Técnicas adaptativas de controle aplicadas a um motor BLDC baseadas em lógica fuzzy e sua otimização por enxame de partículas

Abstract

The usage of Brushless Direct Current Electric Motor (BLDC) motors is each time more frequent in industrial appliances such as the automobilistic, aviation and robotics segment. In such applications the BLDC motor is exposed to many types of charge disturbance which makes the-conventional control methods, such as proportional-integral-derivative controller (PID), not reaching its variables with precision in cases of sudden perturbation and variation of the parameters. Thus, the PID controler might have its performance improved with the application of adaptative techniques which collect data from the operation system environment and make adjusts based in the condition where it is found, therefore minimizing flaws in the system. One of those techniques is the Fuzzy logic, however, the achievement of the parameters of the Fuzzy systems demands knowledge from the designer, this way at the end of the project there is no certainty that the optimum values have been reached. These parameters can be obtained through the usage of optimization techniques, such as the Particle Swarm Optimization (PSO), ensuring a better perfomance of the control system. This paper aims to accoplish the comparison between different control techniques, such as PID, Hibrid Fuzzy-PID e Hibrid Fuzzy-PID optimized by the PSO for the speed control in a BLDC motor, through simulations realizend on the Simulink software and its practical implementation in a ESP32 microcontroller.