Advanced features and industrial applications of FPGAs—A review
Field programmable gate arrays (FPGAs) have established themselves as one of the
preferred digital implementation platforms in a plethora of current industrial applications, and …
preferred digital implementation platforms in a plethora of current industrial applications, and …
Sensorless control of electric drives–a technological review
Electric drive without electrical and mechanical sensors is the critical obligation in most of
the industrial applications due to its user-friendly hardware, lower maintenance, low cost …
the industrial applications due to its user-friendly hardware, lower maintenance, low cost …
Optimized FPGA implementation of model predictive control for embedded systems using high-level synthesis tool
Model predictive control (MPC) is an optimization-based strategy for high-performance
control that is attracting increasing interest. While MPC requires the online solution of an …
control that is attracting increasing interest. While MPC requires the online solution of an …
A general framework for FPGA-based real-time emulation of electrical machines for HIL applications
Hardware-in-the-loop (HIL) technology is increasingly becoming the preferred, reliable, and
cost-effective alternative in a virtual scenario for tedious, time-consuming, and expensive …
cost-effective alternative in a virtual scenario for tedious, time-consuming, and expensive …
Position sensorless control without phase shifter for high-speed BLDC motors with low inductance and nonideal back EMF
W Li, J Fang, H Li, J Tang - IEEE Transactions on Power …, 2015 - ieeexplore.ieee.org
This paper presents a novel method for position sensorless control of high-speed brushless
DC motors with low inductance and nonideal back electromotive force (EMF) in order to …
DC motors with low inductance and nonideal back electromotive force (EMF) in order to …
Machine learning for the control and monitoring of electric machine drives: Advances and trends
This review article systematically summarizes the existing literature on utilizing machine
learning (ML) techniques for the control and monitoring of electric machine drives. It is …
learning (ML) techniques for the control and monitoring of electric machine drives. It is …
Physics-based device-level power electronic circuit hardware emulation on FPGA
W Wang, Z Shen, V Dinavahi - IEEE Transactions on Industrial …, 2014 - ieeexplore.ieee.org
Accurate models of power electronic devices are necessary for hardware-in-the-loop (HIL)
simulators. This paper proposes a digital hardware emulation of device-level models for the …
simulators. This paper proposes a digital hardware emulation of device-level models for the …
Fast commutation instant shift correction method for sensorless coreless BLDC motor based on terminal voltage information
X Zhou, X Chen, F Zeng, J Tang - IEEE Transactions on Power …, 2017 - ieeexplore.ieee.org
Due to the phase delay caused by low-pass filter, device retarding, and software retarding,
the extracted sensorless motor commutation signal deviation occurs. Unfortunately, the …
the extracted sensorless motor commutation signal deviation occurs. Unfortunately, the …
Detailed magnetic equivalent circuit based real-time nonlinear power transformer model on FPGA for electromagnetic transient studies
J Liu, V Dinavahi - IEEE Transactions on Industrial Electronics, 2015 - ieeexplore.ieee.org
A detailed power transformer electromagnetic transient model would help in accurately
predicting transient stresses and formulating adequate protection strategies in power …
predicting transient stresses and formulating adequate protection strategies in power …
Artificial intelligence in electric machine drives: Advances and trends
S Zhang - Authorea Preprints, 2021 - techrxiv.org
This review paper systematically summarizes the existing literature on applying classical AI
techniques and advanced deep learning algorithms to electric machine drives. It is …
techniques and advanced deep learning algorithms to electric machine drives. It is …