Title :
Position Control of a Sensorless Stepper Motor
Author :
Bendjedia, Moussa ; Ait-Amirat, Youcef ; Walther, Bernard ; Berthon, Alain
Author_Institution :
Ecole Centrale Marseille, Lab. des Sci. de l´´Inf. et des Syst., Marseille, France
Abstract :
In this paper, the experimental results of position control of the hybrid stepper motor without a mechanical sensor are exhibited. Use of the steady-state extended Kalman filter to estimate the mechanical variables of the motor is shown. With this method the computing time is reduced. The initial rotor position is estimated by the impulse voltage technique. For position control, a simple state feedback control that can compensate the load torque variations was designed. The robustness against the motor parameters variation was also studied. A field-oriented control strategy is chosen. It is known that the mechanical position is crucially important to achieve this strategy. Finally, favorable experimental results are shared.
Keywords :
Kalman filters; machine vector control; position control; rotors; sensorless machine control; state feedback; stepping motors; torque; field oriented control strategy; hybrid stepper motor; impulse voltage technique; load torque variations; mechanical variable estimation; motor parameter variation; position control; rotor position; sensorless stepper motor; state feedback control; steady-state extended Kalman filter; Covariance matrix; Equations; Kalman filters; Mathematical model; Rotors; Steady-state; Torque; DSP; extended Kalman filter (EKF); feedback control; field-oriented control; hybrid stepper motor (HSM); position control; sensorless;
Journal_Title :
Power Electronics, IEEE Transactions on
DOI :
10.1109/TPEL.2011.2161774