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9th International Symposium on system Security, Safety, and Reliability, ISSSR 2023

作者： Man, Zhiyi Wang, Shaoping Zhang, Chao Zhu, Yun Beihang University School of Automation Science and Electrical Engineering Beijing100191 China AECC Aero-Engine Control System Institute Jiangsu Wuxi214100 China

ISBN: (纸本)9798350302479

In the field of electric vehicles, the safety of power lithium-ion batteries is a socially important issue, and the study of thermal runaway of lithium batteries is now gradually becoming more in-depth. In this paper, the output parameters are up-dimensioned. Using a global sensitivity analysis method based on the Moms screening method, the influence of 11 parameters such as volume of the cell(vBt), mass of the cell(mBt) and electrolyte concentration (W_e) on the thermal runaway process of Li-ion batteries is analyzed, and the variation of 10 variables such as temperature(T) and carbon dioxide gas (CO2) produced in the thermal runaway side reaction heat generation process and chemical reaction gas generation process over time is investigated under the influence of the parameter factors. In the study, the sensitivity of the parameters over a time interval is investigated in the rising dimension of the time domain. The results show that the overall effect of the parameters on the thermal process;for the output variables of the thermal process, they are mainly affected by the mass of the cell (m_Bt), the thickness of the SEI film (t_sei) and the specific heat capacity of the cell(Cp_Bt), while the chemical process is not significantly affected by the different parameters;among all the parameters, the volume (V_Bt) of the cell interacts most strongly with the other parameters for all the output variables. Finally, the results of the sensitivity analysis of the thermal runaway side reactions of the battery will be applied to the subsequent 3D simulation study. © 2023 IEEE.

关键词： Lithium-ion batteries

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Sigma-Mixed Unscented Kalman Filter-Based Fault Detection for Traction systems in High-Speed Trains

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Chinese Journal of Electronics 2023年第5期32卷 982-991页

作者： CHENG Chao WANG Weijun MENG Xiangxi SHAO Haidong CHEN Hongtian Department of Computer Science and Technology Changchun University of Technology Department of Mathematics and Statistics Changchun University of Technology Institute of System Research China Industrial Control Systems Cyber Emergency Response Team Department of Mechanical and Vehicle Engineering Hunan University Department of Chemical and Materials Engineering University of Alberta

Fault detection(FD) for traction systems is one of the active topics in the railway and academia because it is the initial step for the running reliability and safety of high-speed trains. Heterogeneity of data and complexity of systems have brought new challenges to the traditional FD methods. For addressing these challenges, this paper designs an FD algorithm based on the improved unscented Kalman filter(UKF) with consideration of performance degradation. It is derived by incorporating a degradation process into the state-space *** network topology of traction systems is taken into consideration for improving the performance of state estimation. We first obtain the mixture distribution by the mixture of sigma points in UKF. Then, the Lévy process with jump points is introduced to construct the degradation model. Finally, the moving average interstate standard deviation(MAISD) is designed for detecting *** the proposed methods via a traction systems in a certain type of trains obtains satisfactory results.

关键词： Degradation Network topology Fault detection Rail transportation State-space methods Safety Kalman filters

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Resilient fractional-order fuzzy-based tilt control of renewable-dominated hybrid power system

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Neural Computing and Applications 2025年 1-17页

作者： Sah, Sneha V. Prakash, Vivek Pathak, Pawan Kumar Yadav, Anil Kumar School of Automation Banasthali Vidyapith Rajasthan Tonk India Government Polytechnic College Tonk Department of Technical Education Government of Rajasthan Jodhpur India Department of Instrumentation and Control Engineering Dr B R Ambedkar National Institute of Technology Jalandhar Punjab Jalandhar144008 India

The research conducted for this work has focused on the design and implementation of resilient fractional-order fuzzy integral tilt derivative with filter (FOF-ITDF) controller for renewable-dominated hybrid power system (HPS). The considered HPS employs solar thermal, wind power, diesel engine, aqua electrolyzer, and fuel cell as the distributed generation system. Moreover, flywheel, battery, and ultra-capacitor (UC) are chosen as the energy storage components. The parameters of FOF-ITDF controller are tuned via a hybrid optimization termed as artificial gorilla troops optimizer (GTO) with gradient-based optimizer (GBO). This proposed controller shows enhanced performance over fuzzy proportional–integral–derivative (PID), fuzzy ITDF, and FOF-PID controllers in terms of dynamic as well as steady state. Proposed GTO-GBO: FOF-ITDF controller provides highly robust operation against rate constraint non-linearities, parameter variations, and communication time delays (CTDs). Finally, the performance assessment of the proposed control architecture is also benchmarked over real-power system data via a standard IEEE-14 bus system with its stability evaluation by bode plot. By utilizing the proposed control design, the maximum frequency deviation Δf in the worst situation, i.e., CTD of 0.3 s, is − 0.024 Hz, which is much less and under the admissible range of IEEE standard. © The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2025.

关键词： Bode diagrams

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Flight Parameter Prediction and Fault Propagation based on Machine Learning and Symbolic Directed Graph 6

Flight Parameter Prediction and Fault Propagation based on M...

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6th International Symposium on Autonomous systems, ISAS 2023

作者： Li, Wenzhuo Guo, Kun Cheng, Yuehua Hu, Hengsong Xu, Cheng Yu, Ziquan Nanjing University of Aeronautics and Astronautics College of Automation Engineering Nanjing China Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing Institute of Mechanical and Electrical Engineering Beijing China

ISBN: (纸本)9798350316155

Fault influence and propagation analysis of flight vehicle systems is an important element of flight vehicle health management and also an important problem to be solved. A fault influence model based on data-driven is established, including a prediction model of flight parameters under fault, a dynamic influence path, and an influence degree model. Based on the historical experimental data, a long and short-term memory neural network (LSTM) model is proposed to predict the time-series data of each flight parameter of the flight vehicle under fault;based on the prediction results, a symbolic directed graph (SDG) is used to describe the fault of the flight vehicle system, and then introduce the concept of a compatible path with time-series characteristics to describe the dynamic propagation process of the fault. The case shows that the method proposed in this paper enables qualitative and quantitative analysis of the fault influence, and can reasonably describe the fault propagation path and influence characteristics. © 2023 IEEE.

关键词： Directed graphs

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Feasibility study of renewable e-methanol production:A substitution pathway from blue to green

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iEnergy 2024年第2期3卷 108-114页

作者： Peiyang Li Jin Lin Zhipeng Yu Yingtian Chi Kai Zhao State Key Laboratory of Power System Operation and Control Department of Electrical EngineeringTsinghua UniversityBeijing 100087China Tsinghua-Sichuan Energy Internet Research Institute Chengdu 610213China Beijing Representative Office of Methanol Institute Beijing 100020China

Producing renewable e-methanol from e-hydrogen and diverse carbon sources is an essential way for clean methanol *** this,the technical and economic feasibility of different e-methanols has yet to be thoroughly compared,leaving the most promising pathway to achieve commercialization yet *** paper reports a preliminary analysis of the lifecycle greenhouse gas(GHG)emissions and costs of four renewable e-methanols with different carbon sources:bio-carbon,direct air capture(DAC),fossil fuel carbon capture(FFCC),and *** results indicate that renewable e-methanol costs(4167−10250 CNY/tonne)2−4 times the market rate of grey ***,with the carbon tax and the projected decline in e-H2 costs,blue e-methanol may initially replace diesel in inland navigation,followed by a shift from heavy fuel oil(HFO)to green e-methanol in ocean ***,the e-H2 cost and the availability of green carbon are vital factors affecting cost-effectiveness.A reduction in e-H2 cost from 2.1 CNY/Nm3 to 1.1 CNY/Nm3 resulting from a transition from an annual to a daily scheduling period,could lower e-methanol costs by 1200 to 2100 *** paper also provides an in-depth discussion on the challenges and opportunities associated with the various green carbon sources.

关键词： Renewable energy e-methanol e-hydrogen green carbon source chemical process flexibility

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The Deployment of Microservice at Edge based on MQTT for Low Latency 22

The Deployment of Microservice at Edge based on MQTT for Low...

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22nd IEEE International Conference on Industrial Informatics, INDIN 2024

作者： Han, Mengqi Yang, Bo Liu, Yuxiang Liu, Sicheng Liu, Qi Department of Automation Shanghai Jiao Tong University Shanghai China Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai China Shanghai Engineering Research Center of Intelligent Control and Management Shanghai China

ISBN: (纸本)9798331527471

With the rapid development of smart manufacturing, existing microservice deployment strategies based on the TCP protocol tend to encounter problems such as network latency, excessive header length, and port exhaustion in high concurrency scenarios. MQTT Broker can relay data between microservices, effectively alleviating these issues. However, the communication overhead of the Broker is significantly related to its deployment and the dependency of microservices. An appropriate deployment solution can significantly improve service quality. To address this issue, this paper models the deployment of MQTT Broker and microservices as a graph with cycles. By introducing auxiliary variables, the NP-hard problem is transformed into a mixed-integer quadratic programming problem, improving problem-solving efficiency and optimizing the microservices deployment strategy to reduce communication overhead. Meanwhile, a real-world heterogeneous cluster was constructed to experiment on fault detection applications, elaborating on the superiority of the microservice deployment strategy designed in this paper. Experimental results demonstrate that our approach reduces communication overhead by 20% in comparison to both the greedy strategy and the K8s strategy. This suggests that achieving an optimal balance between the number of Brokers and microservices is vital for ensuring efficient resource utilization and maintaining low communication latency, particularly as the scale of services expands. © 2024 IEEE.

关键词： Smart manufacturing

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Optimized Deloading Operation of Wind Turbine Generator in Virtual Power Plant Considering Forecast Error and Carbon Trading 16

Optimized Deloading Operation of Wind Turbine Generator in V...

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16th IEEE PES Asia-Pacific Power and Energy engineering Conference, APPEEC 2024

作者： Yan, Yang Qian, Kang Li, Dongsen Xu, Yiyue Huang, Jiejie Wang, Zhangfan Jiangsu Power Design Institute Co. LTD. China Energy Engineering Group Department of integrated energy system Nanjing China School of Electrical Engineering and Automation Nantong University Nantong China

ISBN: (纸本)9798350386127

For virtual power plant (VPP) that includes the wind turbine generator (WTG) and gas turbine (GT), output power curve of the VPP to participate in the bidding of day-ahead electricity market is determined with the wind speed forecast. The forecast error of the wind speed may result in inadequate power output from the WTG and the deficiency may be compensated by power output from the GT. The deficiency may be reduced by bidding with the power output curve of the WTG under the deloading operation mode. In this article, the overall operation cost of the VPP with the deloading operation of the WTG is evaluated, which considers revenue from the electricity sale, as well as cost of GT operation, carbon trading, and active power reserve. The deloading ratio of the WTG is optimized by evaluating the operation cost, in order to minimize the impact of the forecast error on the overall operation cost of the VPP. Numerical analysis result validates the effectiveness of the proposed optimization algorithm. © 2024 IEEE.

关键词： Windmill

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Attitude-trajectory Coupled control of Mars Pinpoint Landing using Nonlinear Model Predictive control 41

Attitude-trajectory Coupled Control of Mars Pinpoint Landing...

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第41届中国控制会议

作者： Qitian Chen Shaoyuan Li Yuanyuan Zou Yanning Guo Department of Automation Shanghai Jiao Tong University Department of Control Science and Engineering Harbin Institute of Technology

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

The trajectory guidance and attitude control of Mars lander is a key point in Mars pinpoint landing *** land precisely and efficiently at the target point,an attitude-trajectory coupled control methodology is designed using nonlinear model predictive control(NMPC) in this *** advantage is that it can optimize both trajectory and attitude with online *** addition,it can deal with various physical *** achieve this autonomous control algorithm,a complex dynamics model coupled with the translational and rotational motions of the lander is ***,some physical constraints such as sight-line constraint are ***,a quadratic cost function is designed to minimize the *** simulations verify the feasibility of this autonomous control *** details are presented to demonstrate the effectiveness of the proposed algorithm.

关键词： pinpoint landing nonlinear model predictive control trajectory optimization attitude-trajectory coupled control

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Online Multi-Object Tracking Under Moving Unmanned Aerial Vehicle Platform Based on Object Detection and Feature Extraction Network

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Journal of Shanghai Jiaotong university(Science) 2024年第3期29卷 388-399页

作者：刘增敏王申涛姚莉秀蔡云泽 Department of Automation Shanghai Jiao Tong UniversityShanghai 200240China Key Laboratory of System Control and Information Processing of Ministry of Education Shanghai 200240China Shanghai Engineering Research Center of Intelligent Control and Management Shanghai 200240China Key Laboratory of Marine Intelligent Equipment and System of Ministry of Education Shanghai Jiao Tong UniversityShanghai 200240China JD Business Growth Department Beijing 100176China Institute of Marine Equipment Shanghai Jiao Tong UniversityShanghai 200240China

In order to solve the problem of small object size and low detection accuracy under the unmanned aerial vehicle(UAV)platform,the object detection algorithm based on deep aggregation network and high-resolution fusion module is ***,a joint network of object detection and feature extraction is studied to construct a real-time multi-object tracking *** the problem of object association failure caused by UAV movement,image registration is applied to multi-object tracking and a camera motion discrimination model is proposed to improve the speed of the multi-object tracking *** simulation results show that the algorithm proposed in this study can improve the accuracy of multi-object tracking under the UAV platform,and effectively solve the problem of association failure caused by UAV movement.

关键词： moving unmanned aerial vehicle(UAV)platform small object feature extraction image registration multi-object tracking

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A Day-Ahead Market Clearing Model Under system Inertia Constraints 16

A Day-Ahead Market Clearing Model Under System Inertia Const...

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16th IEEE PES Asia-Pacific Power and Energy engineering Conference, APPEEC 2024

作者： Ma, Yuting Jin, Jiangliang Hao, Liangliang Huang, Qisheng Shen, Liye College of Information Scienc and Technology Donghua University Shanghai China Shandong University Department of Control Science and Engineering Shandong China School of Mechanical Engineering and Automation Harbin Institute of Technology Shanghai China

ISBN: (纸本)9798350386127

We study the market clearing model for electric energy, inertia, and reserve in the day-ahead market, with a particular focus on the virtual inertia provided by wind units. In this paper, we consider synchronous inertia and virtual inertia as sources of system inertia. We incorporate system inertia constraints into the unit commitment (UC) and the economic dispatch (ED) models, and assign economic value to virtual inertia, so as to incentivize wind power to provide virtual inertia. Numerical results demonstrate that the proposed model enhances the participation of wind power units, increases the wind utilization rate and reduces the total costs. © 2024 IEEE.

关键词： Wind power

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