| Summary: | 碩士 === 國立成功大學 === 電機工程學系碩博士班 === 90 === Application of Fuzzy Control Theory and Taguchi
Methods to Boiler Automatic Combustion Control
of Cogeneration Plant
Guo-shyong Yang＊ Ming-Shing Young＊＊
Department of Electrical Engineering
National Cheng Kung University , Tainan , Taiwan , R.O.C
Abstract
This thesis is mainly explore that the application of fuzzy control on the boiler Automatic Combustion Control (ACC) of the cogeneration plant. As the boiler combustion system is a non-linear system and the quality of system will be various with the changes of time. Hence, it is often essential for operator to adjust anew the control parameters of PID to adapt variation in the quality of system. Contrary, it is not necessary for a fuzzy control. Therefore, we can get a better control effect.
This research is to take aim on the Boiler Automatic Combustion of the cogeneration plant, which in nature is a complex system of non-linear and time-delay of combustion. We employed the fuzzy control theory for the design of the fuzzy controller and for the comparison of control efficacy between PID control and fuzzy control under the transfer function model of the boiler combustion system with different combustion time-delay. Moreover, for the design of the fuzzy controller, the membership function that designer choose may not always be the best combination of membership function parameters. Therefore, in this study, we introduced the Taguchi Quality Experiment Method, which through the way of Orthogonal Array experiment, we solved for a set of best parameters combination for input variable membership function enabling higher level of fuzzy control efficiencies.
In the final section of the thesis, coordinating actual Automatic Combustion Control operation with fuzzy control theory, we then proceeded with the fuzzy controller design for the cogeneration plant and calculated the operating amounts of system control and also provided related subjects for further exploration.
＊ The author
＊＊The advisor
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