<p>This article presents the stages of designing intelligent controllers based on fuzzy logic for technological processes that are technically complex, especially those that require adjustments to many physical parameters. The main task of controllers of this class is to determine their optimal values and provide higher quality indicators than PID controllers in the presence of external influences and <br /> parametric uncertainties within the framework of the problem of controlling technological processes in industry. To solve the current problem, a controller combining fuzzy logic and fractional-order arithmetic is proposed. STM32 microcontrollers, in particular the STM32FG407VET6 model, were selected for the <br /> practical implementation of this type of controller, and the controller software was developed in the STM32CubeIDE environment in the C++ programming language. The article describes in depth the theoretical aspects of the evolutionary creation of the proposed controller and describes in detail the stages or sequence of creation of the control algorithm. The results of the practically organized experiments show that the controller has achieved high efficiency in controlling complex technical <br /> control systems with nonlinearity and uncertainty. The results of the conducted experimental experiments are shown through graphs and simulation diagrams obtained in the MATLAB and STM32 environments. Also, the theoretical foundations and methodological guidelines presented can serve as a valuable resource for engineers of intellectual control systems and advanced specialists in the field of <br /> automation. </p>