A review of powertrain electrification for greener aircraft
X Roboam - Energies, 2023 - mdpi.com
This review proposes an overview of hybrid electric and full electric powertrains dedicated to
greener aircraft in the “sky decarbonization” context. After having situated the state of the art …
greener aircraft in the “sky decarbonization” context. After having situated the state of the art …
Machine learning enhancing metaheuristics: a systematic review
During the optimization process, a large number of data are generated through the search.
Machine learning techniques and algorithms can be used to handle the generated data to …
Machine learning techniques and algorithms can be used to handle the generated data to …
A generalized PID interpretation for high-order LADRC and cascade LADRC for servo systems
It is well known that proportional-integral-derivative (PID) controllers are dominant in
industrial scenarios. PID with high-order derivative or integral terms named generalized PID …
industrial scenarios. PID with high-order derivative or integral terms named generalized PID …
[HTML][HTML] Surrogate role of machine learning in motor-drive optimization for more-electric aircraft applications
Motor drives form an essential part of the electric compressors, pumps, braking and
actuation systems in the More-Electric Aircraft (MEA). In this paper, the application of …
actuation systems in the More-Electric Aircraft (MEA). In this paper, the application of …
Efficient management of energy consumption of electric vehicles using machine learning—A systematic and comprehensive survey
Electric vehicles are growing in popularity as a form of transportation, but are still underused
for several reasons, such as their relatively low range and the high costs associated with …
for several reasons, such as their relatively low range and the high costs associated with …
A robust bayesian optimization framework for microwave circuit design under uncertainty
In modern electronics, there are many inevitable uncertainties and variations of design
parameters that have a profound effect on the performance of a device. These are, among …
parameters that have a profound effect on the performance of a device. These are, among …
Artificial Intelligence Techniques for Enhancing the Performance of Controllers in Power Converter-based Systems-An Overview
Y Gao, S Wang, T Dragicevic… - IEEE Open Journal …, 2023 - ieeexplore.ieee.org
The integration of artificial intelligence (AI) techniques in power converter-based systems
has the potential to revolutionize the way these systems are optimized and controlled. With …
has the potential to revolutionize the way these systems are optimized and controlled. With …
[HTML][HTML] Neural Network aided PMSM multi-objective design and optimization for more-electric aircraft applications
This study uses the Neural Network (NN) technique to optimize design of surface-mounted
Permanent Magnet Synchronous Motors (PMSMs) for More-Electric Aircraft (MEA) …
Permanent Magnet Synchronous Motors (PMSMs) for More-Electric Aircraft (MEA) …
Inverse application of artificial intelligence for the control of power converters
This article proposes a novel application method, inverse application of artificial intelligence
(IAAI) for the control of power electronic converter systems. The proposed method can give …
(IAAI) for the control of power electronic converter systems. The proposed method can give …
Integrated optimal design for hybrid electric powertrain of future aircrafts
This paper presents the integrated optimal design of the powertrain of a hybrid regional
aircraft using multidisciplinary design optimization (MDO). The sizing of the main …
aircraft using multidisciplinary design optimization (MDO). The sizing of the main …