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Adaptive Neuro-Fuzzy Inference System Based Field Oriented Control of PMSM & Speed Estimation

2018 Twentieth International Middle East Power Systems Conference MEPCON • 2018
العودة
معلومات البحث
المؤلفون Waleed Abdel Aziz Salem, Gomaa Fahmy Osman, Shawki Hamed Arfa
الكلمات المفتاحية Not Available
المجلة العلمية 2018 Twentieth International Middle East Power Systems Conference MEPCON
الناشر IEEE
المجلد Not Available
العدد Not Available
الصفحات 626-631
publication.type International
رابط البحث Not Available
المواد المرفقة Not Available
الملخص
This paper studies the speed sensor-less Field Oriented Control (FOC), of permanent magnet synchronous motor (PMSM) fed by a space vector pulse width modulation (SVPWM). The characteristics for the PMSM is considered by two different algorithms, the first one is a Model Reference Adaptive System (MRAS) and the second algorithm utilized Adaptive Neuro-Fuzzy Inference System (ANFIS). The PMSM mathematical model is evaluated by ANFIS and MRAS algorithms under different speed and load torque in terms of stator voltage and torque equations. The motor speed is controlled via FOC and proportional - integral controller (PI) method. PMSM were considered by using highly non-linear, complex, time dependents (dynamics state), and unapproachability of some of the states and outputs for measurements. MATLAB package is used in this paper to simulate the proposed system and the rotor speed are …