Hybrid Computational Mechanical Sensorless Fuzzified Technique for Speed Estimation of Permanent Magnet Direct Current Brushed Motor

This paper proposes a novel fuzzified mechanical sensorless speed estimation technique for permanent magnet direct current (PMDC) brushed motor operated with pulse width modulation (PWM) based terminal voltage. For replacement of conventional mechanical speed sensors, few mechanical sensorless speed...

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Bibliographic Details
Published in:IEEE transactions on industrial electronics (1982) 2018-06, Vol.65 (6), p.4565-4573
Main Authors: Ghosh, Mousam, Saha, Pradip Kumar, Panda, Goutam Kumar
Format: Article
Language:English
Subjects:
Back electromotive force
Brushes
Commutation
Computational mechanics
Computer simulation
DC motors
Direct current
Estimation
fuzzified
permanent magnet direct current (PMDC) brushed motor
Permanent magnet motors
Permanent magnets
Pulse duration
Pulse duration modulation
Pulse width modulation
slotting effect
speed estimation
Switches
Time-domain analysis
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Summary:This paper proposes a novel fuzzified mechanical sensorless speed estimation technique for permanent magnet direct current (PMDC) brushed motor operated with pulse width modulation (PWM) based terminal voltage. For replacement of conventional mechanical speed sensors, few mechanical sensorless speed estimation techniques have been reported recently in the field of PMDC brushed motor. In this paper, a novel technique is applied over a recently reported semianalytical dynamic time-domain PMDC brushed motor model incorporating space-domain effects, namely slotting effect and commutation phenomenon to simulate the proposed estimation process. Ripple and back electromotive force based standalone estimation approaches are hybridized in order to eliminate uncertainties in all regions of estimation. In this paper, a discrete fuzzified hybrid speed estimation model has been proposed with adequate dynamic simulation responses. Further the proposed discrete speed estimation model has been applied experimentally over a PWM-driven 24-V, 12-teeth, 100-W PMDC brushed motor and various dynamic real-time responses have been compared with conventionally captured speed samples to validate the proposed model.
ISSN:0278-0046
1557-9948
DOI:10.1109/TIE.2017.2767553