Микроконтроллер для системы нечеткого регулирования в бездатчиковом вентильном электроприводе

The paper suggests an option to implement a control system for a BLDC sensorless drive using fuzzy logic. In this case, using a fuzzy logic controller makes the system more stable and increases the quality of motor control. After testing the system model in Simulink the authors created a base of fuzzy rules. Adjusting the drive phase switching moment is possible due to using the base of fuzzy rules. Fuzzy logic control system uses normalized values of current and a rate of rotation as input parameters. A fuzzy regulator adjusts the moment of commutation using the base of fuzzy rules. The paper describes the scheme and the algorithm of the proposed control system, which is based on a microcontroller. It also considers a program code for the microcontroller implementing the sensorless algorithm. The authors calculated minimal requirements for computational power of the microcontroller to create a control system. The analysis shows that almost any conventional industrial microcontroller is suitable for the proposed control system. As a result, it can be stated that using intellectual control methods in sensorless drive motors is reasonable due to the current level of computational devices' devel-opment. Such usage can significantly increase the quality of control while the cost of the whole system is almost the same.