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

Chang-Soon Kang, Jong-Il Park, Mignon Park and Jaeho Baek
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Chang-Soon Kang: Department of Electrical & Electronic Engineering, Yonsei University, Seoul 120-749, Korea
Jong-Il Park: Department of Electrical & Electronic Engineering, Yonsei University, Seoul 120-749, Korea
Mignon Park: Department of Electrical & Electronic Engineering, Yonsei University, Seoul 120-749, Korea
Jaeho Baek: Advanced R&D Team, Samsung Electronics Co. Ltd., Suwon 443-742, Korea

Energies, 2014, vol. 7, issue 6, 1-19

Abstract: 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 (CO 2 ) concentration has also been recognized as having an important contribution to room comfort. This paper presents the modeling of an augmented HVAC system including CO 2 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.

Keywords: HVAC system; MIMO system; dynamic extension algorithm; feedback linearization (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2014
References: View complete reference list from CitEc
Citations: View citations in EconPapers (5)

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