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International Conference on Guidance, Navigation and control, ICGNC 2022

作者： Ge, Lijia Yan, Liang Xiang, Pengjie Zhou, Yuchen Aboelhassan, Ahmed School of Automation Science and Electrical Engineering Beihang University Beijing100191 China Science and Technology on Aircraft Control Laboratory Beihang University Beijing100191 China Ningbo Institute of Technology Beihang University Ningbo315800 China Electrical and Control Engineering Department College of Engineering and Technology Arab Academy for Science Technology and Maritime Transport Alexandria1029 Egypt Key Laboratory of More Electric Aircraft Technology of Zhejiang Province University of Nottingham Ningbo China Ningbo315100 China

ISBN: (纸本)9789811966125

This paper investigates the relationship between the output performance of PMSM and the number of the Halbach magnetic segments. The static magnetic simulation models of the Halbach with three to seven segments are established, and the spatial harmonic distribution of these magnetic arrays under the static magnetic field is analyzed. The simulation date indicates that the five-segment configuration has the best suppression effect on the 5th harmonic, and the seven-segment Halbach magnet array has the maximum fundamental amplitude of magnetic flux density. Then, the transient magnetic simulation models of these magnetic configuration are established by FEM, and the dynamic performance in PMSM is simulated and analyzed. By comparing the simulation data, it indicates that the electromagnetic output performance of five-segment magnetic configuration is the best. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Harmonic analysis

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An FE-S-BiLSTM and Heatmap-Based State-of-Health Estimation Method for Lithium-Ion Batteries

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IEEE Sensors Journal 2025年第10期25卷 17727-17738页

作者： Kui Shao Chao Zhai Chaolong Zhang Yigang He Bolun Du Ji Wu School of Future Technology China University of Geosciences Wuhan China School of Automation China University of Geosciences Wuhan China College of Intelligent Science and Control Engineering Jinling Institute of Technology Nanjing China China Electric Power Research Institute Wuhan China School of Electrical Engineering and Automation Wuhan University Wuhan China School of Automotive and Transportation Engineering Hefei University of Technology Hefei Anhui China

Accurate battery state-of-health (SOH) estimation can improve battery reliability and ensure its safe and efficient operation. Therefore, this study proposes a novel method for battery SOH estimation. First, a thermocouple temperature sensor monitors the battery’s operating temperature and provides feedback to the thermostat for precise temperature control during experiments. The battery’s charging voltage and current are measured using voltage transmitters and Hall current sensors, respectively, and the two are fused to obtain the battery’s charging power. Next, 1-D charging power data are converted into 2-D heatmaps using image encoding techniques. The heatmap corresponding to the first cycle is selected as the reference image, and the difference between the heatmaps of subsequent cycles and the reference image is quantified using structural similarity (SSIM). The final results serve as an indicator for battery health. In addition, this study proposes a novel battery SOH estimation model, the feature enhancement-simplification-bidirectional long short-term memory (FE-S-BiLSTM). The feature enhancement layer in the FE-S-BiLSTM model enriches global static features through enhancement learning. Based on the model’s bidirectional long short-term memory (BiLSTM) layer and simplification layer, dynamic features in the time-space domain are double captured. Finally, this study utilizes six batteries and designed a variety of experiments to validate the effectiveness of the proposed method. The experimental design comprises three tasks: SOH estimation based on full-charging data, SOH estimation based on random SOC interval charge data, and cross-battery SOH estimation. The experimental results demonstrate that the proposed SOH estimation method for batteries exhibits significant potential for practical applications.

关键词： Batteries Estimation Heating systems Sensors Aging Voltage Feature extraction Temperature measurement Image coding Voltage measurement

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Research on Path Planning Algorithm Based on D∗ Search

Research on Path Planning Algorithm Based on D∗ Search

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2023 International Conference on Ocean Studies, ICOS 2023

作者： Leng, Jiajun Fu, Li Wang, Lingling Tang, Ning Laboratory of Science and Technology on Marine Navigation and Control China State Shipbuilding Corporation Beijing100036 China Tianjin Navigation Instruments Research Institute Tianjin300131 China School of Automation Science and Electrical Engineering Beihang University Beijing100191 China Bauman Moscow State Technical University Moscow Department of Automatic Control Systems 105005 Russia

ISBN: (纸本)9798350382457

Path planning algorithms are current research hotspots. Heuristic algorithms that can solve dynamic environment problems are gradually becoming the mainstream research direction. The D∗ algorithm, as one of the new heuristic algorithms, has the advantages of being more computationally efficient than the A ∗ algorithm and being able to solve dynamic problems, and has played an important role in two-dimensional path planning projects such as the NASA Mars rover. But its theoretical research and practical application in 3D environment are very rare. In this context, this paper carries out an in-depth study of the path planning problem based on the D∗ algorithm, and completes the theoretical derivation and simulation process in 2D and 3D environments. In this paper, a complex random 2D map is established by random generation, and the simulation of D∗ algorithm is realized on the map with the help of Python language, which realizes the finding of the relative optimal path. Then, in order to study the feasibility of D∗ solving in 3D environment, the simulation of D∗ algorithm under 3D map is realized with the help of Python and Unity3d. The research results show that the simulation results are good, which is valuable for the theoretical research and practical application of heuristic algorithms, and plays a role in the application of robot path planning algorithms. © 2023 IEEE.

关键词： Python

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MFANet: Mixed Feature Attention Network for Port Lane Detection 42

MFANet: Mixed Feature Attention Network for Port Lane Detect...

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42nd Chinese control Conference, CCC 2023

作者： Zhang, Jinwei Su, Jinya Yi, Dewei Yang, Jun Ministry of Education The School of Automation Southeast University Key Laboratory of Measurement and Control of Complex Systems of Engineering Nanjing210096 China University of Aberdeen Department of Computing Science AberdeenAB24 3UE United Kingdom

ISBN: (纸本)9789887581543

With the advancement of industrial automation and artificial intelligence technology, unmanned port autonomy has gained increasing attention. Port automatic driving technology is a critical component of unmanned autonomous systems, enabling rubber tire gantry cranes (RTGs) to autonomously navigate by detecting port lanes and implementing control commands. In this study, a deep learning-based method is proposed for detecting port lanes in complex port scenes. The method employs the Inception module and attention mechanism to enhance lane feature extraction, and a structural loss is introduced to explicitly constrain the detection results and incorporate the prior characteristics of port lanes. A novel Mixed Feature Attention Network (MFANet) is proposed to implement the method for port lane detection. Experimental results demonstrate that MFANet effectively improves the accuracy of port lane detection while maintaining high computational efficiency. Furthermore, the performance of MFANet is evaluated in a real-world application scenario. © 2023 Technical Committee on control Theory, Chinese Association of automation.

关键词： Computational efficiency

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RTPEIR: A Reverse Trajectory Prediction Enhanced Intent Recognition Algorithm for Multi-Agent Systems*

RTPEIR: A Reverse Trajectory Prediction Enhanced Intent Reco...

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International Conference on control, automation, Robotics and Vision (ICARCV)

作者： Jun-Yang Cai Qin Liu Xin-Yu Xu Kelin Lu Yang-Yang Chen Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education School of Automation Southeast University Nanjing China School of Cyber Science and Engineering Southeast University Nanjing China

ISBN: (数字)9798331518493

ISBN: (纸本)9798331518509

This paper proposes a novel Reverse Trajectory Prediction Enhanced Intent Recognition Algorithm (RTPEIR) that utilizes historical data to predict earlier trajectories and enhance intent recognition accuracy. The RTPEIR algorithm incorporates two main enhancements. Firstly, it leverages a combination of past and present trajectory data to reconstruct previous agent states, thereby providing a deeper understanding of agents' strategic developments. Secondly, it integrates these reconstructed trajectories with ongoing strategy recognition processes, significantly refining the predictive accuracy. Sim-ulation experiments conducted on the StarCraft Multi-Agent Challenge (SMAC) platform show that RTPEIR outperforms existing forward trajectory prediction models by 6.5%, and existing LSTM and GRU models by 13.3% and 14.4%, respectively, in terms of intent recognition accuracy. Furthermore, when combined with deep reinforcement learning algorithms, RTPEIR demonstrates a notable improvement in win rates, highlighting its effectiveness in complex multi-agent environments.

关键词： Accuracy Intent recognition Refining Predictive models Prediction algorithms Deep reinforcement learning Trajectory Robots Long short term memory Multi-agent systems

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Filter-based Detection and Location of Dynamic Load Altering Attack in power Cyber-Physical Systems

Filter-based Detection and Location of Dynamic Load Altering...

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Chinese control and Decision Conference, CCDC

作者： Wenting Wang Dongqin Feng Mingliang Chen Shuxian Yang College of Control Science and Engineering Zhejiang University Hangzhou China School of Electrical Engineering Xi’an Jiaotong University Xi’an China School of Automation Engineering Northeast Electric Power University Jilin China

ISBN: (数字)9798350387780

ISBN: (纸本)9798350387797

This work investigates the problem of detecting and localizing attacks on a class of power cyber-physical systems (CPSs) in the presence of dynamic load alteration attacks (D-LAA). The power CPS is modeled as a discrete-time system with an unknown input, assuming that the sampling process is periodic and the D-LAA is bounded. This study delves into the investigation of attack detection and localization within a specific category of power cyber-physical systems (CPSs) when dealing with dynamic load alteration attacks (D-LAA). A novel Maximum Correntropy Robust Two-Stage Kalman Filter (MCRTSKF) is proposed so that the accurate state estimation for power CPS is achieved in spite of anomalous noise. Meanwhile, some essential parameters for the designed filter are obtained through the fixed-point iteration-stop parameter selection method. Furthermore, based on the state estimate value, the attack detection and localization procedure is presented. Finally, the validity and effectiveness of the proposed attack detection and localization schemes are illustrated by case studies on an IEEE 9-bus system.

关键词： Location awareness Discrete-time systems Simulation Noise Interference Cyber-physical systems Robustness

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Harnessing Neural Unit Dynamics for Effective and Scalable Class-Incremental Learning

arXiv

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arXiv 2024年

作者： Li, Depeng Wang, Tianqi Chen, Junwei Dai, Wei Zeng, Zhigang School of Artificial Intelligence and Automation Huazhong University of Science and Technology Wuhan China School of Information and Control Engineering China University of Mining and Technology Xuzhou China

Class-incremental learning (CIL) aims to train a model to learn new classes from non-stationary data streams without forgetting old ones. In this paper, we propose a new kind of connectionist model by tailoring neural unit dynamics that adapt the behavior of neural networks for CIL. In each training session, it introduces a supervisory mechanism to guide network expansion whose growth size is compactly commensurate with the intrinsic complexity of a newly arriving task. This constructs a near-minimal network while allowing the model to expand its capacity when cannot sufficiently hold new classes. At inference time, it automatically reactivates the required neural units to retrieve knowledge and leaves the remaining inactivated to prevent interference. We name our model AutoActivator, which is effective and scalable. To gain insights into the neural unit dynamics, we theoretically analyze the model’s convergence property via a universal approximation theorem on learning sequential mappings, which is under-explored in the CIL community. Experiments show that our method achieves strong CIL performance in rehearsal-free and minimal-expansion settings with different backbones. Copyright © 2024, The Authors. All rights reserved.

关键词： Dynamics

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Fully Distributed Practical Fixed-Time Time-Varying Formation Tracking control for General Linear Multiagent Systems

Fully Distributed Practical Fixed-Time Time-Varying Formatio...

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International Conference on control and automation (ICCA)

作者： Jinsheng Li Jianglong Yu Yongzhao Hua Xiwang Dong Qingdong Li Zhang Ren School of Automation Science and Electrical Engineering Beihang University Beijing China Institute of Artificial Intelligence Beihang University Beijing China Institute of Unmanned System Institute of Artificial Intelligence School of Automation Science and Electrical Engineering Science and Technology on Aircraft Control Laboratory Beihang University Beijing China

ISBN: (数字)9798350354409

ISBN: (纸本)9798350354416

This paper concerns the practical fixed-time time-varying formation tracking problem for multiagent systems with a leader-follower structure, where the agents have general linear dynamics. The previous works are built on a priori knowledge of global information, which is often unavailable in many applications. For this reason, a fully distributed fixed-time time-varying formation tracking protocol is proposed. Specifically, the estimation of the required setting time is independent of the initial system states and any global information. Furthermore, within the setting time, the residual set can be reduced to any desired level. These notable properties are analyzed by means of Lyapunov functions. Besides, a detailed design procedure for this protocol is presented. The effective of the above results are validated by a simulation example.

关键词： Protocols automation Estimation Topology Time-varying systems Multi-agent systems Lyapunov methods

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MODELING AND ANALYSIS OF ELECTRO-HYDROSTATIC ACTUATORS EFFICIENCY 34th

MODELING AND ANALYSIS OF ELECTRO-HYDROSTATIC ACTUATORS EFFIC...

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34th Congress of the International Council of the Aeronautical sciences, ICAS 2024

作者： Jiang, Chaofan Shang, Yaoxing Yu, Tian Liu, Zhicheng Li, Mingyang School of Automation Science and Electrical Engineering Beihang University Beijing China National Key Laboratory of Aircraft Integrated Flight Control Beihang University Beijing China Ningbo Institute of Technology Beihang University Ningbo China Tianmushan Laboratory Yuhang District Xixi Octagon City Hangzhou China

Electro-hydrostatic Actuator (EHA) is an important part which is used to control the control surface of aircraft. EHA has the advantage of higher efficiency compared with traditional hydraulic system. Compared with the hydraulic actuator, EHA adds motor, hydraulic pump, booster tank and other components. Therefore, the calculation of EHA efficiency is also more complex than that of hydraulic actuators. After research and analysis, the efficiency of wet motor-pump is low under large load or high speed. Using a passive load-sensitive EHA configuration can improve this situation. The motor copper loss can be reduced by reducing the displacement of piston pump under large load. But the displacement cannot be reduced blindly, which will lead to dynamic decline. The influence of displacement change velocity on dynamic and energy loss was studied. The effects of load sensitive variable displacement mechanism parameters such as piston area, spring stiffness, radius of damping hole and initial pressure on the velocity of displacement change were studied. The influence of parameters on dynamics and energy loss is obtained. So in order to balance efficiency and dynamics, particle swarm optimization method is adopted. Piston area, spring stiffness, radius of damping hole and initial pressure of variable displacement are taken as optimization variables. Energy loss and step response risetime are taken as optimization objectives. The energy loss and risetime are kept at a low level by obtaining appropriate load sensing mechanism parameters. The results show that the passive load sensing mechanism parameters obtained by particle swarm optimization algorithm can reduce the energy consumption of EHA under large load conditions and improve the efficiency of EHA without reducing the dynamic of EHA. © 2024, International Council of the Aeronautical sciences. All rights reserved.

关键词： Aircraft hydraulic systems

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Analysis of Oil Film Morphology of Valve Plate Pair in Axial Piston Pump

Analysis of Oil Film Morphology of Valve Plate Pair in Axial...

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IEEE Conference on Industrial Electronics and Applications (ICIEA)

作者： Xufeng Chen Liang Yan Xiaoshan Gao School of Automation Science and Electrical Engineering Beihang University Beijing China School of Automation Science and Electrical Engineering Beijing China Ningbo Institute of Technology Beihang University Ningbo China Tianmushan Laboratory Hangzhou China Science and Technology on Aircraft Control Laboratory Beihang University Beijing China

ISBN: (数字)9798350360868

ISBN: (纸本)9798350360875

In this paper, we delve into the oil film morphology of the valve plate pair in the axial piston pump. Specifically, we introduce the Euler method for multi-coordinate transformation and establish the oil film morphology equation when the cylinder is inclined and eccentric relative to the valve plate. Meanwhile, it is necessary to point out that the oil film morphology equation can also reflect the position of the valve plate relative to the cylinder. In order to verify the proposed oil film morphology equation, we carry out simulation verification. The simulation results show that the oil film morphology equation can well describe the oil film shape of the valve plate pair. The study of the oil film morphology equation can lay a foundation for the subsequent study of the lubrication and friction characteristics of the valve plate pair.

关键词： Pistons Shape Oils Friction Simulation Morphology Valves

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