Fault‐Tolerant Control of <scp>BLDC</scp> Motors: Fault‐Tolerant Control Methodology for Hall‐Effect Sensor Fault Detection and Energy Efficiency Optimization

ABSTRACT Electrical motors' effectiveness, optimization, and dependability have led to significant developments in the industrial revolution. Rotor commutation is essential for smooth operation and is done by energizing the proper rotor. The study introduces an innovative methodology for fault‐tolerant control of Hall‐Effect sensors governing brushless direct current (BLDC) motors. The implemented result validates the substantial saving of energy. The implementation here is unique and effective because the BLDC motor will be operated even if there is a fault in the Hall‐Effect sensor. It will run smoothly and efficiently unless the two sensor failures are detected. This method addresses situations where the signal from a Hall Effect sensor stays consistently low or high for short periods. This developed system is mature enough to handle the subsystem when the data from the sensor detects faults, identifies faulty signals, and creates a replacement signal. The proposed research work uses MATLAB Simulink and the TI‐DSP (TMS320F2812) KIT to show the high‐speed simulation. The simulation results were validated through different motor speeds from 3500 to 2000 rpm. Drawbacks like cost and reliability have been overcome in the implemented research work. In the implemented research work, the simulation outcome shows approximately 10% better results in generating more torque than the existing methods using sinusoidal windings.

Authors

Institutions

Publication Details

Journal
Advanced Control for Applications
Published
2025-02-23
DOI
https://doi.org/10.1002/adc2.70002
Citations
2
Primary Topic
Sensorless Control of Electric Motors
Type
article
Field-Weighted Citation Impact
1.46
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Fault‐Tolerant Control of BLDC Motors: Fault‐Tolerant Control Methodology for Hall‐Effect Sensor Fault Detection and Energy Efficiency Optimization

Asad Ullah, Ishfaq Ahmad, Yimei Xu, Hongfei Hu et al.
2 citations
Advanced Control for Applications
Sensorless Control of Electric Motors
1.46
article

Fault‐Tolerant Control of BLDC Motors: Fault‐Tolerant Control Methodology for Hall‐Effect Sensor Fault Detection and Energy Efficiency Optimization

Asad Ullah, Ishfaq Ahmad, Yimei Xu, Hongfei Hu, Amna Khatoon
article en
2 citations

Abstract

ABSTRACT Electrical motors' effectiveness, optimization, and dependability have led to significant developments in the industrial revolution. Rotor commutation is essential for smooth operation and is done by energizing the proper rotor. The study introduces an innovative methodology for fault‐tolerant control of Hall‐Effect sensors governing brushless direct current (BLDC) motors. The implemented result validates the substantial saving of energy. The implementation here is unique and effective because the BLDC motor will be operated even if there is a fault in the Hall‐Effect sensor. It will run smoothly and efficiently unless the two sensor failures are detected. This method addresses situations where the signal from a Hall Effect sensor stays consistently low or high for short periods. This developed system is mature enough to handle the subsystem when the data from the sensor detects faults, identifies faulty signals, and creates a replacement signal. The proposed research work uses MATLAB Simulink and the TI‐DSP (TMS320F2812) KIT to show the high‐speed simulation. The simulation results were validated through different motor speeds from 3500 to 2000 rpm. Drawbacks like cost and reliability have been overcome in the implemented research work. In the implemented research work, the simulation outcome shows approximately 10% better results in generating more torque than the existing methods using sinusoidal windings.

Advanced Control for ApplicationsVol. 7(1)
Northwestern Polytechnical University (CN), Chang'an University (CN)
Openalex Percentile: Top 19%
Sensorless Control of Electric Motors
1.46
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Fault‐Tolerant Control of <scp>BLDC</scp> Motors: Fault‐Tolerant Control Methodology for Hall‐Effect Sensor Fault Detection and Energy Efficiency Optimization — Asad Ullah, Ishfaq Ahmad, et al. · Advanced Control for Applications (2025) | TGRS Research Map | TGRS