Nowadays, the fuzzy PID parameter self-tuning controller’s application in industry is not often reported, it is first proposed for the beer fermentation control to integrate with Smith forecast estimate compensation controller, model identification arithmetic based on fuzzy Takagi- Sugeno model, and fuzzy PID parameter self-tuning controller. The background of dissertation is the project “Liaoning Fushun Tianhu Beer Limited Company Beer Fermentation Computer Control System”. The control object manifests the characteristics such as nonlinear, large time delay, time-varying and strong relevance, and the conventional control arithmetic is not much effective, so the advanced control arithmetic as mentioned above is adopted. It takes two months to collect date, debug programme, modify program in the field, the advanced control arithmetic is finally placed in operation. The whole dissertation is divided into six chapters, as follows: 1. Introduced the main characteristic of process control system and the development and application of the advanced control arithmetic. The beer fermentation control related to the dissertation is discussed in detail. 2. Elaborated the beer fermentation object and process control speciality. 3. Addressed the corresponding advanced control arithmetic and the whole 4. Stated the element and structure of fuzzy PID parameter self-tuning controller, described detailedly the design of the controller. Programmed the fuzzy PID parameter self-tuning controller for the beer fermentation temperature control by Siemens S7300 PLC, and put forward finally the judge control arithmetic. 5. Introduced the theory and structure of Smith forecast estimate compensation controller, and how to program. As the qualification of Smith forecast estimate compensation controller is strict, model identification arithmetic based on fuzzy Takagi-Sugeno model is proposed and programmed. 6. Conclusions and recommendations.
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