Often for closed loop operation of a Brushless direct current (BLDC) motor, Hall-effect sensors are used and recently theirs been a number of papers discussing Fault Tolerant Control (FTC) of the BLDC motor for a defective Hall-effect sensor. However, so far direct redundancy based approach for FTC of BLDC motor for a position sensor fault is not presented. This paper, contributes a direct redundancy based method by utilizing redundant Hall-effect sensors for FTC of BLDC motor. Redundant Hall-effect sensors generate additional transitions resulting in faster fault detection. To verify the proposed idea, Matlab/Simulink model is developed and the simulation results are presented by programing a Matlab function block acting as a fault tolerant controller. Furthermore, the algorithm is implemented into the MicroLabBox for experimental validation and the results are discussed.
FEA Based Level 3 Assessment of Deformed Tanks with Fluid Induced Loads
A Direct Redundancy approach to Fault Tolerant Control of BLDC Motor with a damaged Hall-effect Sensor
1. ELECTRICAL PROJECTS USING MATLAB/SIMULINK
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A Direct Redundancy approach to Fault Tolerant Control of
BLDC Motor with a damaged Hall-effect Sensor
ABSTRACT:
Often for closed loop operation of a Brushless direct current (BLDC) motor, Hall-effect sensors
are used and recently theirs been a number of papers discussing Fault Tolerant Control (FTC) of
the BLDC motor for a defective Hall-effect sensor. However, so far direct redundancy based
approach for FTC of BLDC motor for a position sensor fault is not presented. This paper,
contributes a direct redundancy based method by utilizing redundant Hall-effect sensors for FTC
of BLDC motor. Redundant Hall-effect sensors generate additional transitions resulting in faster
fault detection. To verify the proposed idea, Matlab/Simulink model is developed and the
simulation results are presented by programing a Matlab function block acting as a fault tolerant
controller. Furthermore, the algorithm is implemented into the MicroLabBox for experimental
validation and the results are discussed.
KEYWORDS:
1. Brushless machines
2. Fault Tolerant Control
3. Hall-effect devices
4. Position measurement
5. Signal Reconstruction
6. Redundancy
SOFTWARE: MATLAB/SIMULINK
2. ELECTRICAL PROJECTS USING MATLAB/SIMULINK
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CONCLUSION:
Transitions of the redundant Hall-effect sensors provide supplementary opportunities to detect
faults within electrical 30° or in worst case in electrical 45° and therefore the proposed FTC
method results in faster fault compensation times as the experimental results show that the
compensation is done in less than electrical 30°. Compared to other FTC methods that use
Fourier coefficients and FFT calculations, requiring high end digital signal processors, this
method offers less complexity, improved compensation time, and reduces the computational
costs, however, use of direct redundancy does increase the system cost slightly. And
furthermore, in recent research, for constant speed operation of BLDC motor, the Hall-effect
sensor transitions are assumed to be equally spaced, however, experiments showed that
transitions are not equally spaced, which makes implementation of the FTC process more
complicated. To name a few reasons, there can be misaligned Hall-effect sensors, or cogging
torque. Since the redundant sensor method presented here only considers the Hall-effect sensor
signals, in that matter, the method presented in this paper offers robustness and simplicity.
REFERENCES:
[1]. J. Chiasson, Modeling and High-Performance Control of Electric Machines, Wiley-
Interscience, 2005.
[2]. A. Tashakori and M. Ektesabi, "A simple fault tolerant control system for hall effect sensors
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[3]. Q. Zhang and M. Feng, "Combined commutation optimisation strategy for brushless DC
motors with misaligned hall sensors," IET Electric Power Applications, vol. 12, no. 3, 2017.
3. ELECTRICAL PROJECTS USING MATLAB/SIMULINK
Gmail: asokatechnologies@gmail.com, Website: http://www.asokatechnologies.in
0-9347143789/9949240245
For Simulation Results of the project Contact Us
Gmail: asokatechnologies@gmail.com, Website: http://www.asokatechnologies.in
0-9347143789/9949240245
[4]. X. Song, J. Fang and B. Han, "High-precision rotor position detection for high-speed surface
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