Yuan Gao

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Lecturer in Electrical and Electronic Engineering

University of Leicester

United Kingdom

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About

Yuan Gao is a Lecturer in Electrical and Electronic Engineering at the University of Leicester, UK. His research interests include optimization techniques for electrical machines, artificial intelligence applications in power systems, and control strategies for traction applications. Recent articles authored by Dr. Gao delve into energy minimization in train operations, advancements in speed control for permanent magnet synchronous motors, and methodologies for improving the robustness of electrical machine optimization.

Recent Grants

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Graduate school travel prize

Open Date: 2019-04-01

Close Date: 2019-07-01

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China tuition fee research scholarship at University of Nottingham

Open Date: 2017-10-01

Close Date: 2020-09-01

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Chinese National Award for Outstanding PhD Students Abroad 2021

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Starter Funding from School of Engineering

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Articles (21)

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2025

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2022

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2022

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2022

Collaborators (8)

Bing Ji

University of Leicester

UNITED KINGDOM

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Sergio Vazquez

Associate professor

Universidad de Sevilla

SPAIN

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Patrick Wheeler

Professor of Power Electronic Systems/ Head of Department

University of Nottingham

UNITED KINGDOM

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Lin Jiang

Reader

University of Liverpool

UNITED KINGDOM

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Feng Guo

University of Wisconsin-Milwaukee

UNITED STATES

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Xin Yuan

Assistant Professor/Lecturer

University of Aberdeen

UNITED KINGDOM

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Yue Zhao

University of Arkansas

UNITED STATES

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Serhiy Bozhko

University of Nottingham

UNITED KINGDOM

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Yuan Gao

Research Interests

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About

Recent Grants

Articles (21)

Artificial Intelligence and Digital Twin Technologies for Power Converter Control in Transportation Applications: A Review

Data-Driven Substation Energy Minimization for Train Speed-Profile and Dwell-Time Optimization

A Simple ANN-Aided Virtual-Space-Vector PWM Strategy for Three-Level NPC Traction Inverters With Coordinate-Data Mapping

Comparative study of sphere decoding algorithm and FCS-MPC for PMSMs in aircraft application

An Improved Two-Degree-of-Freedom Speed Controller for Permanent-Magnet Synchronous Motors

Effects of Eccentricity on the Back EMF of Multimodule Permanent Magnet Synchronous Machine for In-Wheel Traction Applications

An Improved Kriging Surrogate Model Method With High Robustness for Electrical Machine Optimization

Multi-Objective Optimization of Yokeless and Segmented Armature Machine for In-Wheel Traction Applications Based on the Taguchi Method

Modulation and Control Independent Dead-Zone Compensation for H-Bridge Converters: A Simplified Digital Logic Scheme

Temporal Impact of High-speed Railway Traction Load on Grid Voltage Considering the Uncertainty

Machine Learning-Based Optimization of Synchronous Rectification Low-Inductance Current Secondary Boost Converter (SLIC-QBC)

Emerging Information Technologies for the Energy Management of Onboard Microgrids in Transportation Applications

GA-LNS Optimization for Helicopter Rescue Dispatch

Inverse Application of Artificial Intelligence for the Control of Power Converters

Machine Learning-Based Evaluation of the Contribution Effectiveness in SoS Missions

Optimal Droop Control Design Using Artificial Intelligent Techniques for Electric Power Systems of More-Electric Aircraft

Artificial Intelligence Techniques for Enhancing the Performance of Controllers in Power Converter-Based Systems—An Overview

Helicopter Rescue for Flood Disaster: Scheduling, Simulation, and Evaluation

A Harmonic Suppression SVPWM Strategy for the Asymmetric Six-Phase Motor Fed by Two-Level Six-Phase VSI Operating in the Overmodulation Region

A Common-Mode Voltage Suppression Strategy Based on Double Zero-Sequence Injection PWM for Two-Level Six-Phase VSIs

Surrogate role of machine learning in motor-drive optimization for more-electric aircraft applications

Collaborators (8)

Bing Ji

Sergio Vazquez

Patrick Wheeler

Lin Jiang

Feng Guo

Xin Yuan

Yue Zhao

Serhiy Bozhko

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