ICMTIM 2024
2024 5th International Conference on Mechatronics Technology and Intelligent Manufacturing (ICMTIM 2024) came to a successful conclusion!
On April 27, 2024, 2024 5th International Academic Conference on Mechatronics Technology and Intelligent Manufacturing (ICMTIM 2024) was successfully held in Nanjing, Jiangsu Province. The conference was hosted by Nanjing Tech University, College of Electrical Engineering and Control Science, Nanjing Tech University, co-organized by China University of Mining and Technology, Hohai University, Jiangsu Province Automation Society, the conference was successfully held in the form of online + offline combination.
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ICMTIM 2024 Opening Ceremony
The opening ceremony was officially opened at 9 am on the 27th, presided over by Professor Gu Zhou, director of the Department of Mechanical and Electronic Engineering of Nanjing Forestry University, and the representative conference warmly welcomed the arrival of experts and scholars.
ICMTIM 2024 Conference speech
Professor Shen Moquan, director of the Faculty Committee of the School of Electrical Engineering and Control Science of Nanjing University of Technology, said at the opening ceremony of the meeting that he hoped that the convening of this conference can promote the academic development and experience in the field of mechronics technology and intelligent manufacturing, collision sparks of scientific and technological innovation, and wish the conference a successful convening.
Keynote report of ICMTIM 2024
The conference invited Professor Chi Ronghu from Qingdao University of Science and Technology, Professor Yang Xianyi from the University of Guelph in Canada, Professor Chen Qiang from Zhejiang University of Technology, Professor Shen Moquan from Nanjing University of Technology and Professor Zhu Song from China University of Mining and Technology to make exciting presentations and carry out discussions on the latest research areas of "Mechatronics technology" and "intelligent manufacturing". The participating experts exchanged the latest research results and advanced experience in the development of the industry, and shared their unique insights on the development trend and research and development direction of the industry.
池荣虎教授，青岛科技大学
Prof. Ronghu Chi, Qingdao University of Science and Technology, China
演讲题目:永磁直线电机的数据驱动学习控制方法学
Data-driven Learning Control for Permanent Magnet Linear Motor
Professor Ji Ronghu proposed a data-driven learning control method based on extended state observer (ESO). Iterative dynamic linearization is used to process complex and unknown PMLM nonlinear dynamic systems, and iterative ESO is used to estimate non-repetitive perturbations. The proposed learning control law can use PMLM repetitive running features to learn the previous control knowledge. The approach presented in the report is data-driven and does not require the complex mechanistic model information of PMLM. The report gives a detailed report from the aspects of problem description, algorithm design, theoretical analysis and simulation research.
杨先一教授，加拿大圭尔夫大学
Prof. Simon X. Yang, University of Guelph, Canada
演讲题目:多自主水下机器人系统的仿生智能运动与合作
Bio-inspired Intelligent Navigation and Cooperation of Multiple Autonomous Underwater Robotic Systems
Professor Yang Xianyi started with a very simple introduction to biology-inspired computational neurodynamics algorithms and their applications to early vision and sensorimotor in biological systems. On this basis, the neurodynamic intelligent control of various underwater autonomous robot systems is introduced, such as real-time path planning, tracking and control of underwater autonomous robot systems. And intelligent navigation and collaboration of multi-robot systems.
陈强 教授，浙江工业大学
Prof. Qiang Chen, Zhejiang University of Technology, China
演讲题目:伺服系统预设时间自适应学习控制
Servo system preset time adaptive learning control
Professor Chen Qiang explained that the servo system has the characteristics of unknown parameters, inaccurate model and strong nonlinearity, which brings serious challenges to the design of control system. Intelligent adaptive control, which combines the advantages of intelligent learning and adaptive control, is considered as one of the effective methods to solve the control problem of nonlinear uncertain systems. At the same time, the research work of the research group on adaptive learning control of servo system preset time and the preliminary results have been briefly introduced.
沈谋全教授，南京工业大学
Prof. Moquan Shen, Nanjing Tech University, China
演讲题目:数据驱动事件触发优化控制
Data-driven event-triggered optimal control
Professor Moquan Shen discusses the problem of data-driven event-triggered optimization control for nonlinear systems. Firstly, based on the revised index introduced, two kinds of optimal data-driven control laws are presented by adaptive dynamic programming method and Q-learning algorithm respectively. Then, two novel event triggering mechanisms are constructed using instantaneous and average data and performance cost respectively. Then, sufficient conditions are proposed to ensure the final uniform boundedness of the closed-loop error system. Finally, some examples are given to verify the effectiveness of the proposed scheme.
朱松教授，中国矿业大学
Prof. Song Zhu, China University of Mining and Technology, China
演讲题目:动态忆阻时滞细胞神经网络的稳定性
Stability of Dynamic Memristor Cellular Neural Networks with Time Delay
Professor Song Zhu introduced that compared with ordinary neural networks, dynamic memristor neural networks have one outstanding advantage: when the steady state is reached, all the voltages, currents and power consumption of dynamic memristor neural networks disappear, and the memristor can be used as a non-volatile memory to store the calculation results. His latest progress on stability of dynamic memristor neural networks with time delay is described in detail, including stability (single stability, multi-stability) and some results of event-triggered synchronization.
At 2 PM on the 27th, the morning meeting continued, and in the afternoon, under the chairing of Professor Zheng Bochao, deputy dean of the School of Automation of Nanjing University of Information Science and Technology, scholars from different universities and institutes made oral reports on their professional research results in an orderly manner.
Oral presentation by ICMTIM 2024
During the conference, experts and scholars actively interacted in oral reports, poster displays, free exchanges and other links to jointly discuss the latest research results in this field.
王中鲜，黑龙江大学
Zhongxian Wang, Heilongjiang University, China
汇报题目：基于双桥P1S3架构的宽范围非隔离型三端口变换器
Title: A wide-range dual-bridge non-isolated three-port converter based on P1S3 architecture
翟斌，太原科技大学
Bin Zhai, Taiyuan University of Science and Technology, China
汇报题目：面向防疫巡检机器人的路径规划研究
Title: Research on path planning of inspection robots for epidemic prevention
魏幸元，山东大学
Xingyuan Wei, Shandong University, China
汇报题目：基于一阶调速器模型的阻尼电力系统扰动频率最大偏差
Title: Frequency maximum deviation of a damped power system disturbance based on a first-order governor model
慕龙飞，山东大学
Longfei Mu, Shandong University, China
汇报题目：一种虚拟同步机复合低电压穿越策略
Title: A Compound Virtual Synchronous Machine Strategy for Low Voltage Ride Through
陈曦，电子科技大学
Xi Chen, University of Electronic Science and Technology of China, China
汇报题目：高频响ALTP热流敏感薄膜及传感器
Title: High-frequency response ALTP heat flux sensitive thin film and sensor
黄涛，南京工业大学
Tao Huang, Nanjing Tech University, China
汇报题目：基于动态阈值算法的扰动系统周期事件触发次优LQR控制
Title: Periodic Event-triggered Sub-optimal LQR Control of Disturbed System with a Dynamic Threshold Algorithm
姚舒晏，北京石油化工学院
Shuyan Yao, Beijing Institute of Petrochemical Technology, China
汇报题目：一种基于复杂曲面焊缝的柔性仿形移动焊接机器人设计方法
Title: Design methodology of a flexible contour tracing mobile welding robot for complex surface welds
王好，重庆大学
Hao Wang, Chongqing University, China
汇报题目：连续柔性防渗墙成墙工艺及设备
Title: Continuous flexible cutoff wall formation: technology and equipment
廖舒婷，中国船舶及海洋工程设计研究院
Shuting Liao, Marine Design and Research Institute of China, China
汇报题目：基于BP神经网络与粒子群算法的海洋柔性管骨架层多目标优化设计
Title: Multi-objective optimization design for the carcass of marine flexible pipes based on BP neural network and particle swarm algorithm
冯慧慧，河海大学
Huihui Feng, Hohai University, China
汇报题目：微沟槽对水润滑轴承静动态特性的影响研究
Title: Effects of groove textures on the static and dynamic performances of water-lubricated bearing
魏梦晓，山东科技大学
Mengxiao Wei, Shandong University of Science and Technology, China
汇报题目：LSSVM数学模型与应用综述
Title: A Review of LSSVM Mathematical Models and Applications
王文静，北京科技大学
Wenjing Wang, University of Science and Technology Beijing, China
汇报题目：3D打印制品表面的激光抛光成形和强化技术
Title: Laser Polishing Forming and Strengthening of 3D Printed Product Surfaces
褚扬，山东大学
Yang Chu, Shandong University, China
汇报题目：潜油电机油摩擦损耗影响因素的计算与分析
Title: Calculation and Analysis of Influencing Factors of Oil Friction Loss in Submersible Motor
郭嘉辉，山东大学
Jiahui Guo, Shandong University, China
题目：基于支持向量机的电力系统状态估计数据异常检测
Title: Data Anomaly Detection in Power System State Estimation Based on Support Vector Machine
齐晓丽，山东大学
Xiaoli Qi, Shandong University, China
题目：基于动态修正系数自适应下垂控制的分布式储能SOC平衡策略
Title: Distributed Energy Storage SOC Balancing Strategy Based on Adaptive Droop control with Dynamic Correction Coefficients
ICMTIM 2024 Awards & Awards
The conference awarded outstanding papers and outstanding Young scholars report awards to encourage researchers who have made outstanding contributions in the field of mechatronics technology and intelligent manufacturing!
ICMTIM 2024 closing speech
At the end of the meeting, Professor Shen Moquan once again, on behalf of the organizing committee, expressed his heartfelt thanks to the experts and scholars attending the conference, and gave a macro outlook on the future development goals of China's mechronics technology and intelligent manufacturing! And I wish the next ICMTIM more brilliant, can build a more warm atmosphere of international academic exchange, create more collaborative development cooperation opportunities!