There are several non-idealities that can degrade magnetic Hall-effect sensors performance and impact related applications. Thus, a confidence weighted learning entropy (CWLE) is proposed as a fault-tolerant control strategy for field-oriented control (FOC) of permanent magnet synchronous machines (PMSM). It combines sensorless and sensor-based control, while capitalizing on their major advantages, such as operation from standstill and at lower speeds, fast dynamic response, and fault tolerance to encoder errors.

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Documentation: 
[1] Zdenek Novak, "Confidence Weighted Learning Entropy (CWLE)", IEEE Dataport, 2023. [Online]. Available: http://dx.doi.org/10.21227/pcem-zx93. Accessed: Jul. 22, 2024.
@data{pcem-zx93-23,
doi = {10.21227/pcem-zx93},
url = {http://dx.doi.org/10.21227/pcem-zx93},
author = {Zdenek Novak },
publisher = {IEEE Dataport},
title = {Confidence Weighted Learning Entropy (CWLE)},
year = {2023} }
TY - DATA
T1 - Confidence Weighted Learning Entropy (CWLE)
AU - Zdenek Novak
PY - 2023
PB - IEEE Dataport
UR - 10.21227/pcem-zx93
ER -
Zdenek Novak. (2023). Confidence Weighted Learning Entropy (CWLE). IEEE Dataport. http://dx.doi.org/10.21227/pcem-zx93
Zdenek Novak, 2023. Confidence Weighted Learning Entropy (CWLE). Available at: http://dx.doi.org/10.21227/pcem-zx93.
Zdenek Novak. (2023). "Confidence Weighted Learning Entropy (CWLE)." Web.
1. Zdenek Novak. Confidence Weighted Learning Entropy (CWLE) [Internet]. IEEE Dataport; 2023. Available from : http://dx.doi.org/10.21227/pcem-zx93
Zdenek Novak. "Confidence Weighted Learning Entropy (CWLE)." doi: 10.21227/pcem-zx93