Sensorless Position Control of Stepper Motor Using Extended Kalman Filter
نویسنده
چکیده
This paper describes simple position control of sensorless hybrid stepper motor (HSM). A mathematical model for hybrid stepper motor is derived using mechanical and electrical equations, which is used to estimate the position of the motor using Extended Kalman Filter (EKF). In position control, estimated value is compared with the reference position and when both coincide, the motor is held at a particular position for specified time and brought back to original position. The simulation results are presented.
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Simulation of Sensorless Position Control of a Stepper Motor with Field Oriented Control Using Extended Kalman Filter
Stepper motors are used for position control applications. The sensorless position control for a hybrid stepper motor without using mechanical sensors is presented in this paper. Extended Kalman filter is used to estimate the instantaneous speed and position required for the field oriented control of the stepper motor. Extended Kalman filter algorithm estimates the state of the system from the ...
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