PERFORMANCE EVALUATION OF TYPE-2 FUZZY LOGIC CONTROLLER FOR A SENSORLESS VECTOR CONTROLLED BRUSHLESS MOTOR

Topicality. Despite having some important features over other types of motors, due to their high non-linearity driving characteristics, controlling brushless motors may require some complex algorithms such as Vector Control (Field Oriented Control). In plants with high dynamic behavior and uncertainty, the control of these motors becomes even more sensitive. Under such conditions, vector control which consists conventional PID regulators may be insufficient. The purpose of the article. This study proposes a brushless motor drive with soft computing based vector control algorithm. The following results were obtained. A Type-2 Fuzzy Logic Controller (T2FLC) scheme for a sensorless vector-controlled brushless motor driver is presented. The study also aims to realize a comparison of performances between classical PI controllers and T2FLC, in the control of brushless motor systems where high dynamic characteristics and uncertainty situations are the two main problems. Conclusion. In the study, a Permanent Magnet Synchronous Motor (PMSM) is electrically modeled and a sensorless Field Oriented Control (FOC) scheme is applied to it. For closed loop speed control, both T2FLC and PI controllers are designed and their performance are compared to each other. All modeling and simulation study is realized in MATLAB/Simulink environment.