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4th International Symposium on Plasma and Energy Convention, ISPEC 2022

作者： Jiang, Yuan Zhu, Liying Lei, Zhan Du, Hong Yang, Dong School of Automation and Electrical Engineering University of Science and Technology Beijing Beijing100083 China Beijing Institute of Spacecraft System Engineering Beijing100194 China

ISBN: (纸本)9789819915750

Space probe is one of the important areas for commercial space industry. In order to make the ion propulsion system have good control performance under the regulation of wide voltage and wide power, a nonlinear controller with adjustable multi-operating points is designed based on the synergetic approach to control (SAC) theory. The duty cycle of DC/DC converter can be calculated by combining the state space equation of DC/DC converter and the evolution law of manifold. In order to ensure that the overshoot of inductor current is small and the response speed is fast when the operating point is switched, according to the convergence characteristics of manifold, the adaptive control parameter is designed based on capacitor voltage error. According to the simulation results, the steady-state error of bus voltage under SAC control is 3.3%, which is less than 6% of PI control. For the transient process of switching, the overshoot of capacitor voltage and inductor current under PI control are close to 30%, much larger than that under SAC control, and the duty cycle under PI control also shows a large oscillation. SAC control has advantages over PI control in terms of steady-state performance, dynamic performance and duty cycle control. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Ions

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Social Radars: Finding Targets in Cyberspace for Cybersecurity

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IEEE/CAA Journal of Automatica Sinica 2024年第2期11卷 279-282页

作者： Lili Fan Changxian Zeng Yutong Wang Jiaqi Ma Fei-Yue Wang School of Information and Electronics Beijing Institute of TechnologyBeijing 100081China School of Science Dalian Minzu UniversityDalian 116600China State Key Laboratory for Management and Control of Complex Systems Institute of AutomationChinese Academy of SciencesBeijing 100190China Department of Civil and Environmental Engineering University of CaliforniaLos AngelesCA 90024 USA IEEE State Key Laboratory for Management and Control of Complex Systems Chinese Academy of SciencesBeijing 100190 Faculty of Innovation Engineering Macao University of Science and TechnologyMacao 999078China

INSPIRED by the insight from American political scientist Lasswell, who summarized the environmental role in societal surveillance [1], Schramm coined the term “social radar” [2] as it resembles the activities of radar in collecting and processing information, playing a crucial role in helping humans perceive changes in the internal and external environment and promptly adjusting adaptive behaviors.

关键词： prompt summarized insight

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Power system Operation Optimization Method of Combined Renewable Energy with Thermoelectric Units Considering Exergy Efficiency 6

Power System Operation Optimization Method of Combined Renew...

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6th International Conference on Energy systems and Electrical Power, ICESEP 2024

作者： Shi, Jiakui Zongjie, L. Li, Menghui Xie, Hua Peng, E. Wan, Jie School of Electrical Engineering & Automation Harbin Institute of Technology Harbin China School of Energy Science and Engineering Harbin Institute of Technology Harbin China Guoneng Credit Control Interconnection Technology Co. Ltd Beijing China

ISBN: (纸本)9798350353563

In northern China, the demand for winter heating is substantial, leading to a high proportion of heating loads that reduce the flexibility of the power grid in regulating power generation. The pure condensing unit will enter the normal operation condition of ultra-low load (sometimes even undergoing daily start and stop cycles). The economic consumption method of light, electricity, and heat balance of combined heat and power units is proposed. Based on considering the exergy efficiency, the new energy is transferred to the heat load of the heating network to break the fixed mode of 'fixing electricity by heat, 'reduce the light abandonment rate, and improve the operation economy of the system. It has certain reference significance for promoting the safe and efficient consumption and utilization of local large-scale renewable energy. © 2024 IEEE.

关键词： Cogeneration unit economic operation efficiency renewable energy

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A Survey of Output Feedback Robust MPC for Linear Parameter Varying systems

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IEEE/CAA Journal of Automatica Sinica 2022年第10期9卷 1717-1751页

作者： Xubin Ping Jianchen Hu Tingyu Lin Baocang Ding Peng Wang Zhiwu Li the Department of Automation School of Electro-Mech-anical EngineeringXidian UniversityXi’an 710071China the Ministry of Education Key Laboratory for Intelligent Networks and Network Security School of Automation Science and EngineeringFaculty of Electronic and Information EngineeringXi’an Jiaotong UniversityXi’an 710049China the State Key Laboratory of Intelligent Manufacturing System Technology Beijing Institute of Electronic System EngineeringBeijing 100854China the College of Automation Chongqing University of Posts and TelecommunicationsChongqing 400065China the Information and Navigation College Air Force Engineering UniversityXi’an 710077China IEEE the School of Electro-Mechanical Engineering Xidian UniversityXi’an 710071 the Institute of System Engineering Macao University of Science and TechnologyMacao SARChina

For constrained linear parameter varying(LPV)systems,this survey comprehensively reviews the literatures on output feedback robust model predictive control(OFRMPC)over the past two decades from the aspects on motivations,main contributions,and the related *** to the types of state observer systems and scheduling parameters of LPV systems,different kinds of OFRMPC approaches are summarized and *** extensions of OFRMPC for LPV systems to other related uncertain systems are also *** methods of dealing with system uncertainties and constraints in different kinds of OFRMPC optimizations are *** issues on OFRMPC optimizations for LPV systems are ***,the future research directions on OFRMPC for LPV systems are suggested.

关键词： Linear parameter varying(LPV)systems model predictive control(MPC) output feedback robust control

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Temperature control method and verification for spaceborne atomic clock based on phase change technology 2

Temperature control method and verification for spaceborne a...

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2023 2nd International Conference on Mechanical, Aerospace Technology and Materials Application, MATMA 2023

作者： Yang, Changpeng Ren, Hongyan Song, Yunfei Xu, Feng Yang, Huning Beijing Key Laboratory of Space Thermal Control Technology Beijing Institute of Spacecraft System Engineering Beijing100094 China School of Engineering Science University of Science and Technology of China Hefei230027 China

The spaceborne atomic clock, as the time reference for navigation signal generation and system ranging, is the core component of the satellite system payload, and temperature stability is one of the main factors affecting the output frequency stability of the atomic clock. To ensure its continuous and stable operation in orbit, the temperature control system needs to provide a good working temperature environment for it. This article takes the high stability temperature control of the rubidium atomic clock in low-Earth inclined orbit as the research background, and conducts research on temperature control methods and phase change devices based on phase change technology. Simulation analysis and in-orbit telemetry data show that, by utilizing the temperature stability characteristic during the phase change process, the phase change temperature control system effectively suppresses the temperature fluctuations of the rubidium atomic clock caused by drastic changes in the space thermal environment. © Published under licence by IOP Publishing Ltd.

关键词： Atomic clocks

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A Health Assessment Method Based on Directed Acyclic Graph and Improved Mahalanobis- Taguchi system 3

A Health Assessment Method Based on Directed Acyclic Graph a...

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3rd International Conference on Electrical engineering and control science, IC2ECS 2023

作者： Zhou, Gongcheng Xiang, Gang Lin, Ruishi Li, Dongpeng Peng, Yu Wang, Hongyan Cui, Langfu Zhang, Qingzhen Li, Liang School of Automation Science and Electrical Engineering Beihang University Beijing China Beijing Aerospace Automatic Control Institute Beijing China

ISBN: (纸本)9798350382426

Health status assessment is a key procedure for fault prediction and health management for complex systems. To accurately evaluate the health status of complex systems, this paper proposes a health assessment method based on a directed acyclic graph and an improved Mahalanobis- Taguchi system. Firstly, the Mahalanobis distance between samples of different health statuses is calculated by using the Mahalanobis distance system, and the discrimination degree of each sample combination is analyzed and compared. Then, the multi-classification process of equipment health status is constructed by the directed acyclic graph. Next, different feature combinations are formed by the features selected in the orthogonal experiment, and the Mahalanobis- Taguchi system is constructed separately for each combination. After voting, an improved Mahalanobis- Taguchi system used to divide the final health status category is obtained. Finally, the PHM08 data provided by the National Aeronautics and Space Administration of the United States is applied to evaluate the health status of the aero-engine. © 2023 IEEE.

关键词： Directed acyclic graph Health management Health status improved Mahalanobis-Taguchi system

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Traj-LLM: A New Exploration for Empowering Trajectory Prediction With Pre-Trained Large Language Models

IEEE Transactions on Intelligent Vehicles

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IEEE Transactions on Intelligent Vehicles 2024年 1-14页

作者： Lan, Zhengxing Liu, Lingshan Fan, Bo Lv, Yisheng Ren, Yilong Cui, Zhiyong School of Transportation Science and Engineering Beihang University Beijing China Beijing Key Laboratory of Traffic Engineering College of Metropolitan Transportation Beijing University of Technology Beijing China State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of Automation Chinese Academy of Sciences Beijing China School of Transportation Science and Engineering State Key Lab of Intelligent Transportation System Beihang University Beijing China

Predicting the future trajectories of dynamic traffic actors is a cornerstone task in autonomous driving. Though existing notable efforts have resulted in impressive performance improvements, a gap persists in scene cognitive and understanding of complex traffic semantics. This paper proposes Traj-LLM, the first to investigate the potential of using pre-trained Large Language Models (LLMs) without explicit prompt engineering to generate future motions from vehicular past trajectories and traffic scene semantics. Traj-LLM starts with sparse context joint encoding to dissect the agent and scene features into a form that LLMs understand. On this basis, we creatively explore LLMs' strong understanding capability to capture a spectrum of high-level scene knowledge and interactive information. To emulate the human-like lane focus cognitive function and enhance Traj-LLM's scene comprehension, we introduce lane-aware probabilistic learning powered by the Mamba module. Finally, a multi-modal Laplace decoder is designed to achieve scene-compliant predictions. Extensive experiments manifest that Traj-LLM, fueled by prior knowledge and understanding prowess of LLMs, together with lane-aware probability learning, transcends the state-of-the-art methods across most evaluation metrics. Moreover, the few-shot analysis serves to substantiate Traj-LLM's performance, as even with merely 50% of the dataset, it surpasses the majority of benchmarks relying on complete data utilization. This study explores endowing the trajectory prediction task with advanced capabilities inherent in LLMs, furnishing a more universal and adaptable solution for forecasting agent movements in a new way. IEEE

关键词： Semantics

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Real-Time Moving Horizon Estimation for Nonlinear systems With Unknown Inputs 49

Real-Time Moving Horizon Estimation for Nonlinear Systems Wi...

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49th Annual Conference of the IEEE Industrial Electronics Society, IECON 2023

作者： Du, Songtao Wan, Yiming Zhang, Cong Zhang, Sihang School of Artificial Intelligence and Automation Huazhong University of Science and Technology Wuhan China Beijing Institute of Control Engineering Beijing China

ISBN: (纸本)9798350331820

Moving horizon estimation (MHE) is a well-known alternative to Kalman-like filtering due to its superior performance in terms of estimation accuracy, convergence speed, and robustness to poor initial state guesses. However, most MHE methods cope with unknown inputs by introducing a random walk model, which is unsuitable for fast-varying unknown inputs. To address this issue, we propose an unknown input moving horizon estimator (MHE-UI) that does not require any prior knowledge of the dynamic behavior of unknown inputs. To solve the associated nonlinear least squares problem in real time, we develop a computationally efficient Gauss-Newton iterative algorithm by exploiting the block pentadiagonal structure of the resulting Karush-Kuhn-Tucker (KKT) matrix. A numerical case study demonstrates that the proposed real-time MHE-UI algorithm achieves higher estimation accuracy than the unknown input unscented Kalman filter (UKF-UI) and significantly reduces the computational cost compared to the exact MHE-UI algorithm. © 2023 IEEE.

关键词： Nonlinear systems

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Comprehensive Assessment Method for the Intelligence Level of Extraterrestrial Unmanned Detection system 41

Comprehensive Assessment Method for the Intelligence Level o...

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第41届中国控制会议

作者： Han Wu Yong Hu Qinglei Hu Biru Chi Wei Chen School of Automation Science and Electrical Engineering Beihang University Beijing Institute of Control Engineering Beihang Hangzhou Innovation Institute Yuhang

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

This paper presents a synthesis evaluation scheme of intelligence level for the Extraterrestrial Unmanned Detection system(EUDS).Specifically and firstly,the evaluating index framework(EIF) of intelligence level is constructed for data ***,an extensible judgment matrix of EIF is defined for calculating the index weight *** eliminate the vagueness and consistency of the judgment matrix,Extension AHP(EAHP) algorithm is ***,with the purpose of objectivity and rationality of assessment,the fuzzy synthesis evaluation method is leveraged to calculate the quantitative ***,the implementation process of the evaluation scheme is demonstrated by the experimental data and simulation example,and the assessment results are analyzed for the improvement of EUDS intelligence level.

关键词： Extraterrestrial Unmanned Detection system intelligent level evaluation EAHP fuzzy synthesis evaluation

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Target Assignment in the Multi-UAV Combat Based on Distributed Compensation Auction Algorithm with Fixed-Time Consensus Protocol 7th

Target Assignment in the Multi-UAV Combat Based on Distri...

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7th Chinese Conference on Swarm Intelligence and Cooperative control, CCSICC 2023

作者： Chen, Yiyang Hua, Yongzhao Yu, Jianglong Dong, Xiwang Institute of Artificial Intelligence Beihang University Beijing100191 China School of Automation Science and Electrical Engineering Science and Technology on Aircraft Control Laboratory Beihang University Beijing100191 China

ISBN: (纸本)9789819733231

This paper mainly focuses on the target assignment problems in the unmanned aerial vehicle (UAV) swarm combat. Firstly, the idea of the multi-UAV swarm combat is shown and the constraints and the benefit matrix of the target assignment task are modeled. Secondly, a fixed-time consensus protocol is utilized to estimate the state of all the other agents and its convergence is proved by Lyapunov method. Then, a distributed compensation auction algorithm is proposed. Finally, the proposed distributed compensation auction algorithm is simulated and the results demonstrate the successful completion of the assignment task with only neighboring information. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Lyapunov methods

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