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A Multi-Condition Sequential Network Ensemble for Industrial Energy Storage Prediction Considering the Condition Switching Characteristics

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IEEE/CAA Journal of Automatica Sinica 2025年第2期12卷 369-380页

作者： Tianyu Wang Fan Zhou Yangjie Wu Jun Zhao Wei Wang IEEE the School of Control Science and Engineering Dalian University of Technology the School of Information Science and Engineering Dalian Polytechnic University

As a crucial storage and buffering apparatus for balancing the production and consumption of byproduct gases in industrial processes, accurate prediction of gas tank levels is essential for optimizing energy system scheduling. Considering that the continuous switching of the pressure and valve status(mechanism knowledge) would bring about multiple working conditions of the equipment, a multi-condition time sequential network ensembled method is proposed. In order to especially consider the time dependence of different conditions, a centralwise condition sequential network is developed, where the network branches are specially designed based on the condition switching sequences. A branch combination transfer learning strategy is developed to tackle the sample imbalance problem of different condition data. Since the condition or status data are real-time information that cannot be recognized during the prediction process, a pre-trained and ensemble learning approach is further proposed to fuse the outputs of the multi-condition networks and realize a transient-state involved prediction. The performance of the proposed method is validated on practical energy data coming from a domestic steel plant, comparing with the state-of-the-art algorithms. The results show that the proposed method can maintain a high prediction accuracy under different condition switching cases, which would provide effective guidance for the optimal scheduling of the industrial energy systems.

关键词： Ensemble learning industrial energy prediction multi-working condition structural deep network transfer learning

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A Constraint Adaptive Multi-Tasking Differential Evolution Algorithm:Designed for Dispatch of Integrated Energy System in Coal Mine

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Tsinghua science and technology 2024年第2期29卷 368-385页

作者： Canyun Dai Xiaoyan Sun Hejuan Hu Yong Zhang Dunwei Gong School of Information and Control Engineering China University of Mining and TechnologyXuzhou 221116China School of Information Science and Technology Qingdao University of Science and TechnologyQingdao 266061China

The dispatch of integrated energy systems in coal mines(IES-CM)with mine-associated supplies is vital for efficient energy utilization and carbon emissions ***,IES-CM dispatch is highly challenging due to its feature as multi-objective and strong *** constrained multi-objective evolutionary algorithms often fall into locally feasible domains with poorly distributed Pareto front,which greatly deteriorates dispatch *** tackle this problem,we transform the traditional dispatch model of IES-CM into two tasks:the main task with all constraints and the helper task with constraint *** we propose a constraint adaptive multi-tasking differential evolution algorithm(CA-MTDE)to optimize these two tasks *** helper task with constraint adaptive is developed to obtain infeasible solutions near the feasible *** purpose of this infeasible solution is to transfer guiding knowledge to help the main task move away from local ***,a dynamic dual-learning strategy using DE/current-to-rand/1 and DE/current-to-best/1 is developed to maintain task diversity and ***,we comprehensively evaluate the performance of CA-MTDE by applying it to a coal mine in Shanxi Province,considering two IES-CM *** demonstrate the feasibility of CA-MTDE and its ability to generate a Pareto front with exceptional convergence,diversity,and distribution.

关键词： dispatch integrated energy system coal mine evolutionary multi-tasking constraint differential evolution

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Interpretable Data-Driven Learning With Fast Ultrasonic Detection for Battery Health Estimation

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IEEE/CAA Journal of Automatica Sinica 2025年第1期12卷 267-269页

作者： Kailong Liu Yuhang Liu Qiao Peng Naxin Cui Chenghui Zhang the School of Control Science and Engineering Shandong University the Information Technology Analytics & Operations GroupQueen's University Belfast

Dear Editor,Health management is essential to ensure battery performance and safety, while data-driven learning system is a promising solution to enable efficient state of health(SoH) estimation of lithium-ion(Liion) batteries. However, the time-consuming signal data acquisition and the lack of interpretability of model still hinder its efficient deployment. Motivated by this, this letter proposes a novel and interpretable data-driven learning strategy through combining the benefits of explainable AI and non-destructive ultrasonic detection for battery SoH estimation. Specifically, after equipping battery with advanced ultrasonic sensor to promise fast real-time ultrasonic signal measurement, an interpretable data-driven learning strategy named generalized additive neural decision ensemble(GANDE) is designed to rapidly estimate battery SoH and explain the effects of the involved ultrasonic features of interest.

关键词： Electronic health record

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Adaptive control of a Flexible Manipulator With Unknown Hysteresis and Intermittent Actuator Faults

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IEEE/CAA Journal of Automatica Sinica 2025年第1期12卷 148-158页

作者： Shouyan Chen Weitian He Zhijia Zhao Yun Feng Zhijie Liu Keum-Shik Hong School of Mechanical and Electrical Engineering Guangzhou University the School of Control Science and Engineering Shandong University IEEE the College of Electrical and Information Engineering Hunan University the National Engineering Research Center for Robot Visual Perception and Control Technology Hunan University the School of Intelligence Science and Technology University of Science and Technology Beijing (USTB) the Institute for Future the School of AutomationQingdao University the School of Mechanical Engineering Pusan National University

In this study, we consider a single-link flexible manipulator in the presence of an unknown Bouc-Wen type of hysteresis and intermittent actuator faults. First, an inverse hysteresis dynamics model is introduced, and then the control input is divided into an expected input and an error compensator. Second,a novel adaptive neural network-based control scheme is proposed to cancel the unknown input hysteresis. Subsequently,by modifying the adaptive laws and local control laws, a fault-tolerant control strategy is applied to address uncertain intermittent actuator faults in a flexible manipulator system. Through the direct Lyapunov theory, the proposed scheme allows the state errors to asymptotically converge to a specified interval. Finally,the effectiveness of the proposed scheme is verified through numerical simulations and experiments.

关键词： Adaptive control flexible manipulator intermittent actuator faults inverse hysteresis dynamics vibration control

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Micro-Spatial Attention with Sparse Constraint for Self-Supervised Learning for Oleaginous Yeast Image Representation

Micro-Spatial Attention with Sparse Constraint for Self-Supe...

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2023 IEEE International Conference on Visual Communications and Image Processing, VCIP 2023

作者： Ohtomo, Kazuma Kitahara, Yukina Harakawa, Ryosuke Nakamura, Akihiro Shida, Yosuke Ogasawara, Wataru Iwahashi, Masahiro Nagaoka University of Technology Department of Information Science and Control Engineering Japan Nagaoka University of Technology Department of Electrical Electronics and Information Engineering Japan Nagaoka University of Technology Department of Science of Technology Innovation Japan Nagaoka University of Technology Department of Bioengineering Japan

ISBN: (纸本)9798350359855

Feature representation of oleaginous yeast images is essential for non-invasively observing their cultivation status. However, conventional methods are difficult to capture the visual characteristics of oleaginous yeasts at the extremely local spatial regions. To tackle this problem, this paper proposes micro-spatial attention with sparse constraints for self-supervised learning. Specifically, we newly design a micro-spatial attention module to focus on the extremely local spatial regions for feature representation. Unlike the existing spatial attention module, which requires the guide information (e.g., labels and textual queries) to focus on specific regions, our proposed module employs a sparse constraint. By combining the sparse constraint with self-supervised learning, we can automatically focus on essential regions, which appear in extremely local regions. This improves the feature representation power for oleaginous yeast images with micro-spatial contexts. Experiments on real Lipomyces starkeyi datasets, a specific type of oleaginous yeasts, confirm the superiority of our method. Moreover, our method realized clustering of oleaginous yeast images, enabling us to non-invasively observe the cultivation trends over time. © 2023 IEEE.

关键词： Image enhancement

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Predictor and ESO-based adaptive tracking control of heterogeneous vehicle platoon

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science China(Technological sciences) 2024年第9期67卷 2842-2852页

作者： SUN ZhiZe LIU Yang ZHANG LinChuang College of Control Science and Engineering Bohai UniversityJinzhou 121013China College of Automation and Electronic Engineering Qingdao University of Science and TechnologyQingdao 266061China College of Information Science and Technology Bohai UniversityJinzhou 121013China

This paper investigates the distributed adaptive platoon tracking problem of third-order heterogeneous vehicles subject to model uncertainties. The design process is divided into two steps. Firstly, an adaptive tracking controller is designed for the dynamic leading vehicle. And then, the distributed adaptive controllers are established for followers. Moreover, the predictor technique is used to improve the estimate performance of the adaptive law, and the total disturbance is approximated and compensated by the variable gain nonlinear extended state observers(NESOs) driven by the estimation error. By introducing the variable gain hyperbolic tangent tracking differentiator(HTTD), the “complexity explosion” problem is avoided. The feasibility and effectiveness of the proposed protocol are verified by simulation tests.

关键词： variable gain NESOs heterogeneous vehicles platoon tracking predictor

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Numerical Simulation of Influence of Initial Target Temperature on Laser Ablation Propulsion Efficiency 51

Numerical Simulation of Influence of Initial Target Temperat...

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51st IEEE International Conference on Plasma science, ICOPS 2024 and 4th Asia-Pacific Conference on Plasma and Terahertz science, APCOPTS 2024

作者： Wang, Y. Iwasa, M. Takahashi, K. Sasaki, T. Kikuchi, T. Nagaoka University of Technology Department of Science of Technology Innovation Nagaoka Japan Nagaoka University of Technology Department of Electrical Electronics and Information Engineering Nagaoka Japan Nagaoka University of Technology Department of Nuclear Technology Nagaoka Japan

ISBN: (纸本)9798350360912

Laser ablation propulsion is a kind of propulsion method using electromagnetic energy. Among them, the pulsed laser ablation propulsion provides favorable fuel selectivity and external energy input, resulting in easy miniaturization. Previous experimental results showed that the propulsion efficiency was improved during the cumulative laser irradiation on the target. The reason might be affected by the initial temperature of target and the absorption ratio of the laser energy. In this study, we numerically evaluate the influence of the initial temperature of target on the laser propulsion efficiency. © 2024 IEEE.

关键词： Laser ablation

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Enhanced Tube-Based Event-Triggered Stochastic Model Predictive control With Additive Uncertainties

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IEEE/CAA Journal of Automatica Sinica 2025年第3期12卷 596-605页

作者： Chenxi Gu Xinli Wang Kang Li Xiaohong Yin Shaoyuan Li Lei Wang the School of Control Science and Engineering Shandong University IEEE the School of Electronic and Electrical Engineering University of Leeds the Qingdao University of Science and Technology the Department of Automation Shanghai Jiao Tong University the Key Laboratory of System Control and Information Processing Ministry of Education of China

This paper proposes an event-triggered stochastic model predictive control for discrete-time linear time-invariant(LTI) systems under additive stochastic disturbances. It first constructs a probabilistic invariant set and a probabilistic reachable set based on the priori knowledge of system *** with enhanced robust tubes, the chance constraints are then formulated into a deterministic form. To alleviate the online computational burden, a novel event-triggered stochastic model predictive control is developed, where the triggering condition is designed based on the past and future optimal trajectory tracking errors in order to achieve a good trade-off between system resource utilization and control performance. Two triggering parameters σ and γ are used to adjust the frequency of solving the optimization problem. The probabilistic feasibility and stability of the system under the event-triggered mechanism are also examined. Finally, numerical studies on the control of a heating, ventilation, and air conditioning(HVAC) system confirm the efficacy of the proposed control.

关键词： Event-triggered mechanism heating, ventilation, and air conditioning (HVAC) control probabilistic reachable set stochastic model predictive control

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Grid Current control Method Appling Active Damping for Three-level Flying Capacitor Inverter with Small LCL-Filter

Grid Current Control Method Appling Active Damping for Three...

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2024 Energy Conversion Congress and Expo Europe, ECCE Europe 2024

作者： Watanabe, Hiroki Itoh, Jun-Ichi Nagaoka University of Technology Dept. of Electrical Electronics and Information Engineering Nagaoka Japan Nagaoka University of Technology Dept. of Science of Technology Innovation Nagaoka Japan

ISBN: (纸本)9798350364446

This paper proposes an active damping method in the grid current control for a three-level flying capacitor grid-tied inverter with high robustness against the grid impedance variation. The proposed active damping control expands the stability region by adjusting the updating period of the voltage reference in active damping. This paper also introduces the design criteria of the LCL-filter and feedback control design for the stabilization of the inverter system. Experimental results demonstrate the validity of the proposed current control method. The experimental result shows that the proposed control improved the stability of the flying capacitor inverter under grid impedance variations. Finally, a sinusoidal current waveform with a Total Harmonic Distortion (THD) of less than 5% was obtained. © 2024 IEEE.

关键词： Damping

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Analysis of PWM Voltage Detection Delay for Current Source Type Electric Motor Emulator

Analysis of PWM Voltage Detection Delay for Current Source T...

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2024 Energy Conversion Congress and Expo Europe, ECCE Europe 2024

作者： Tanaka, Gensui Watanabe, Hiroki Itoh, Jun-Ichi Nagaoka University of Technology Dept. of Technology of Science Innovation Nagaoka Japan Nagaoka University of Technology Dept. of Electrical Electronics and Information Engineering Nagaoka Japan

ISBN: (纸本)9798350364446

This paper focuses on input voltage detection for an electric motor emulator (EME), which imitates various motor operations accurately. The EME has to detect the PWM voltage of an inverter under test (IUT) as the input voltage of the EME. The delay in the PWM voltage detection reduces the emulation accuracy. This paper reveals the relationship between the cutoff frequency of a low-pass filter (LPF) for voltage detection and the current control bandwidth of both the IUT and the EME. The analysis result mentions that a low cutoff frequency, such as 1 kHz, is acceptable under the current control bandwidth of 100 Hz in the IUT. In addition, the cutoff frequency of the LPF should be set to a frequency larger than eight times the current control bandwidth of the IUT to keep the transient response in any conditions. Furthermore, it is verified that the phase lead compensation keeps the current response when the cutoff frequency and the current control bandwidth of the IUT are close. © 2024 IEEE.

关键词： Cutoff frequency

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