You are in:Home/Publications/Adaptive Neuro-Fuzzy Inference System Based Field Oriented Control of PMSM & Speed Estimation

Dr. Waleed Abdel Aziz Salem Attia :: Publications:

Title:
Adaptive Neuro-Fuzzy Inference System Based Field Oriented Control of PMSM & Speed Estimation
Authors: Shawki Arfa Waleed Salem, Gomaa Osman
Year: 2018
Keywords: Not Available
Journal: 2018 Twentieth International Middle East Power Systems Conference (MEPCON), Cairo University, Egypt
Volume: Not Available
Issue: Not Available
Pages: Not Available
Publisher: Not Available
Local/International: International
Paper Link: Not Available
Full paper Waleed Abdel Aziz Salem Attia_papaer.docx
Supplementary materials Not Available
Abstract:

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 mathematical model of the PMSM 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 characterized by highly non-linear, complex and time-varying dynamics and inaccessibility of some of the states and outputs for measurements. MATLAB software is used to simulate the proposed system and the rotor speed are estimated and controlled when the motor operate at the constant and varying speed at two states of step change in the load torque. Results discovered a good efficiency of the complete drive system at different conditions.

Google ScholarAcdemia.eduResearch GateLinkedinFacebookTwitterGoogle PlusYoutubeWordpressInstagramMendeleyZoteroEvernoteORCIDScopus