Publication
Title
Load angle estimation for dynamic stepping motor motion applications
Author
Abstract
Stepping motors are well-suited for open-loop positioning tasks at low power. Every time the user sends a next pulse, the stepping motor driver excites the correct stator phases to rotate the rotor over a predefined discrete angular position. In that way, counting the step command pulses enables open-loop positioning. However, when the motor is overloaded or stuck, step loss occurs, and the relation between the expected rotor position and the actual rotor position is lost. Nowadays, the vast majority of the open-loop stepping motor methodologies do not detect this step loss. Especially for dynamically demanding applications where the stepping motor is used close to its operating boundaries, step loss is highly probable. Using a mechanical position sensor to detect and counteract step loss would increase the overall cost, the size of the machine, complexity of the system. Therefore in this paper, a dynamic sensorless load angle estimator based on the classical Transfer Function Analyzer (TFA) technique in the angular domain is presented. This load angle reflects the capability of the system to follow the position setpoint and gives an indication of the robustness against torque disturbances. The algorithm needs no tuning and can be used with the conventional full-, half- and micro-stepping algorithm. The estimation algorithm only needs one current and one voltage measurement and the electrical parameters of the stator winding to estimate the load angle. The proposed algorithm is validated through measurements on a hybrid stepping motor.
Language
English
Source (journal)
Mechatronics. - Oxford
Publication
Oxford : 2018
ISSN
0957-4158
Volume/pages
53 (2018) , p. 229-240
ISI
000441654400019
Full text (Publisher's DOI)
Full text (publisher's version - intranet only)
UAntwerpen
Faculty/Department
Research group
Publication type
Subject
Affiliation
Publications with a UAntwerp address
External links
Web of Science
Record
Identification
Creation 07.09.2018
Last edited 20.09.2021
To cite this reference