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Research of Energy Saving for Convertible Frequency Air-Condition Based on Fuzzy Neural Network

Author: SongLiFang
Tutor: DingBao
School: Harbin Institute of Technology
Course: Electrical Engineering
Keywords: Convertible frequency air-condition Fuzzy control Neural network Energy saving System simulation
CLC: TM925.12
Type: Master's thesis
Year: 2010
Downloads: 119
Quote: 0
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Abstract


With the rapid development of communication industry, more and more communication rooms are put into construction and using process. Communication equipment is unique with other industry equipments, while it needs a severe working environment. It has clear requirements on the working temperature, humidity and cleanness degree. Air conditions are the equipment for serving this kind of environment. Data shows that the main electricity consumption was introduced by the air condition. To improve the efficiency of air condition is a way to cut the electricity consumption of the communication room. At the mean time, with the governmental policies on saving energy and reducing emissions and public awareness on environmental protection, more and more focuses on energy saving for huge equipments come up. Research on the energy saving control for communication room will contribute production industry, mechanical industry and communication industry for both theoretical and practical values.This paper analyzed the existing control theory on air condition area. Put fuzzy neural network control thought on air condition energy saving area. This paper gave a practical application method for fuzzy neural network algorithm, including fuzzy algorithm and neural network algorithm.This paper used the simulation function for control system provided by Matlab/Simulink to construct a fuzzy neural network simulation model based on thermo dynamical ideal model, and then tested the response characteristics, interference characteristic and robustness, and at last compared with the traditional control methods. The conclusion was that the control method basing on fuzzy neural network was better than tradition control method. This paper realized the equipment for communication room special used air condition, designed the hardware circuit based on Microchip Company’s dsPIC30F4013, including dsPIC and its peripheral expansion circuit, temperature testing and transferring circuit, isolation and output circuit, display and operation circuit and power supply circuit, designed software program, including main program, interrupt sub program, A/D sampling sub program, temperature testing sub program, temperature changing rate calculating sub program, system control selection sub program, dehumidification sub program. At last, a sample equipment for communication room’s air condition basing on fuzzy neural network control algorithm was produced.This paper did a practical test in the communication room of Tianjing Mobile, put the sample machine into real life, and then approved the energy saving advantage in practical situation after the theoretical discussion.This paper analyzed and designed a fuzzy neural network algorithm for the energy saving control equipment for communication room special used air condition. This paper approved the energy saving advantage from both theoretical and practical aspects.

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CLC: > Industrial Technology > Electrotechnical > Electrification,electrical energy application > Household appliances and other electrical equipment > Air conditioning appliances > Air conditioner
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