Modeling and Variables Estimation of a Two-phase Stepper Motor by using Extended Kalman Filter
نویسندگان
چکیده
This paper presents the detailed mathematical and Simulink® model of a two-phase stepper BLDC motor in the machine variables, proving the rotor's position role in supplying the motor. Then an extended Kalman filter (EKF) is designed to estimate the motor state variables: stator currents, and the rotor position and velocity, on the basis of noisy measurements of stator currents, since it has a nonlinear function with time. The temperature change effects on the motor's performance are verified. Simulation results show that the motor's rotor position and velocity can be estimated in a satisfactory accuracy by the proposed method. Keywords— BLDC motor, EKF, Estimation, Stepper motor. —————————— ——————————
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