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D-Index & Metrics

Electronics and Electrical Engineering

D-Index
45
Citations
8077
World Ranking
3558
National Ranking
565

Overview

Fengxiang Wang is affiliated with the Chinese Academy of Sciences in China. Their research primarily focuses on the field of Engineering, with significant contributions to Electrical and Electronic Engineering, Control and Systems Engineering, Mechanical Engineering, Automotive Engineering, and Aerospace Engineering.

The scientist's work covers various specialized topics, including:

  • Multilevel Inverters and Converters
  • Sensorless Control of Electric Motors
  • Advanced DC-DC Converters
  • Microgrid Control and Optimization
  • Electric Motor Design and Analysis
  • Iterative Learning Control Systems
  • Magnetic Bearings and Levitation Dynamics

Fengxiang Wang has published extensively, with frequent appearances in high-impact venues. The main publication venues include:

  • IEEE Transactions on Industrial Electronics
  • IEEE Transactions on Power Electronics
  • IEEE Transactions on Energy Conversion
  • 2021 IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics (PRECEDE)
  • IEEE Journal of Emerging and Selected Topics in Power Electronics

Some of their recent published papers are:

  • "Latest Advances of Model Predictive Control in Electrical Drives-Part I: Basic Concepts and Advanced Strategies," 2021, IEEE Transactions on Power Electronics
  • "Latest Advances of Model Predictive Control in Electrical Drives-Part II: Applications and Benchmarking With Classical Control Methods," 2021, IEEE Transactions on Power Electronics
  • "Optimal Cost Function Parameter Design in Predictive Torque Control (PTC) Using Artificial Neural Networks (ANN)," 2020, IEEE Transactions on Industrial Electronics
  • "FPGA-Based Predictive Speed Control for PMSM System Using Integral Sliding-Mode Disturbance Observer," 2020, IEEE Transactions on Industrial Electronics
  • "Robust Continuous Model Predictive Speed and Current Control for PMSM With Adaptive Integral Sliding-Mode Approach," 2021, IEEE Transactions on Power Electronics

Fengxiang Wang collaborates regularly with a group of frequent coauthors. These include:

  • José Rodríguez
  • Dongliang Ke
  • Ralph Kennel
  • Haotian Xie
  • Yao Wei

Best Publications

  • Finite-Control-Set Model Predictive Torque Control With a Deadbeat Solution for PMSM Drives

    Wei Xie;Xiaocan Wang;Fengxiang Wang;Wei Xu

  • Latest Advances of Model Predictive Control in Electrical Drives. Part I: Basic Concepts and Advanced Strategies

    Jose Rodriguez;Cristian Garcia;Andres Mora;Freddy Flores-Bahamonde

  • Model-Based Predictive Direct Control Strategies for Electrical Drives: An Experimental Evaluation of PTC and PCC Methods

    Fengxiang Wang;Shihua Li;Xuezhu Mei;Wei Xie

  • Deadbeat Model-Predictive Torque Control With Discrete Space-Vector Modulation for PMSM Drives

    Yuanlin Wang;Xiaocan Wang;Wei Xie;Fengxiang Wang

  • Latest Advances of Model Predictive Control in Electrical Drives. Part II: Applications and Benchmarking with Classical Control Methods

    Jose Rodriguez;Cristian Garcia;Andres Mora;Alireza Davari

  • Advanced Control Strategies of Induction Machine: Field Oriented Control, Direct Torque Control and Model Predictive Control

    Fengxiang Wang;Zhenbin Zhang;Zhenbin Zhang;Xuezhu Mei;Xuezhu Mei;José Rodríguez

  • Synthesis and characterization of PAn/clay nanocomposite with extended chain conformation of polyaniline

    Q. Wu;Z. Xue;Z. Qi;F. Wang

  • A Very Simple Strategy for High-Quality Performance of AC Machines Using Model Predictive Control

    Margarita Norambuena;Jose Rodriguez;Zhenbin Zhang;Fengxiang Wang

  • Using Full Order and Reduced Order Observers for Robust Sensorless Predictive Torque Control of Induction Motors

    S. A. Davari;D. A. Khaburi;Fengxiang Wang;R. M. Kennel

  • Parameter and performance comparison of doubly fed brushless machine with cage and reluctance rotors

    Fengxiang Wang;Fengge Zhang;Longya Xu

  • Parallel Predictive Torque Control for Induction Machines Without Weighting Factors

    Fengxiang Wang;Haotian Xie;Qing Chen;S. Alireza Davari

  • Model predictive control for electrical drive systems-an overview

    Fengxiang Wang;Xuezhu Mei;Jose Rodriguez;Ralph Kennel

  • Generalized Proportional Integral Observer Based Robust Finite Control Set Predictive Current Control for Induction Motor Systems With Time-Varying Disturbances

    Junxiao Wang;Fengxiang Wang;Gaolin Wang;Shihua Li

  • Zynq Implemented Luenberger Disturbance Observer Based Predictive Control Scheme for PMSM Drives

    Long He;Fengxiang Wang;Junxiao Wang;Jose Rodriguez

  • Dynamic Loss Minimization of Finite Control Set-Model Predictive Torque Control for Electric Drive System

    Wei Xie;Xiaocan Wang;Fengxiang Wang;Wei Xu

  • Design and Implementation of Disturbance Compensation-Based Enhanced Robust Finite Control Set Predictive Torque Control for Induction Motor Systems

    Junxiao Wang;Fengxiang Wang;Zhenbin Zhang;Shihua Li

  • Optimal Cost Function Parameter Design in Predictive Torque Control (PTC) Using Artificial Neural Networks (ANN)

    Mateja Novak;Haotian Xie;Tomislav Dragicevic;Fengxiang Wang

  • Finite Control Set Model Predictive Torque Control of Induction Machine With a Robust Adaptive Observer

    Fengxiang Wang;S. Alireza Davari;Zhe Chen;Zhenbin Zhang

  • FPGA-Based Experimental Investigation of a Quasi-Centralized Model Predictive Control for Back-to-Back Converters

    Zhenbin Zhang;Fengxiang Wang;Tongjing Sun;Jose Rodriguez

  • An Encoderless Predictive Torque Control for an Induction Machine With a Revised Prediction Model and EFOSMO

    Fengxiang Wang;Zhenbin Zhang;S. Alireza Davari;Reza Fotouhi

  • Active Disturbance-Rejection-Based Speed Control in Model Predictive Control for Induction Machines

    Liming Yan;Fengxiang Wang;Manfeng Dou;Zhenbin Zhang

  • Nonlinear Direct Control for Three-Level NPC Back-to-Back Converter PMSG Wind Turbine Systems: Experimental Assessment With FPGA

    Zhenbin Zhang;Fengxiang Wang;Junxiao Wang;Jose Rodriguez

  • Encoderless Finite-State Predictive Torque Control for Induction Machine With a Compensated MRAS

    Fengxiang Wang;Zhe Chen;Peter Stolze;Jean-Francois Stumper

Frequent Co-Authors

Ralph Kennel
Ralph Kennel Technical University of Munich
Jose Rodriguez
Jose Rodriguez San Sebastián University
Yongchang Zhang
Yongchang Zhang North China Electric Power University
Shihua Li
Shihua Li Southeast University
Tomislav Dragicevic
Tomislav Dragicevic Technical University of Denmark
Zaicheng Sun
Zaicheng Sun Beijing University of Technology
Robert D. Lorenz
Robert D. Lorenz University of Wisconsin–Madison
Tobias Geyer
Tobias Geyer ABB (Switzerland)
Ziruo Hong
Ziruo Hong University of California, Los Angeles
Shu Wang
Shu Wang Chinese Academy of Sciences

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