly the same as actual machine room, since thermal time constant and power dissipation of the components were based on theoretical calculations and external references due to lack of proper equipment. The results in the subsequent chapters will show how the behavior of each element in the thermal models affected in using different tuning methods for the PID controller. The default acceptable PID gain values for this study are Kp = 50, Ki = 0.08, and Kd = 10.