Fuzzy logic based heating and temperature maintenance algorithm for the beer brewing process

Matjaž Okretič (2013) Fuzzy logic based heating and temperature maintenance algorithm for the beer brewing process. EngD thesis.

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Abstract

The thesis represents improved algorithm, which manages the number of active heaters for heating and maintaining temperature in the beer brewing process, based on fuzzy logic. The goals of the new algorithm are lower time and energy consumption in addition to lesser end temperature deviation from the desired temperature. Steps necessary for the algorithm development are divided into several chapters. First is an environment presentation. It holds a description of kettle and its elements important for heating and maintaining the temperature. There is also a description of the whole beer brewing process and the existing algorithm of which results need to be improved. The tools used for the development are also presented in this chapter. The second chapter is intended for determining the properties of the environment. Here we have the acquisition of environment data regarding the temperatures and active heater information in various probable scenarios as well as the result interpretation. Algorithm development description consists of a short fuzzy logic presentation which is followed by an extensive presentation of fuzzy variables and associated fuzzy sets. The rules that act as a base for the fuzzy logic operation and the defuzzyfication method selection are also presented. Next is the new versus old algorithm result comparison. It consists of duration comparison and a comparison of end temperature deviation from the desired temperature within heating and maintaining temperature. The energy consumption comparison of both algorithms is also presented. Conclusion consists of algorithm development final findings and suggestions for possible further work in this area.

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