
Sensorless speed estimation of permanent magnet DC brushed motor considering the effect of armature teeth–slots and commutation
Author(s) -
Ghosh Mousam,
Ghosh Suman,
Saha Pradip Kumar,
Panda Goutam Kumar
Publication year - 2017
Publication title -
iet power electronics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.637
H-Index - 77
eISSN - 1755-4543
pISSN - 1755-4535
DOI - 10.1049/iet-pel.2016.0634
Subject(s) - armature (electrical engineering) , commutation , dc motor , control theory (sociology) , ripple , magnet , voltage , brushed dc electric motor , rotational speed , computer science , engineering , electrical engineering , ac motor , mechanical engineering , control (management) , artificial intelligence
This study proposes a novel technique of speed estimation for permanent magnet direct current (PMDC) brushed motor. The impact of armature teeth–slots and commutation of PMDC motor on armature current is considered in this study to estimate the speed. In many applications, speed measurement of motors is essentially required. Conventionally mechanical sensors are coupled to the motor shaft for speed measurement. Recently many sensorless methods for speed estimation of motor had been introduced. This study proposes a new method where the variation in effective magnetic path reluctance due to continuous alternation in teeth–slots positions with respect to stationery poles is considered. Combined effects of effective magnetic path reluctance variation and armature commutation cause ripple in armature current. In this study, the effect of teeth–slots in armature current is investigated using finite‐element approach and also it is verified experimentally. Furthermore, an elementary circuitry is included in this study in support of the proposed method from armature current. The performed test on a 24 V–100 W brushed PMDC motor indicates that the proposed method is effective in wide range of speed estimation considering the effect of change in mechanical load or terminal voltage level.