scholarly journals A practical application of fuzzy control for an air-conditioning system

1991 ◽  
Vol 5 (3) ◽  
pp. 331-348 ◽  
Author(s):  
Toshikazu Tobi ◽  
Toshiharu Hanafusa
2013 ◽  
Vol 850-851 ◽  
pp. 644-647
Author(s):  
Yan Qiu Zhao ◽  
Hong Ling Zhang ◽  
Xiao Feng Zhang

To improve the energy efficiency of central air-conditioning system, established a central air-conditioning control system based on fuzzy prediction control and LonWorks. Fuzzy prediction controller design consist of upper computer and lower computer. Upper computer fuzzy control program written in VB to achieve system main components of energy conservation, and used the "WebAccess" to monitor the air-conditioning system. Lower computer used the Neuron C language program to achieve energy-saving of air-conditioning terminal equipment and downloaded to the intelligent node of neuron chip to achieve energy-saving control. Finally, given the fuzzy control effect diagram.


2013 ◽  
Vol 321-324 ◽  
pp. 1645-1648
Author(s):  
Chung Neng Huang ◽  
Ying Han Ye ◽  
Chien Kuo Lan

The water misting cooling has phase change characteristics,so the cooling efficiency is better than water cooled ,and more saveing energy、save water、less noise ,It is being widely used in the air conditioning system for the condenser cooling. In order to enhance the cooling efficiency of the water misting cooling system and improve the efficiency of the air conditioning system in the cold room, In the study use ultrasonic water misting cooling chiller for controlled object, and proposed the dual-effect fuzzy control system controller’s design concepts ,carry out the fuzzy controller and the control circuit in the FPGA chip to reach the goal of the product, After the relevant tests that is differing from traditional air-cooled water chillers. In the study, in addition to improve the shortcomings of traditional chiller energy consumption, to enhance the efficiency of water misting cooling system, achieve more saving energy and high efficiency control purposes.


2011 ◽  
Vol 383-390 ◽  
pp. 654-660
Author(s):  
Hong Zhou He ◽  
Shao Hui Yang

VAV air-conditioning system has the characters of nonlinear and non-stationary under the influence of many factors, so it is hard to tune the parameters of the fuzzy control system. According to the structure and operation principle of VAV air-conditioning system, the monitoring system has been developed. The conventional fuzzy control algorithm, temperature self-tuning parameters fuzzy control algorithm and variable universe adaptive fuzzy control algorithm were researched in the system. The relationship between the scale factors and several main performance indexes of the system's respond curve like overshoot, steady-state error and transient time has been analyzed. The experiments results indicate that the variable universe fuzzy control algorithm can improve the performance of the fuzzy controlle, the combination property index decreases over 17%. The algorithm is feasible to use it on line since it is simple and need few system resources.


2015 ◽  
Vol 23 (2) ◽  
pp. 474-481 ◽  
Author(s):  
Snejana Yordanova ◽  
Daniel Merazchiev ◽  
Lakhmi Jain

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