Follow
Yang Sun
Yang Sun
BorgWarner Inc, the University of Alabama
Verified email at borgwarner.com
Title
Cited by
Cited by
Year
Artificial neural network for control and grid integration of residential solar photovoltaic systems
Y Sun, S Li, B Lin, X Fu, M Ramezani, I Jaithwa
IEEE transactions on sustainable energy 8 (4), 1484-1495, 2017
1382017
Artificial neural networks for Volt/VAR control of DER inverters at the grid edge
S Li, Y Sun, M Ramezani, Y Xiao
IEEE Transactions on Smart Grid 10 (5), 5564-5573, 2018
552018
Combining droop and direct current vector control for control of parallel inverters in microgrid
M Ramezani, S Li, Y Sun
IET Renewable Power Generation 11 (1), 107-114, 2017
422017
A novel direct-current vector control technique for single-phase inverter with L, LC and LCL filters
S Li, X Fu, M Ramezani, Y Sun, H Won
Electric Power Systems Research 125, 235-244, 2015
312015
DQ-reference-frame based impedance and power control design of islanded parallel voltage source converters for integration of distributed energy resources
M Ramezani, S Li, Y Sun
Electric Power Systems Research 168, 67-80, 2019
222019
Approximate dynamic programming vector controllers for operation of IPM motors in linear and overmodulation regions
Y Sun, S Li, X Fu, W Dong, M Ramezani, B Balasubramanian
IEEE Transactions on Transportation Electrification 7 (2), 659-670, 2021
82021
DSP implementation of a neural network vector controller for IPM motor drives
Y Sun, S Li, M Ramezani, B Balasubramanian, B Jin, Y Gao
Energies 12 (13), 2558, 2019
42019
Comparison of conventional and a novel direct-current vector control for a LCL-filter based VSC-converter connected to weak grid
Y Sun, S Li
2016 IEEE Power and Energy Society General Meeting (PESGM), 1-5, 2016
42016
Comparison of conventional and A novel direct-current vector control approaches for a LCL-filter based STATCOM
Y Sun, S Li
2015 IEEE Power & Energy Society General Meeting, 1-5, 2015
32015
Neural Network with Cloud-Based Training for MTPA, Flux-Weakening and MTPV Control of IPM Motors and Drives
W Dong, S Li, Y Gao, B Balasubramanian, YK Hong, Y Sun, B Cheng
IEEE Transactions on Transportation Electrification, 2023
12023
Ensuring a Smooth Transition from Linear Modulation, through Overmodulation, and into Six-Step
Y Sun, CW Secrest
2023 IEEE Energy Conversion Congress and Exposition (ECCE), 4856-4861, 2023
2023
Smooth transition control between overmodulation and six step pulse width modulation
Y Sun, CW Secrest
US Patent 11,777,435, 2023
2023
Artificial neural network control system for autonomous volt/VAR control of inverter in interfaced units
S Li, Y Sun, M Ramezani, Y Xiao
US Patent 11,415,950, 2022
2022
Systems, methods and devices for approximate dynamic programming vector controllers for operation of IPM motors in linear and over modulation regions
S Li, X Fu, H Won, Y Sun
US Patent 10,367,437, 2019
2019
Approximate dynamic programming and artificial neural network control of electric vehicles: from motor drives to grid integration
Y Sun
The University of Alabama, 2019
2019
The system can't perform the operation now. Try again later.
Articles 1–15