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EEA - Electrotehnica, Electronica, Automatica 2023年第1期71卷 41-52页

作者： Guo, Xiwen Fang, Zhaowei Zhou, Rui Wang, Qunjing Zhang, Ronglin School of Electrical Engineering and Automation Anhui University Anhui Hefei China National Engineering Laboratory of Energy-saving Motor & Control Technique Anhui University Anhui China Industrial Power Saving and Safety Laboratory Anhui University Anhui Hefei China Collaborative Innovation Centre of Industrial Energy-Saving and Power Quality Control Anhui University China

This paper aims at the problems of no core in the stator coil of a compact multi-degree-of-freedom (M-DOF) motor, i.e. small output torque and low power density. In order to increase the output torque, a stator permanent magnet spherical motor based on flux switching is proposed. Firstly, the principle of flux switching is introduced. The basic structure of the new motor is preliminarily designed, and the motion mechanism is analysed for spin motion and tilt motion respectively. Then the minimum model of a novel motor is established in ANSYS by using the virtual displacement method. The key parameters such as the ratio of stator pole tooth to permanent magnet size, different stator pole tooth end structures, different pole tooth surface shapes, different pole sizes, permanent magnet thickness, different magnetisation methods and different ampere-turn numbers are optimised within a reasonable parameter range. The simulation results are analysed and discussed, and the optimal results for each key parameter are thus given. Finally, considering the arrangement of the stator and rotor poles, the rationality of the three-DOF motion was verified by means of two energising strategies, spin motion and tilt motion, verified the reasonableness of the above optimal parameters and thus determined the structural parameters of the new spherical motor to accomplish the three-DOF motion and the maximum torque range. The simulation results show that the electromagnetic torque varies approximately linearly over a range of ampere-turns for the same position of the rotor pole teeth. It provides an opportunity for the M-DOF motor design of a high torque output and power density. © 2023, Editura ELECTRA. All rights reserved.

关键词： Torque

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SR-STM: Simulation–Reality Spatial–Temporal Model for Early Warning of Power Tilt in Nuclear Power Plants

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IEEE Internet of Things Journal 2025年第11期12卷 17854-17868页

作者： Lin, Weiqing Miao, Xiren Chen, Jing Duan, Pengbin Ye, Mingxin Xu, Yong Liu, Xinyu Jiang, Hao Fuzhou University College of Electrical Engineering and Automation Fuzhou350108 China China Nuclear Power Technology Research Institute Company Ltd. Research Department of Reactor Measurement and Control Shenzhen518000 China National Nuclear Power Operation Maintenance Technology Company Ltd. Department of Instrument & Control Equipment Hangzhou311200 China

Balanced in-core power levels in nuclear power plants (NPPs) are critical for safety, whereas power tilt disrupts this balance, reducing safety margins and posing risks. Early warning for power tilt offers an effective way of optimizing monitoring. Due to abnormal-sample scarcity and security concerns, common data-driven models train on the simulated data generated by simulators. However, achieving a satisfactory effect in practices is difficult because simulators imperfectly emulate reality. Thus, we propose a power tilt-oriented early warning method called simulation–reality spatial–temporal model (SR-STM). Motivated by the physical model in NPPs, a knowledge-guided hierarchical graph is designed to characterize spatial correlations among local power levels for SR-STM’s input. The SR-STM uses a lightweight spatial–temporal network (LST-Net) as a feature extractor, balancing precision, and efficiency. To bridge sim-real interdomain discrepancies, SR-STM utilizes node-alignment adversarial learning (NAAL) for fine weight tuning in subdomain, and eigenvalue-based scale alignment (ESA) for sim-real feature proximity. Forecasting local power levels using the SR-STM, dynamic metrics and alarm limits are calculated and compared to perform the early warning task. The online experimental prototype verifies that SR-STM surpasses various state-of-the-art methods in terms of early warning and sim-real cross-domain tasks. © 2014 IEEE.

关键词： Eigenvalues and eigenfunctions

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Predefined time backstepping control of photovoltaic grid connected inverter 6

Predefined time backstepping control of photovoltaic grid co...

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2023 6th International Conference on Power Electronics and control engineering, ICPECE 2023

作者： Xu, Zhao Ji, Yuehui Chen, Jiaqi Liu, Junjie The School of Electrical Engineering and Automation Tianjin University of Technology Tianjin300384 China Tianjin Key Laboratory for Control Theory and Applications in Complicated Industry Systems Tianjin300384 China

The large-scale grid connection of photovoltaic (PV) systems creates great hazards to the operation of power equipment and has a great impact on the stability and reliability of power systems. To achieve stable control and flexible management of PV grid connection, a predefined time adaptive backstepping control method based on the predefined boundary is proposed. Based on the predefined boundary time-varying function, the user's predefined boundary design of the control signal is accomplished to ensure the boundedness of the global signal, which is independent of the initial state of the system. The controller with predefined boundaries is designed based on backstepping control, and the estimation and compensation of perturbations are attained based on adaptive control. The global predefined time stability of the predefined boundary of the closed-loop system is certified using the Lyapunov function. Simulation studies attest to the performance of the predefined time control strategy. © Published under licence by IOP Publishing Ltd.

关键词： Lyapunov functions

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Autoregressive Minimum Entropy Deconvolution Enhanced Resonance Features for Fault Diagnosis of Wind Turbine Gearbox

Autoregressive Minimum Entropy Deconvolution Enhanced Resona...

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2023 International Conference on automation, control and Electronics engineering, CACEE 2023

作者： Shi, Xiaoyu Sun, Kang Henan Polytechnic University School of Electrical Engineering and Automation Jiaozuo China Henan Polytechnic University Dianrong Intelligent Technology Co. Ltd. School of Electrical Engineering and Automation Henan Key Laboratory of Intelligent Detection and Control of Coal Mine Equipment Jiaozuo China

ISBN: (纸本)9798350309201

Addressing the problem that the pulse component often submerges in other frequency components during the failure of the wind turbine gearbox, it is difficult to extract effectively the early fault characteristics. This paper proposed autoregressive minimum entropy deconvolution enhanced resonance features for wind turbine gearbox fault diagnosis. The method is combined with 1DCNN to achieve high-accuracy fault diagnosis. Firstly, the resonance-based sparse signal decomposition was utilized to decompose the vibration signals into a high resonance component containing noise and harmonic components and a low resonance component containing fault impulse components. Secondly, the AR-MED was employed to enhance the weak impulse features in the low resonance component, thus further enhancing the periodic impulse components of the gearbox. Finally, a feature enhanced 1DCNN was constructed to fuse the decomposed harmonic and periodic impulse components for feature integration, targeted training, and classification. The outcomes of the experiment indicated the efficacy and supremacy of the suggested approach in extracting information about fault characteristics and enhancing the accuracy of fault diagnosis in wind turbine gearbox systems in contrast to current fault diagnosis models. © 2023 IEEE.

关键词： Failure analysis

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Fault prediction of track circuit compensation capacitor based on MFO-LSTM

Fault prediction of track circuit compensation capacitor bas...

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2023 CAA Symposium on Fault Detection, Supervision and Safety for Technical Processes, SAFEPROCESS 2023

作者： Gao, Hongli Shi, Jianqiang Bao, Chengqi Li, Peng Chen, Guangwu Lanzhou Jiaotong University School of Automation and Electrical Engineering Lanzhou China Lanzhou Jiaotong University Key Laboratory of Plateau Traffic Information Engineering and Control of Gansu Province Lanzhou China

ISBN: (纸本)9798350337754

Based on time series data collected by the ZPW-2000A track circuit detection vehicle, which detects the induced voltage of compensating capacitor, this paper presents a method for predicting compensating capacitor faults using the MFO-LSTM prediction model. Specifically, an induced voltage sequence is established based on the section and month, and an LSTM network, optimized by the Moth-flame optimization algorithm, is employed to identify the induced voltage variation over time and predict the fault of the compensated capacitor induction voltage over a given period. Experimental results demonstrate that the proposed model can accurately fit the induced voltage curve, with small error, providing valuable technical support for maintenance of railway compensation capacitors. © 2023 IEEE.

关键词： Timing circuits

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Event-triggered Adaptive control of Switched Nonlinear Cyber-physical Systems

Event-triggered Adaptive Control of Switched Nonlinear Cyber...

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2024 China automation Congress, CAC 2024

作者： Yuan, Manman Qian, Wei School of Electrical Engineering and Automation Henan Polytechnic University Jiaozuo454003 China Henan Key Laboratory of Intelligent Detection and Control of Coal Mine Equipment Jiaozuo454003 China

ISBN: (纸本)9798350368604

The event-triggered control problem of switched nonlinear cyber-physical systems (CPSs) is investigated under average dwell time (ADT). A new dynamic gain is proposed, which can effectively compensate for the unknown growth rate and measurement sensitivity. Then, a switched observer integrated with a novel dynamic gain is designed and an event-triggered output feedback controller is developed, which can effectively mitigate the communication burden. Finally, it is proved that all the closed-loop signals are bounded and all system states converge to the origin. Accordingly, the effectiveness of the presented scheme is verified through the simulation of switched RLC circuit system. © 2024 IEEE.

关键词： Adaptive control systems

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Reinforcement Learning Behavioral control for Nonlinear Autonomous System

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IEEE/CAA Journal of Automatica Sinica 2022年第9期9卷 1561-1573页

作者： Zhenyi Zhang Zhibin Mo Yutao Chen Jie Huang the College of Electrical Engineering and Automation Fuzhou UniversityFuzhou 350108 the Key Laboratory of Industrial Automation Control Technology and Information Processing Education Department of Fujian ProvinceFuzhou 350108 G+Industrial Internet Institute Fuzhou UniversityFuzhou 350108China

Behavior-based autonomous systems rely on human intelligence to resolve multi-mission conflicts by designing mission priority rules and nonlinear *** this work,a novel twolayer reinforcement learning behavioral control(RLBC)method is proposed to reduce such dependence by trial-and-error ***,in the upper layer,a reinforcement learning mission supervisor(RLMS)is designed to learn the optimal mission *** with existing mission supervisors,the RLMS improves the dynamic performance of mission priority adjustment by maximizing cumulative rewards and reducing hardware storage demand when using neural *** the lower layer,a reinforcement learning controller(RLC)is designed to learn the optimal control *** with existing behavioral controllers,the RLC reduces the control cost of mission priority adjustment by balancing control performance and *** error signals are proved to be semi-globally uniformly ultimately bounded(SGUUB).Simulation results show that the number of mission priority adjustment and the control cost are significantly reduced compared to some existing mission supervisors and behavioral controllers,respectively.

关键词： Behavioral control mission supervisor nonlinear autonomous system reinforcement learning

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A Nonsmooth Observer Based on Friction Model Compensation for Sensorless Permanent Magnet Synchronous Motor 42

A Nonsmooth Observer Based on Friction Model Compensation fo...

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42nd Chinese control Conference, CCC 2023

作者： Zhang, Zaishan Zhu, Wenwu Yu, Ke Wang, Xiangyu Li, Shihua School of Automation Southeast University Nanjing210096 China Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education Nanjing210096 China School of Electrical Engineering and Automation Hefei University of Technology Hefei230009 China

ISBN: (纸本)9789887581543

In this paper, a nonsmooth observer considering friction compensation is proposed for the sensorless permanent magnet synchronous motor (PMSM) to estimate the rotor position and speed. Friction is one of the main factors affecting the tracking accuracy of the motor at low speed, especially in the back and forth motion of the motor. Firstly, based on the Stribeck friction model, a nonlinear friction model of the motor is established. Secondly, a nonsmooth observer with friction compensation is designed to estimate the position and speed of the rotor, and the lumped disturbance of the system at the same time. Further, the stability analysis of this nonsmooth observer is given. Finally, the effectiveness of the proposed method is verified by the simulation results. © 2023 Technical Committee on control Theory, Chinese Association of automation.

关键词： Sensorless control

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A Defect Detection Algorithm of Round Tablets Based on Image Information 9

A Defect Detection Algorithm of Round Tablets Based on Image...

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9th International Conference on Intelligent Computing and Signal Processing, ICSP 2024

作者： Zhang, Lianqi Zhou, Rui Sun, Yuan Chen, Xiaojin Yang, Zhiwang College of Electrical Engineering and Automation Xiamen University of Technology Fujian Xiamen China Xiamen Key Laboratory of Frontier Electric Power Equipment and Intelligent Control Fujian Xiamen China

ISBN: (纸本)9798350376548

This paper presents a novel circular tablet defect detection algorithm based on machine learning techniques to address the challenge of insufficient data for training samples. Utilizing cameras, lenses, and light sources, we establish an image acquisition hardware system for capturing tablet images, and on the basis of image preprocessing, the designed defect detection algorithm is used for detection, forming a complete and efficient round tablet defect detection process. The experimental results have been demonstrated that the performance of the sample missed detection rate was 0.2%, the false detection rate is 0.6%, and the total error rate is 0.8%, all lower than 1%. The proposed detection algorithm does not require sample training and can be well applied to the identification of defects such as abnormal tablet circular areas and foreign matter on the surface of tablets. © 2024 IEEE.

关键词： Detection algorithm Image information Tablet defects

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Triggered Mechanism for Strict Feedback Systems under Unknown control Directions 14

Triggered Mechanism for Strict Feedback Systems under Unknow...

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14th Asian control Conference, ASCC 2024

作者： Liu, Guilong Wu, Hongda Yang, Yongliang Xie, Wei Zhang, Weidong School of Automation and Electrical Engineering University of Science and Technology Beijing Beijing100083 China Shanghai Jiao Tong University Key Laboratory of System Control and Information Processing Ministry of Education Department of Automation Shanghai200240 China

ISBN: (纸本)9789887581598

This paper presents an event-based asymptotic tracking control scheme designed for strict feedback systems with unknown control directions. The control directions directly determine how the controller acts on the system, thus impacting the system's stability and convergence speed. When the control directions are unknown, it presents a significant challenge in controller design. To tackle this issue, the Nussbaum-type gains are introduced. However, this method increases communication overhead. Hence, an event-triggered mechanism is introduced to alleviate this burden. Additionally, to achieve and maintain desired target states, satisfying control requirements and performance demands, this paper improves the event-triggered mechanism to achieve asymptotic tracking. Finally, the feasibility and effectiveness of the proposed design are validated through a simulation example. © 2024 Asian control Association.

关键词： Feedback

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