Inductance Estimation of PMSM Using Extended Kalman Filter

Estimation of parameters Permanent Magnet Synchronous Motor (PMSM) plays an important role for motor controller tuning in Electric Vehicle (EV) application. Under running condition vary due to different effects such as temperature, saturation and Voltage Source Inverter (VSI) non-linearities. Identification increases the control performance system. This paper uses Extended Kalman Filter (EKF), which allows estimation d-q axis inductances PMSM. The algorithm considered here is Field Oriented Control (FOC) EV system having position sensor. simulation performed using MATLAB- Simulink software. results show that EKF identifies d- q- Ld, Lq considering measurement process noise a state space model equations implementation.