Sensorless brushless dc motor control using type-2 fuzzy logic

Brushless DC motors are used in different fields today due to many advantages such as noiseless operation, maintenance cost, efficiency. In recent years, sensorless control techniques related to these engines have been developed and widely used. In addition, conventional controllers do not give the desired results as these motors are non-linear in nature. In this study, the brushless motor was used without a sensor and due to its non-linearity, the Type-2 fuzzy logic controller, which is one of the artificial intelligence techniques, was used to better resolve the uncertainties in the system. In simulation performed in Matlab-Simulink, PID, Type-1 and Type-2 Fuzzy Logic controller results were compared and as a result, it was observed that Type-2 Fuzzy Logic controller gave the most desired response in the system response.