Jun Fang

ORCID: 0000-0003-3302-671X
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About
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Research Areas
  • Microgrid Control and Optimization
  • Advanced Algorithms and Applications
  • Real-time simulation and control systems
  • Advanced Sensor and Control Systems
  • Sensorless Control of Electric Motors
  • HVDC Systems and Fault Protection
  • Wireless Sensor Networks and IoT
  • Silicon Carbide Semiconductor Technologies
  • Environmental and Social Impact Assessments
  • Data Mining Algorithms and Applications
  • Traffic Prediction and Management Techniques
  • Frequency Control in Power Systems
  • Industrial Technology and Control Systems
  • Advanced Combustion Engine Technologies
  • Simulation and Modeling Applications
  • Smart Grid Energy Management
  • Advanced Battery Technologies Research
  • Power Systems and Renewable Energy
  • 3D Surveying and Cultural Heritage
  • Optimal Power Flow Distribution
  • Advanced Measurement and Detection Methods
  • Advanced Aircraft Design and Technologies
  • Data Management and Algorithms
  • Water Quality Monitoring and Analysis
  • Embedded Systems and FPGA Design

Wuhan University of Technology
2022-2025

Nanjing University of Aeronautics and Astronautics
2022-2024

Shanghai Electric (China)
2023

Hubei University of Technology
2023

Jiangsu Yonggang Group (China)
2002

Yong-in Songdam College
2002

The starter generator, characterized by controllable starting torque and disturbance in generator load torque, poses challenges for the multi-electric aero engine control. key to addressing this issue lies control with collaboration of a generator. Firstly, model is established, comprising full-state turbofan enhance low-speed simulation capability an external characteristic improve real-time capability. Subsequently, methods coordination are proposed three processes, including process,...

10.3390/aerospace11040271 article EN cc-by Aerospace 2024-03-30

Abstract This study aims to enhance the speed tracking performance of surface-mounted permanent magnet synchronous motor (SPMSM) drive systems. A hybrid sliding mode controller is proposed, integrating a novel fast integral terminal control with an extended disturbance observer. Based on mathematical model SPMSM in rotating coordinate system, using surface designed. design improves both dynamic and steady-state performance. An improved dual power reaching law further developed as switching...

10.1088/1402-4896/add21b article EN Physica Scripta 2025-04-29

To address the problem of quantitative identification glass panel surface defects, a new method combining chaotic simulated annealing particle swarm algorithm (CSAPSO) and BP neural network is proposed for evaluation microwave detection signals defects. First, parameters optimization (PSO) are dynamically assigned using chaos theory to improve global search capability PSO. Then, CSAPSO-BP model constructed, return loss phase echo signal defects extracted as input feature quantity network,...

10.3390/s23031097 article EN cc-by Sensors 2023-01-18

The growing energy demand has promoted the popularization of DC transmission method. A multi-station distributed system with four photovoltaic modules transmitting via AC is used as a model for need to maintain frequency stability and minimize losses in scale system. predictive control method selected carry out multi-terminal optimization model. Finally, good performance prediction algorithm handling large-scale verified by simulation experiments.

10.1109/itnec56291.2023.10082330 article EN 2020 IEEE 4th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC) 2023-02-24

As an effective scheme to deal with voltage sags, dynamic regulator (DVR) has a wide range of applications in distribution networks, especially complex conditions, which require faster response time and power supply reliability. Under the influence load operation, DVR based on traditional PI control some problems, such as output fluctuation poor quality current waveform. This paper firstly conducts system modeling post-stage converter unit accurately. According regulation requirements, PI-P...

10.1109/repe59476.2023.10511851 article EN 2023-09-15

Today, the more electric aircraft (MEA) concept is gaining tremendous popularity. As a key component of MEA, auxiliary power unit (MEAPU) integrated model with high accuracy and real-time performance essential when conducting cooperative control hardware-in-the-loop (HIL) test research. This paper proposes novel MEAPU consisting component-level-model (CLM) starter-generator (SG) model. Firstly, CLM was built continuous scaling method for characteristic map in proposed to improve model’s...

10.3390/aerospace9120803 article EN cc-by Aerospace 2022-12-07
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