An investigation about Hall effect sensors' efficiency is confirmed in permanent magnet synchronous motor (PMSM) drive systems. A fuzzy control algorithm is used as an artificial intelligence controller. Large scale and low slopes are used for creating membership functions and a sensitive controller is obtained. Speed is wanted to be taken under control and a minimum error value is aimed. PMSM drive systems are established using MATLAB-Simulink/SimPower. Simulations are realized with real-time parameters in discrete mode. A fuzzy logic controller is designed by using the MATLAB/Fuzzy Logic Toolbox. A normalization technique and high resolution output of the fuzzy logic controller (FLC) are unique aspects of the work. Input variable bandwidths are narrowed and the number of membership functions is reduced. The taken steps provide positive effects against variation of input parameters. Finally, sharp impacts are not produced by the fuzzy controller. Results verified that the Hall effect supported controller system gives better results than sensorless one. This is especially observed at change points of reference speed. Low complitude oscillations and short settling time are achieved on speed and torque signals.
Permanent magnet synchronous motor, fuzzy logic, artificial intelligence, power electronics, discrete time systems
ALIŞKAN, İBRAHİM and YILMAZEL, RÜSTEM
"Pure fuzzy Hall effect sensors for permanent magnet synchronous motor,"
Turkish Journal of Electrical Engineering and Computer Sciences: Vol. 24:
5, Article 21.
Available at: https://journals.tubitak.gov.tr/elektrik/vol24/iss5/21