Comparative analysis of regulators in systems of microclimate

Abstract

The article is devoted to the research and comparison of the effectiveness of the application of classical P-,
PI-, PID- and fuzzy regulators in the microclimate control systems of the room. A method for modeling and controlling the
process of microclimate formation in a fuzzy environment using a fuzzy inference system, that allows solving the problems of
unclear initial information due to the experience and knowledge of experts in the subject area is proposed in the article. The
results of mathematical modeling of a control system with a fuzzy regulator are presented in the work on the example of an air
conditioning control system in a room. The simulation was performed on the basis of the Mamdani algorithm. The procedures
of the Mamdani algorithm such as: the formation of a rule base for fuzzy inference systems, the fuzzification of input variables,
аggregation of the rule outputs (composition), activation, accumulation of conclusions, defuzzification of input variables are
described. Procedures of the Mamdani algorithm are implemented in the Matlab programming environment using the Fuzzy
Logic Tollbox package.