2024 4th International Conference on Mechatronics, Automation and Intelligent Control(MAIC 2024)
MAIC 2023
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Prof. Xingjian Wang, Beihang University, China

王兴坚 教授,北京航空航天大学

Brief Introduction: 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).

Speech Title: Fault Diagnosis and Fault-tolerance Control for Aircraft Control System


According to the control 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 remaining useful life prediction of the key components of the aircraft control system, the key technology of fault diagnosis for 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. jiang Guo,Dalian University of Technology, China

郭江 教授,大连理工大学

Brief Introduction: Prof. Jiang Guo was selected for the National Overseas High-level Talent Introduction Program - Youth Program and the first "Xingliao Talent Program" Youth Top Talent Program. In the past five years, as the first or corresponding author, he has published more than 50 academic papers in famous international journals in the fields of manufacturing, friction, optics, etc., authorized more than 50 national invention patents, including 4 US invention patents, and registered 2 software copyrights. He has presided over more than 20 projects such as the National Natural Science Foundation of China, the National Key Research and Development Program and the "Insight Action" of the Equipment Development Department of the Military Commission, won more than 20 domestic and international academic awards, presided over 3 achievement transformations, and participated in 2 achievement appraisals.

Speech Title: Research on double-sided lapping process for weak rigidity components


Weak rigidity components are widely used in aerospace, national defense, military and other fields. They mainly simulate extreme application environments such as high temperature, high energy density and high pressure. Therefore, extremely high technical requirements are put forward for manufacturing accuracy, especially for flatness and parallelism. At present, the flying cutting process is commonly used to process weakly rigid components. However, the workpiece will be deformed after unloading due to the effect of machining and clamping stress. Therefore, a double-sided grinding process is adopted to improve the flatness and parallelism of the workpiece. For the double-sided lapping process, domestic and foreign scholars have researched roughness, material removal rate, trajectory calculation and other aspects, but the formation mechanism of flatness and parallelism still needs to be explored. This report describes the flatness and parallelism formation mechanism of a workpiece in double-sided lapping. It establishes a theoretical model to predict the workpiece's flatness and parallelism evolution trend. A strategy of flatness error convergence is proposed, and the extreme fabrication of flatness and parallelism of pure copper weakly rigid planar member (Φ200×2 mm) is realized due to 2 μm and 3 μm, respectively.


Prof. XiaodongXu, Central South University, China

徐晓东 教授,中南大学

Brief Introduction: Xiaodong Xu (Member, IEEE) received the B.Eng. degree in process control from the Beijing Institute of Technology, Beijing, China, in 2006, and the Ph.D. degree in process control from the University of Alberta, Edmonton, AB, Canada, in 2017. He is currently a Full Professor with the School of Automation, Central South University, Changsha, China, and a Visiting Scholar with the University of Alberta. His research involved robust/optimal control and fault estimation of infinite-dimensional systems including energy systems.

Speech Title: Adaptive learning based boundary output regulation of a class of 1-D hyperbolic PDEs systems


This work develops an adaptive boundary out- put regulation approach for a class of complex anti-collocated hyperbolic partial differential equations (PDEs) subjected to multiplicative faults in both the boundary sensor and actuator. Particularly, in the framework of output regulation, to realize that the pure boundary state at left side tracks a reference signal, it is required to exactly estimate faults and the state of the plant as well as the state of the virtual exosystem that is used to generate the external disturbance and reference signals. However, the coupling between the sensor fault and the system state in the boundary measurement makes the simultaneous estimation of states (of plant and exosystem) and faults much challenging; on the other hand, the accurate joint fault-state estimation usually requires persistence of excitation (PE) conditions while these conditions are hard to ensure in practice. To this end, a novel concurrent learning adaptive observer (CL-AO) is proposed such that the fault estimation and state estimation problems can be decomposed. It is the first time that the spirit of concurrent learning is introduced to the field of PDE systems and the novel employment of concurrent learning (CL) leads to relaxed verifiable excitation condition for the exponential convergence of fault estimation. Based on the estimated state and faults, the adaptive boundary fault tolerant control scheme is developed, and rigorous theoretical analysis is given such that the exponential output regulation can be achieved without the PE conditions. Finally, the effectiveness of the proposed methodology is demonstrated via comparative simulations.


Prof.Hui-Hwang Goh, Guangxi University, China

吴晖煌 教授,广西大学

Brief Introduction: Professor Ir. Dr. Hui-Hwang Goh, a renowned consultant in electrical engineering, has conducted extensive research. He is also a fellow of the ASEAN Academy of Engineering and Technology (AAET), a foreign fellow of the Chinese Society for Electrical Engineering (CSEE), and a fellow of the Institution of Engineers, Malaysia (IEM) for his contributions to the advancement of electrical engineering. He is registered with the Engineering Council of the United Kingdom (ECUK) and the Board of Engineers, Malaysia (BEM) as a Chartered and Professional Engineer. He is a Senior Member of IEEE-USA, an ASEAN Chartered Professional Engineer (ACPE), an APEC Engineer, and an International Professional Engineer under IPEA. Prof. Goh is an expert in power electronics, power systems, motor control, renewable energy, and multi-energy conversion. He has over one hundred publications with peer review, eight book chapters, and four international invention patents. He championed energy cooperation between China and ASEAN.