Novel Modeling and Control Strategies for a HVAC System Including Carbon Dioxide Control

Energies

Chang-Soon Kang¹  Jong-Il Park¹  Mignon Park¹ 

[1] Department of Electrical & Electronic Engineering, Yonsei University, Seoul 120-749, Korea; E-Mails:

关键词: heating ventilating and air conditioning (HVAC) system;    multi-input multi-output (MIMO) system;    dynamic extension algorithm;    feedback linearization;   

DOI  :  10.3390/en7063599

来源: mdpi

【 摘 要 】

Conventional heating, ventilating, and air conditioning (HVAC) systems have traditionally used the temperature and the humidity ratio as the quantitative indices of comfort in a room. Recently, the carbon dioxide (CO₂) concentration has also been recognized as having an important contribution to room comfort. This paper presents the modeling of an augmented HVAC system including CO₂ concentration, and its control strategies. Because the proposed augmented HVAC system is multi-input multi-output (MIMO) and has no relative degree problem, the dynamic extension algorithm can be employed; then, a feedback linearization technique is applied. A linear-quadratic regulator (LQR) is designed to optimize control performance and to stabilize the proposed HVAC system. Simulation results are provided to validate the proposed system model, as well as its linearized control system.

【 授权许可】

CC BY   
© 2014 by the authors; licensee MDPI, Basel, Switzerland.