Robust Load-Torque Estimation for DC Motor without Torque Sensor

被引：0
|
作者：
Fabbri, Stefano [1 ]
Nienhaus, Matthias [1 ]
Grasso, Emanuele [1 ]
机构：
[1] Saarland Univ, Lab Actuat Technol, Saarbrucken, Germany
来源：
2019 AEIT INTERNATIONAL ANNUAL CONFERENCE (AEIT), 111TH EDITION | 2019年
关键词：
Robustness; Robust Filtering; Estimation Technique; DC Machine;
D O I：
10.23919/aeit.2019.8893289
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
External load-torque estimation for electrical motor is important in order to improve control performance as well as obtaining information about interaction with the environment. This paper presents a performance and robustness comparison among three different types of algorithms for the estimation of the external load-torque for low-power DC motors. The Kalman filter is presented as the standard estimation technique and it is compared to the H-infinity filter and the Super-Twisting Sliding Mode Observer (STSMO). The algorithms are based on the position and speed measurements of the rotor.
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页数：6
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