| Summary: | 碩士 === 國立中興大學 === 環境工程學系 === 89 === Combustion control plays a critical role in the normal operation of a refuse incinerating plant. A successful refuse incinerating process requires a robust combustion control in a stable state for a substantial amount of time. Not only can this increase power generation capacity, but also facilitates flue gas elimination in the future. Because of this, it is important to study the effect of relevant factors on combustion control and find an efficient control method on the basis of a well-defined operation model.
This thesis focuses on an in-depth study of automatic-combustion control (ACC in short). Automatic-combustion control is the heart of a refuse incinerating plant. Complex control operation and inappropriate operating model are two main problems of the present ACC. We identify three major factors that contribute to the two aforementioned problems: they are (1) flue gases mixing chamber temperature (2) heat value (3) refuse incinerating rate. We carry out an analytical study of the three factors and their respective effect on ACC. Our study is based on the knowledge-based and fuzzy logic control theory. Two control models are designed for the control process of refuse incineration. Simulators are implemented to verify correctness and accuracy of our proposed models. The research results show that controllers designed on our model reveal two characteristic features: simplicity of operation and ease of adaptation. We compare lab data generated by the simulations against empirical data measured in some refuse incinerating plants. We find that the proposed models can accelerate the process of refuse incineration and improve the stability of cogeneration plants. The research efforts and results demonstrate that the proposed models are economically and technically feasible.
Keywords: automatic-combustion control, refuse incinerating rate, fussy logic control, knowledge base
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