个人信息Personal Information
副教授
博士生导师
硕士生导师
主要任职:Deputy Director, Department of Civil Engineering, Dalian University of Technology
其他任职:APEC Energy Working Group Member, Member of APEC Expert Group on Energy Efficiency and Conservation (EGEE&C)
性别:男
毕业院校:哈尔滨工业大学
学位:博士
所在单位:土木工程系
学科:供热、供燃气、通风及空调工程
办公地点:厚兴楼417房间
联系方式:0411-84707734
电子邮箱:zhaotianyi@dlut.edu.cn
Rule-based fuzzy control method for static pressure reset using improved Mamdani model in VAV systems
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论文类型:期刊论文
发表时间:2019-03-01
发表刊物:JOURNAL OF BUILDING ENGINEERING
收录刊物:SCIE、Scopus
卷号:22
页面范围:192-199
ISSN号:2352-7102
关键字:Building energy saving; VAV system; Static pressure reset; Fuzzy control; Control rules
摘要:In variable air volume air(VAV) conditioning systems, conventional methods for static pressure reset depends on accurate mathematics models which are often difficult to be built. On the contrary, controls, which are based on a series of control rules derived from the operating and commissioning experience, have the capacity to achieve better effects. A rule-based fuzzy control method (RBFCM) for static pressure reset is proposed using improved Mamdani model and functioning fuzzy subset inference method, which reflects the physical characteristics of the controlled object and is convenient for the engineers to understand and use. The development and implementation of the proposed RBFCM are necessary to demonstrate in detail. Through comparative experiments, the proposed RBFCM is compared with the conventional fixed-step method and itself with different actual domain in a control experiment platform for the VAV air conditioning system. Experimental results indicate that the proposed RBFCM has better control performances and outstanding energy-saving potential if the actual domain can be selected reasonably. A minimum of 33% energy saving rate of the proposed RBFCM with the optimal actual domain is shown through experimental study.