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

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 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.