Modeling the operation of climate control system in premises based on fuzzy controller
Аннотации
Most of the currently existing microclimate control systems operate on the basis of
traditional P, PI, PID controllers. But the work of such systems is effective only in a narrow
operating range. With significant fluctuations in environment, it is required to reconfigure the
parameters of these regulators each time. In such cases, maintaining comfortable conditions in
the room is recommended by using intelligent control technologies, so-called fuzzy control
systems, operating in terms of fuzzy logic. The aim of the paper is to research the possibility of
implementation of intelligent control systems to maintain the comfortable microclimate in the
premises and checking the adequacy of the system through simulation. The climate control
system is based on fuzzy inference and provides forming the base of fuzzy production rules,
fuzzification of input values, aggregation of truth of sub conditions of each rule, activation of
conclusions and defuzzification process that generates an output signal to control the smart home
functional devices. Procedures of the fuzzy inference and simulation are implemented in the
Matlab programming environment using the Fuzzy Logic Toolbox and Simulink packages. The
results of the paper showed that the developed intelligent microclimate control system for
premises based on fuzzy logic provides a flexible self-tuning of the engineering equipment and
maintaining the microclimate parameters at the required level.