It has been proposed to use absorption chillers that use solar energy for food processing enterprises. The simulation of the system in the Matlab environment showed that it is necessary to install digital controllers in temperature control systems that ensure the maintenance of the specified accuracy.

Taking into account the non-linear, time-varying temperature characteristics of the tunnel kiln, high inertia and some uncertainty of its parameters, it’s difficult to create an accurate mathematical model and get an acceptable set of the controller of the control system. The asynchronous motor actuator of the system, which regulates the amount of gas and air to change the temperature, gives the system first-order a statism. A conventional PID controller does not provide the required quality parameters of temperature control in the entire possible range of changes in the parameters of the controlled object. Thus, the synthesis of an additional fuzzy PID controller is required to ensure the required quality of regulation. Of course, PID control and fuzzy intelligence will provide effective self-tuning of the parameters of controlled PID controllers. A simulation experiment in Matlab shows that fuzzy PID control reduces the time and magnitude of overshoot, effectively increasing the stability of the system by giving it robustness properties.

Research stages of the indoor temperature adjustment system have been suggested. The capability assessment of indoor temperature adjustment with analog and discrete models of the control system was carried out. Robust absolute stability of the control system to the influence of endogenous and exogenous uncertainties was studied. Analytical results of the investigation were confirmed by a simulation conducted with the help of Matlab