An experimentally validated novel analytical approach for modeling of a saturated switched reluctance motor
D Roy, M Sengupta - IEEE Transactions on Magnetics, 2022 - ieeexplore.ieee.org
This article proposes a new “switched lumped reluctance network”-based equivalent circuit
for a switched reluctance motor (SRM) under saturation. The proposed circuit incorporates …
for a switched reluctance motor (SRM) under saturation. The proposed circuit incorporates …
Investigations on current waveform unbalance in a conventional switched reluctance motor even under healthy operating conditions at steady state
D Roy, M Sengupta - Sādhanā, 2022 - Springer
This paper presents a detailed analysis of current unbalance in a conventional switched
reluctance motor (SRM) even under healthy operating condition at steady state. It is …
reluctance motor (SRM) even under healthy operating condition at steady state. It is …
Phase flux linkage estimation of external rotor switched reluctance motor with NARX neural network
In this study, the stator phase flux linkage of a switched reluctance motor was estimated
using a nonlinear autoregressive network with external input (NARX) neural network (NN) …
using a nonlinear autoregressive network with external input (NARX) neural network (NN) …
A novel and precise on-line digital measurement of unsaturated phase inductance of a switched reluctance motor
D Roy, M Sengupta - Sādhanā, 2019 - Springer
This paper presents a simple and accurate method for the on-line measurement of the
unsaturated phase inductance of a switched reluctance motor (SRM). The basic principle …
unsaturated phase inductance of a switched reluctance motor (SRM). The basic principle …
Real time simulation of a switched reluctance motor on a miniature full spectrum simulator
This paper deals with the mathematical modelling and performance analysis of a 4 phase
4kW 1500 RPM 8/6 switched reluctance motor (SRM) with an accurate modelling of phase …
4kW 1500 RPM 8/6 switched reluctance motor (SRM) with an accurate modelling of phase …
Flux Linkage Identification of IPM Motor Through Neural-Network Considering Speed Impact
An IPM motor is a primary electric motor broadly used in the electric vehicle (EV) industry, in
which flux-linkage estimation is critical for the operation and control of the motor. This paper …
which flux-linkage estimation is critical for the operation and control of the motor. This paper …
[图书][B] Artificial Intelligence and Machine Learning for Control and Operation of Electric Vehicles and Machine Drives
W Dong - 2021 - search.proquest.com
TITLE PAGE Page 1 ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING FOR
CONTROL AND OPERATION OF ELECTRIC VEHICLES AND MACHINE DRIVES by …
CONTROL AND OPERATION OF ELECTRIC VEHICLES AND MACHINE DRIVES by …
Adaptive Fuzzy Neural Network Modelling and Simulation of Switch Reluctance Motor
X Dong - 2023 IEEE International Conference on Electrical …, 2023 - ieeexplore.ieee.org
Due to the highly nonlinear relationship between the magnetic flux linkage, phase current,
and rotor position of a switch reluctance motor (SRM), the torque generated by the SRM …
and rotor position of a switch reluctance motor (SRM), the torque generated by the SRM …