Field Oriented Sensorless Position Control of a Hybrid Stepper Motor with Extended Kalman Filter

被引：0

作者：

Tomy, Nilu Mary ^{[1
]}

Francis, Jebin ^{[1
]}

机构：

[1] Rajagiri Sch Engn & Technol, Dept EEE, Kochi, Kerala, India

来源：

PROCEEDINGS OF THE 10TH INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS AND CONTROL (ISCO'16) | 2016年

关键词：

Arm LPC2148; Extended Kalman filter (EKF); Field oriented control (FOC); MATLAB; Position control; Sensorless control; Stepper motor;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper describes the sensorless position control of a hybrid stepper motor. Extended Kalman filter algorithm is used for sensorless control. The extended Kalman filter estimates the position and speed required for the field oriented control. The currents and voltages of the two phases of stepper motor is sensed and used for the state estimation using extended Kalman filter. The estimated position is compared with the desired position and motor is stopped at the desired position. Sensorless control eliminates the need for mechanical sensors. Simulation is done in MATLAB. ARM LPC2148 processor is used for the hardware implementation of steady state Kalman filter.

引用

页数：5

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