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Binary Diagnosis of Hall Effect Sensors in Brushless DC Motor Drives
- Source :
- IEEE Transactions on Power Electronics. 35:3859-3868
- Publication Year :
- 2020
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2020.
-
Abstract
- Commonly, three Hall effect sensors are used to detect the rotor position in brushless motors. Since one of these sensors may fail and lead to unstable operation, fault-tolerant control (FTC) of Hall sensor drives has attracted renewed research attention recently to ensure very high reliability. This article presents simple combinatory functions to detect fails in Hall effect sensors based only on Hall sensors signals, which require just a memory of 3 b. The proposed method guarantees more reliability and overcomes erroneous alarms that can be triggered by previous fault diagnosis methods using the information on the observed acceleration, which may be the subject of unexpected variations and lead consequently to false diagnosis. In addition, the article opens the discussion about the BLDC startup with a faulty sensor, in order to perform FTC algorithms ensuring a long use of the motor given the difficulty to repair Hall effect sensors inserted between the coils inside the stator. To confirm the theoretical analysis, experimental results are reported and limitations on the performances of the faulty system in terms of fault detection and signal reconstruction algorithm are discussed. The proposed schemes circuits can be inserted in conventional drive systems or by being placed between the existing driver and the motor.
- Subjects :
- Computer science
Stator
business.industry
Rotor (electric)
020208 electrical & electronic engineering
Electrical engineering
02 engineering and technology
Fault (power engineering)
DC motor
Fault detection and isolation
law.invention
Acceleration
Reliability (semiconductor)
law
0202 electrical engineering, electronic engineering, information engineering
Hall effect sensor
Electrical and Electronic Engineering
business
Electronic circuit
Subjects
Details
- ISSN :
- 19410107 and 08858993
- Volume :
- 35
- Database :
- OpenAIRE
- Journal :
- IEEE Transactions on Power Electronics
- Accession number :
- edsair.doi...........b89f0d0d94b02a1b24fd7ed00efd2155
- Full Text :
- https://doi.org/10.1109/tpel.2019.2934794