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Research on the elimination mechanism of postgraduates under the quality assurance system of higher education: An example of the school of mechatronic engineering and automation of Shanghai University 2019

Research on the elimination mechanism of postgraduates under...

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2019 International Conference on Modern Educational Technology, ICMET 2019

作者： Zan, Peng Xue, Yingjie Chang, Meihan School of Mechatronics Engineering and Automation of Shanghai University Shanghai200072 China

ISBN: (纸本)9781450372220

In recent years, with the development of society, the country needs more and more high-level talents, which provides a great opportunity for the development of postgraduate education in China. Due to the large-scale continuous expansion of enrollment, however, the quality of graduate education has become increasingly prominent. With the development of education reform and the needs of the times, the quality of postgraduate education should be improved in China. The implementation of the elimination mechanism has become a new requirement of the times, which is related to the development direction of each graduate student and the development trend of high-level talents in society. According to the postgraduate education mode of "school of Mechatronic engineering and automation of Shanghai University (MEASHU)", this paper proposes a kind of elimination mechanism about high-quality postgraduate education, which mainly includes two parts, one is the transitional elimination mechanism of education and correction, the other is the interrupted elimination mechanism of punishment and expulsion, for improving the quality of postgraduate education effectively. © 2019 ACM.

关键词： Students

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TSA based optimization to dc voltage and dc modulation for high-voltage ride-through (HVRT) of DFIG: school of Electrical engineering and automation, Hefei University of Technology, Hefei 230009, China 6

TSA based optimization to dc voltage and dc modulation for h...

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6th IEEE International Electrical and Energy Conference, CIEEC 2023

作者： Li, Shenghu Zhao, Qirui School of Electrical Engineering and Automation Hefei University of Technology Hefei China

ISBN: (纸本)9798350346671

During the recovery process after the short fault at the grid side, the doubly-fed induction generator (DFIG) may suffer from overvoltage of the dc-link and over-modulation of the grid-side converter (GSC). Increasing the dc voltage reference improves the modulation of the GSC, but increases the dc overvoltage. A larger dc capacitor suppresses the dc voltage, but deteriorates the dc modulation. The PI parameters of the DFIG may also be adjusted to suppress the dc overvoltage and improve the modulation. Coordinating the dc voltage reference, the dc capacitance, and/or the PI parameters may improve the high-voltage ride-through (HVRT) capability of the DFIG, which has not been studied yet. In this paper, the analytical expression of the trajectory sensitivities of the dc voltage with respect to above parameters is newly proposed, based on which an index of the dc voltage is newly defined to select the critical parameters. Change of dc voltage reference after the grid voltage recovery is included to damp the 2nd dc overvoltage, which adds the difficulty of solving the trajectory sensitivity. The objective function combining the areas about the dc overvoltage and over-modulation is newly proposed to optimize these parameters for the HVRT of the DFIG. The proposed model is solved with the interior point method. Numerical simulation validates the accuracy of the trajectory sensitivity. The proposed index selects the critical PI parameters which reduces the optimization time, and keeping desirable control effect. Coordination of dc capacitance and dc voltage reference is effective to suppress the dc overvoltage and improve dc modulation. Further including the PI parameters helps to damp the oscillation and reduce the recovery time of the dc voltage. © 2023 IEEE.

关键词： Optimization

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Research on the training mode of "integrated Talents" in "integration of Master and Doctor" under the Transition of Education: A Case Study of the school of Mechatronic engineering and automation of Shanghai University 2019

Research on the training mode of "integrated Talents" in "in...

引用

2019 International Conference on Modern Educational Technology, ICMET 2019

作者： Zan, Peng Chang, Meihan Xue, Yingjie School of Mechatronics Engineering and Automation of Shanghai University Shanghai200072 China

ISBN: (纸本)9781450372220

In recent years, with the gradual advancement of the exploration and innovation of talent training mode in colleges and universities in China, more and more colleges and universities have begun to implement the "Integration of Master and Doctor" talent training mode under the call of the Ministry of Education. The mode is an exploration of postgraduate and doctoral education in the context of current popular education, which is an attempt to diversify education. This paper is based on the existing "Combined Postgraduate and Doctoral Programs" training mode of the school of Mechatronic engineering and automation of Shanghai University, and analyzing the pros and cons and putting forward the idea of replacing the original "Combined Postgraduate and Doctoral Programs " training mode with the "Integration of Master and Doctor" training mode. This paper proposed corresponding improvement measures on the basis of the original "Combined Postgraduate Doctoral Programs" in order to improve the "Integration of Master and Doctor" through-training talent cultivation innovative mode. © 2019 ACM.

关键词： Integration

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TSA based optimization to dc voltage and dc modulation for h...

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China International Electrical and Energy Conference (CIEEC)

作者： Shenghu Li Qirui Zhao School of Electrical Engineering and Automation Hefei University of Technology Hefei China

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Distributed Finite-Time Formation Control of Multiple Mobile Robot Systems Without Global Information

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IEEE/CAA Journal of Automatica Sinica 2025年第3期12卷 630-632页

作者： Xunhong Sun Haibo Du Weile Chen Wenwu Zhu the School of Electrical Engineering and Automation Hefei University of Technology IEEE the School of Automation Southeast University

Dear Editor,This letter considers the formation control of multiple mobile robot systems (MMRS) that only relies on the local observation information. A new distributed finite-time observer is proposed for MMRS under directed graph to estimate the relative information between each follower robot and the leader robot. Then the formation control problem is transformed into the tracking problem and a finite-time tracking controller is proposed based on the robot model feature.

关键词： Directed graphs

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Contact Dynamics Modeling and Control During the Combination Process of Air-Ground Robots

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Chinese Journal of Mechanical engineering 2025年第1期38卷 306-322页

作者： Xueying Jin Haoyuan Liu Guiyu Dong Kun Xu Xilun Ding School of Mechanical Engineering and Automation Beihang UniversityBeijing 100191China

In recent years,there has been a surge of interest in air-ground collaborative robotics *** research group designs a novel combination-separation air-ground robot(CSAGR),which exhibits rapid automatic combination and separation *** the combination process,contact effects between robots,as well as between robots and the environment,are ***,it is essential to conduct detailed and accurate modeling and analysis of the collision impact intensity and transmission pathways within the robotic system to ensure the successful execution of the combination *** paper addresses the intricate surface geometries and multi-point contact challenges present in the contact regions of dual robots by making appropriate modifications to the traditional continuous contact force model and applying equivalent processing *** validity of the developed model is confirmed through comparisons with results obtained from finite element analysis(FEA),which demonstrates its high ***,the impact of this model on control performance is analyzed within the flight control system,thereby further ensuring the successful completion of the combination *** research represents a pioneering application and validation of continuous contact theory in the dynamics of collisions within dual robot systems.

关键词： Air-ground robot Combination-separation function Contact force Dynamic modeling Finite element analysis

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Research on Object Detection and Combination Clustering for Railway Switch Machine Gap Detection

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Chinese Journal of Electronics 2025年第1期34卷 186-203页

作者： Qingsheng Feng Shuai Xiao Wangyang Liu Hong Li School of Automation and Electrical Engineering Dalian Jiaotong University School of Software Dalian Jiaotong University

Turnouts and switch machines play a crucial role in facilitating train line operations and establishing routes, making them vital for ensuring the safety and efficiency of railway transportation. Through the gap detection system of switch machines, the real-time working status of turnouts and switch machines on railway sites can be quickly known. However, due to the challenging working environment and demanding conversion tasks of switch machines, the current gap detection system has often experienced the issues of fault detection. To address this, this study proposes an automatic gap detection method for railway switch machines based on object detection and combination clustering. Firstly, a lightweight object detection network, specifically the MobileNetV3-YOLOv5s model, is used to accurately locate and extract the focal area. Subsequently, the extracted image undergoes preprocessing and is then fed into a combination clustering algorithm to achieve precise segmentation of the gap area and background,the algorithm consists of simple linear iterative clustering, Canopy and kernel fuzzy c-means clustering. Finally, the Fisher optimal segmentation criterion is utilized to divide the data sequence of pixel values, determine the classification nodes and calculate the gap size. The experimental results obtained from switch machine gap images captured in various scenes demonstrate that the proposed method is capable of accurately locating focal areas, efficiently completing gap image segmentation with a segmentation accuracy of 93.55%, and swiftly calculating the gap size with a correct rate of 98.57%. Notably, the method achieves precise detection of gap sizes even after slight deflection of the acquisition camera, aligning it more closely with the actual conditions encountered on railway sites.

关键词： Image segmentation Accuracy Clustering algorithms Transportation Switches Object detection Cameras Rail transportation Classification algorithms Safety

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The optimal control theory——a scientific approach to fundamentally solving control problems

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Science China(Information Sciences) 2025年第1期68卷 389-391页

作者： Huanshui ZHANG School of Electrical and Automation Engineering Shandong University of Science and Technology School of Control Science and Engineering Shandong University

The maximum principle has bridged mathematical optimization to optimal control,ushering in significant developments and refinements in optimal control theory,notably during the 1960s with the advent of linear quadratic (LQ)control and linear quadratic estimation (LQE).This progression propelled optimal control theory into further advancements,encompassing stochastic control,robust/H-infinity control,model predictive control (MPC),networked control,and reinforcement learning *** control,established upon a rigorous mathematical foundation,extends static optimization theory to dynamic systems,exhibiting scientific essence,unity,and ***,since its inception,optimal control theory has served as an indispensable core role across all control-related domains,including communication-constrained control in networked systems,consensus control,cooperative control,and reinforcement learning control.

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Swarm intelligence:A survey of model classification and applications

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Chinese Journal of Aeronautics 2025年第3期38卷 163-182页

作者： Chao WANG Shuyuan ZHANG Tianhang MA Yuetong XIAO Michael Zhiqiang CHEN Lei WANG School of Automation Science and Electrical Engineering Beihang UniversityBeijing 100191China School of Automation Nanjing University of Science and TechnologyNanjing 210094China

Swarm Intelligence (SI) is a collective behavior that emerges from interaction between individuals in a group. Typical SI includes fish schooling, ant foraging, bird migration, and so on. A great deal of models have been introduced to characterize the mechanism of SI. This article reviews several typical models and classifies them into four categories: self-driven particle models, with Boids model as the primary example;pheromone communication models, including the ant colony pheromone model which serves as the foundation for ant colony optimization;leadership decision models, utilizing the hierarchical dynamics model of pigeon flock as a prime instance;empirical research models, which employ the topological rule model of starling flock as a classic model. On this basis, each type of model is elaborated upon in terms of its typical model overview, applications, and model evaluation. More specifically, multi-agent swarm control, path optimization and obstacle avoidance, formation and consensus control, trajectory tracking in the dense crowd and social networks analysis are surveyed in the application of each category, respectively. Furthermore, the more precise and effective modeling techniques for leadership decision and empirical research models are described. Limitations and potential directions for further exploration in the study of SI are presented.

关键词： Swarm intelligence Ant colony optimization Self-driven particle models Pheromone communication models Leadership decision models Empirical research models

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A LODBO algorithm for multi-UAV search and rescue path planning in disaster areas

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Chinese Journal of Aeronautics 2025年第2期38卷 200-213页

作者： Liman Yang Xiangyu Zhang Zhiping Li Lei Li Yan Shi School of Automation Science and Electrical Engineering Beihang UniversityBeijing 100191China

In disaster relief operations,multiple UAVs can be used to search for trapped *** recent years,many researchers have proposed machine le arning-based algorithms,sampling-based algorithms,and heuristic algorithms to solve the problem of multi-UAV path *** Dung Beetle Optimization(DBO)algorithm has been widely applied due to its diverse search patterns in the above ***,the update strategies for the rolling and thieving dung beetles of the DBO algorithm are overly simplistic,potentially leading to an inability to fully explore the search space and a tendency to converge to local optima,thereby not guaranteeing the discovery of the optimal *** address these issues,we propose an improved DBO algorithm guided by the Landmark Operator(LODBO).Specifically,we first use tent mapping to update the population strategy,which enables the algorithm to generate initial solutions with enhanced diversity within the search ***,we expand the search range of the rolling ball dung beetle by using the landmark ***,by using the adaptive factor that changes with the number of iterations.,we improve the global search ability of the stealing dung beetle,making it more likely to escape from local *** verify the effectiveness of the proposed method,extensive simulation experiments are conducted,and the result shows that the LODBO algorithm can obtain the optimal path using the shortest time compared with the Genetic Algorithm(GA),the Gray Wolf Optimizer(GWO),the Whale Optimization Algorithm(WOA)and the original DBO algorithm in the disaster search and rescue task set.

关键词： Unmanned aerial vehicle Path planning Meta heuristic algorithm DBO algorithm NP-hard problems

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