Advanced control strategies for heating, ventilation, air-conditioning, and refrigeration systems-An overview: Part I: Hard control

• Published in: HVAC&R research Vol. 17; no. 1; pp. 2 - 21
• Main Authors: Naidu, D. Subbaram, Rieger, Craig G.
• Format: Journal Article
• Language: English
• Published: Atlanta Taylor & Francis Group 01.02.2011; Taylor & Francis Ltd
• Subjects: AIR CONDITIONING; ALGORITHMS; ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION; FUZZY LOGIC; Genetic algorithms; GENETICS; HEATING; HVAC; NEURAL NETWORKS; REFRIGERATION; VENTILATION
• ISSN: 1078-9669; 2374-4731; 1938-5587; 2374-474X
• DOI: 10.1080/10789669.2011.540942

A chronological overview of the advanced control strategies for heating, ventilation, air-conditioning, and refrigeration (HVAC&R) is presented in this article. The overview focuses on hard-computing or control techniques, such as proportional-integral-derivative, optimal, nonlinear, adaptive, and robust; soft-computing or control techniques, such as neural networks, fuzzy logic, genetic algorithms; and on the fusion or hybrid of hard- and soft-control techniques. Thus, it is to be noted that the terminology "hard" and "soft" computing/control has nothing to do with the "hardware" and "software" that is being generally used. Part I of a two-part series focuses on hard-control strategies, and Part II focuses on soft- and fusion-control in addition to some future directions in HVAC&R research. This overview is not intended to be an exhaustive survey on this topic, and any omission of other works is purely unintentional.