Speakers

Prof. Xingjian Wang

Beihang University

Profile: Xingjian Wang received his Ph.D. and B.E. degrees in Mechatronic Engineering from Beihang University, China, in 2012 and 2006, respectively. From 2009 to 2010, he was a visiting scholar in the School of Mechanical Engineering, Purdue University, West Lafayette, IN, US. He is currently with the School of Automation Science and Electrical Engineering, Beihang University, Beijing, China. His research interests include nonlinear control for mechatronic systems, fault diagnosis and fault-tolerant control, biomechatronics and bio-inspired robotics. He has published over 100 papers. His research has been supported NSCF and other grants in China.

He is the Secretary-General of Industry Committee of Fluid Power Transmission and Control Institution (FPTCI), China Mechanical Engineering Society (CMES), the Deputy Director-General of Organization of Aviation Utility Systems (AUS), Chinese Society of Aeronautics and Astronautics (CSAA).

Title: Health Status Assessment and Fault-tolerance Control for Aircraft Control Syste.

Abstract: According to thecontrol command of the pilot or the autopilot, the aircraft control system drives the aircraft rudder through the servo actuator to realize the aircraft attitude and flight trajectory control. It can be seen that the healthy service of the aircraft control system directly affects the flight safety and is a very critical airborne system. In order to realize the highly reliable and healthy service of the aircraft control system, the health status assessment and remaininguseful life prediction of the key components of the aircraft control system, the key technology of fault diagnosisfor the airborne hydraulic system, and the high safety hierarchical active fault-tolerance control strategy were carried out to effectively improve the healthy service capability of the aircraft control system.

Prof. Changjun Liu

IEEE Senior Member

Sichuan University, China

Prof. Zhenbin Zhang

Shandong University

Xiamen University Malaysia

Malaysia

Profile: He received his bachelor's degree from Hebei University in 1994 and master's degree from Sichuan University in 1997. He has been engaged in teaching and research at Sichuan University since 1997. He received his PhD from Sichuan University in 2000 and was promoted to associate professor, professor in 2004 and doctoral supervisor in 2005. 2001-2002 Postdoctoral fellow, SeoulNationalUniversity, South Korea; 2006-2007 Visiting Scholar at UlmUniversity, Germany. He has been engaged in the research and application development of microwave circuits, microwave wireless energy transmission and microwave sources for a long time. In 2009, he won the Outstanding Young Discipline Leader of Sichuan Province, the New Century Talents of the Ministry of Education in 2013, the "Excellent Teaching" award of Sichuan University in 2017, the Tugong Expert of Sichuan Province in 2018, and the first prize of Sichuan Province Technology Invention in 2019. Since 2013, he has been the director of the Teaching and Research Department of radio Physics.

Title: Microwave Wireless Power Transmission in Space

Abstract: Microwave Wireless Power Transmission (MWPT) stands as a revolutionary technology, utilizing microwaves for efficient long-distance energy transmission. By capturing solar energy in space, converting it into microwaves, and beaming it to Earth, MWPT enables the development of Space Solar Power Satellites (SSPS). These satellites, equipped with solar arrays, operate uninterrupted in space, offering a continuous energy supply. The history and recent advances of MWPT are introduced briefly. The applications of MWPT in space are discussed in detail. This transformative technology not only advances space exploration but also addresses terrestrial energy needs, marking a significant leap towards a cleaner, more sustainable energy future.

-----------------------------------------------------------------------------------------------------------------------------

Profile: 

2011-2016: Technical University of Munich, Electrical engineering and energy Doctor of Engineering (suma cum laude)

2016-2017: Technical University of Munich, Researcher and Head of research group

2017-present: Shandong University, Professor and Ambassador for International Collaboration

2018-2022: Technical University of Munich, August-Wilhelm Scheer Guest Professor

2022-2023: University of Cambridge, Guest Professor

National Distinguished Expert (1000 Talents Program) of China, Selected as "Distinguished Young Scholars of Shandong Province", outstanding young and middle-aged scholar of Shandong University, the leader of the scientific research team of “Smart Energy and offshore Equipment” and Lab for More Power Electronic Energy Systems (MPEES). Focus on intelligent energy and high-quality power conversion system and its predictive control.

Research Area:

Intelligent energy and high-quality power conversion system; Sustainable energy system and smart girds; Predictive control

Title: Recent development of predictive encoderless control for AC motor drives

Abstract: Encoderless control for AC motor drives is an important technique to improve system reliability and reduce hardware cost. Recent years, fundamental/high frequency model-based observers, accompanied with vector control technique, has accomplished numerous advances and has been partially applied in industry areas. However, a single fundamental/high frequency model-based method cannot achieve full speed operation, requiring the combination of two methods. In recent years, it has been found that predictive controller has the potential to replace additional pulse signal injection because it can accurately know the output voltage pulse sequences, which can obtain the position information of the salient pole motor by detecting the current slope. This tutorial is aim to introduce the recent development of predictive encoderless control for AC motor drives. In addition to the expected combination of predictive control and pulse signal injection method, the cooperation of predictive control and fundamental frequency model method will also be introduced.

-----------------------------------------------------------------------------------------------------------------------------

Profile: Associate Professor Ir. Ts. Dr. Wong Shen Yuong has more than 10 years of working experience in the  industry and academia. Currently she is a Professional Engineer (PEng) in Electrical Engineering  registered to the Board of Engineers Malaysia (BEM), a Senior Member of The Institute of Electrical  and Electronics Engineer (IEEE), Corporate Member of Institutions of Engineers Malaysia (IEM), and Accreditation Panel of Engineering Accreditation Council (EAC). She enjoys conducting research  related to Artificial Intelligence (AI) and Computational Intelligence (CI), and also serves as an Editorial  Board Member for several journals.

RESEARCH INTERESTS:

Artificial Intelligence, Computational Intelligence, Neural Networks, Extreme Learning Machine,  Computer Vision, Internet of Things (IOT), Environmental Waste Management, Power system faults  detection and diagnosis, Regression and Forecasting.