Transient state analysis of a permanent magnet stepper motor using discrete Kalman filter algorithm [articol]

Abstract

This paper estimates the micro step performance of an electromechanical stepper motor with permanent magnet rotor when subjected to load torque disturbances. The state of the art is to use sensor-less vector control strategy, that allows measurement and monitoring of un-measurable variables of the system. The Discrete Kalman filter algorithm estimates the mechanical variables of the system based on the initial state for constant motor parameters. The algebraic manipulation of the two phase dynamic system parameters and equations is carried out and the same simulated in MATLAB. The accuracy of the sensor-less control is obtained by determining steady state error between the actual and reference values. Further, the strength of the algorithm for motor parameter variants allows algorithm to check performance.