[HTML][HTML] An enhanced direct instantaneous torque control of switched reluctance motor drives using ant colony optimization

F Al-Amyal, L Számel, M Hamouda - Ain Shams Engineering Journal, 2023‏ - Elsevier
The highly nonlinear characteristics of switched reluctance motors (SRMs) are the drawback
that complicates their control and modeling. Hence, obtaining the best performance …

Modeling and implementation of nonlinear boost converter using local feedback deep recurrent neural network for voltage balancing in energy harvesting applications

M Noohi, A Mirvakili… - International Journal of …, 2021‏ - Wiley Online Library
Balancing the voltage of series connected supercapacitors is a necessity. Various passive
and active balancing techniques are reported for alleviating the problems of leakage and …

[HTML][HTML] FEA-based pole arc optimization and sensitivity analysis of 8/6 SRM for EV application

S Rani, R Jayapragash - Results in Engineering, 2024‏ - Elsevier
The optimization of the pole arcs and sensitivity analysis of a 4-phase 8/6 Switched
Reluctance Motor (SRM) using the Finite Element Analysis (FEA) technique for the Electric …

Comparative assessment of a novel 8/18 multi-teeth with conventional 8/10 in-wheel SRM for an E-Scooter

B Sandesh Bhaktha, G Rahul Ramnihor… - Automatika: časopis za …, 2024‏ - hrcak.srce.hr
Electric scooters are increasingly gaining popularity in India owing to rising global crude oil
prices and rising levels of vehicular pollution. Most of them are currently powered by …

A hybrid approach based on recurrent neural network for macromodeling of nonlinear electronic circuits

A Faraji, SA Sadrossadat, M Yazdian-Dehkordi… - IEEE …, 2022‏ - ieeexplore.ieee.org
This paper proposes a hybrid approach combining Recurrent Neural Network (RNN) and
polynomial regression methods for time-domain modeling of nonlinear circuits. The …

Modeling and implementation of a novel active voltage balancing circuit using deep recurrent neural network with dropout regularization

M Noohi, A Faraji, SA Sadrossadat… - … Journal of Circuit …, 2023‏ - Wiley Online Library
Recurrent neural networks (RNN) emerged as powerful tools to model and analyze the
nonlinear behavior of electronic circuits accurately and quickly. Efforts to improve the …

A framework for statistical design of a brushless DC motor considering efficiency maximisation

SA Sadrossadat, O Rahmani - IET Electric Power Applications, 2022‏ - Wiley Online Library
In this study, a framework for statistical design of a brushless DC (BLDC) motor is proposed
in order to maximise yield while kee** efficiency as high as possible and the non‐linear …

Torque ripple minimization in an 8/6 switched reluctance motor drive: optimization using the AZOA method

MD Chaple, NT Deotale, NT Deotale - Australian Journal of …, 2025‏ - Taylor & Francis
In this manuscript, an American Zebra Optimization Algorithm (AZOA) is proposed for
minimising torque-ripple in an 8/6 switched reluctance motor (SRM) drive. The major …

Radial basis function‐based Pareto optimization of an outer rotor brushless DC motor

O Rahmani, SA Sadrossadat, M Noohi… - … Journal of Numerical …, 2024‏ - Wiley Online Library
This paper presents the development of an optimization and modeling method for the
objective functions of output power, efficiency and weight of an outer rotor permanent …

Design of high-speed four-phase SRM motor and its overload control using fractional-order controller

JD Pawar, MD Nikose, Y Pahariya - Electrical Engineering, 2024‏ - Springer
The switched reluctance motor has numerous design parameters that must be selected
properly to obtain high-speed and efficient motor design. Hence, it is mandatory to use an …