The paper addresses the issue of constructing an adaptive control system for a dynamic plant using a fuzzy controller implemented as a Sugeno-type fuzzy system. For the technical implementation of the fuzzy controller, it is proposed to use an FPGA (field-programmable gate array) computing module, which is distinguished by its ability to integrate the control system with data collection into a single chip. This computing module is distinguished from known ones by its high computing power. The FPGA computing module in control systems allows it to operate with a significantly larger number of input and output streams in real-time data, and also, if necessary, the universality of the applied computing algorithms on one chip. Proposals for a method for selecting the bit depth of the fractional part of numbers, which makes it possible to ensure the necessary accuracy in the calculation of control signals. Adaptation of fuzzy controller parameters is carried out based on the “delta rule”, which makes it possible to significantly simplify the calculation of correction of fuzzy controller parameters and facilitate the implementation of the adaptation algorithm on various types of microcontrollers. To simplify the calculation of membership function parameters, it is proposed to use the min operation instead of the multiplication operation, which significantly reduces the calculation time of the transient process. As a dynamic plant, let's consider a DC motor. A comparative analysis of the proposed system of adaptive microcontroller control of a PI controller configured for optimal performance is presented.
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