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Research of Fuzzy Control of Boiler Combustion System

Author: ZhangMeng
Tutor: ZhengDeZhong
School: Yanshan University
Course: Measuring Technology and Instruments
Keywords: Boiler system Heat Fuzzy Controller Neural Networks Energy-saving
CLC: TP273.4
Type: Master's thesis
Year: 2010
Downloads: 217
Quote: 1
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Abstract


The coal-fired power plant boiler is important , occupies an important position in the development of our national economy . In recent years, as people 's energy and awareness of environmental protection , the boiler online monitoring and optimization of the production process control , has become one of the hotspots direction of research in the field of energy, environmental protection and control . This paper analyzes the boiler transducer process multi-input , multi-output , large time delay , tightly coupled , nonlinear characteristics to fully study the basic principles of fuzzy control based on the analysis of the diversity and control of the boiler combustion process parameters complexity, to study the advantages of fuzzy neural network in complex industrial process control , using fuzzy neural network control algorithm to solve the boiler control system based on fuzzy neural network research . The multivariate analysis of boiler combustion process in the combustion characteristics of coal and boiler combustion thermal radiation heat transfer characteristics of the boiler combustion process , multi-loop , nonlinear , delayed , time-varying characteristics . Fuzzy reasoning fuzzy neural network controller , to achieve real-time on-line measurement of key parameters of the combustion process , and solve the problem of the boiler control measurement and control of the time-domain adaptation . Fuzzy Neural Network Controller of the main steam and gas pressure simulation , by contrast with the traditional PID control , simulation results show that the fuzzy neural network controller system overshoot reduce the transition time , to achieve satisfactory control effect .

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CLC: > Industrial Technology > Automation technology,computer technology > Automation technology and equipment > Automation systems > Automatic control,automatic control system > Fuzzy control, fuzzy control system
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