Advanced control strategies for HVACR systemsAn overview: Part II: Soft and fusion control

被引：40
作者：
Naidu, D. Subbaram [1 ]
Rieger, Craig G. [2 ]
机构：
[1] Idaho State Univ, Sch Engn, Dept Elect Engn & Comp Sci, Pocatello, ID 83209 USA
[2] Idaho Natl Lab, Idaho Falls, ID 83415 USA
来源：
HVAC&R RESEARCH | 2011年 / 17卷 / 02期
关键词：
FAULT-TOLERANT CONTROL; MODEL-PREDICTIVE CONTROL; AIR-COOLED CHILLER; FUZZY CONTROL; GLOBAL OPTIMIZATION; NEURAL-NETWORK; GENETIC ALGORITHMS; BUILDING SYSTEMS; LOGIC; DESIGN;
D O I：
10.1080/10789669.2011.555650
中图分类号：
O414.1 [热力学];
学科分类号：
摘要：
A chronological overview of the advanced control strategies for HVACR is presented. 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 the fusion or hybrid of hard and soft control techniques. Part I focused on hard-control strategies; Part II focuses on soft and fusion control and some future directions in HVAR research. This overview is not intended to be an exhaustive survey on this topic, and any omissions of other works is purely unintentional.
引用
收藏
页码：144 / 158
页数：15
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