This paper deals with using Extended Kalman Filter (EKF) as a powerful tool in estimate of parameters and states of six-phase induction motor (6PIM). The speed-sensorless field-oriented control of 6PIM supplying by SVPWM is used to estimate of parameters in parameter variations. The EKF algorithm estimate stator flux, stator current, and stator resistance by measurement of stator currents of inverter. The estimation algorithms based on the stator fluxes is tested under load variations in the high velocity. The simulation results presented in this paper explain the performance of proposed method in the six-phase induction machine drive.