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Preliminary study of the electrospray DPE peculiarities from the liquid surface in the presence of the CSWs

Plasma Science and Technology 2024年第5期26卷 110-120页

作者：贺伟国霍卫杰韩罗峰朱康武王锋王泽坤 School of Mechatronic Engineering and Automation Shanghai UniversityShanghai 200444People’s Republic of China Shanghai Aerospace Electronic Technology Institute Shanghai 201109People’s Republic of China Shanghai Aerospace Control Technology Institute Shanghai 201109People’s Republic of China

The Ultrasonic Electric Propulsion(UEP)system is a cutting-edge propulsion technology that is mostly used on platforms for small satellites(less than 10 kg).The characteristics of droplet partial emissions(DPEs)in the UEP system are investigated using a high-speed imaging technique(an ultra-high speed camera(NAC HX-6)and a long-distance microscope)in this *** experiments demonstrate that there are a few partial emission modes,including left-side emission,double-side emission,and right-side emission,that are present in the droplet emission process of the UEP *** modes are primarily caused by the partial formation of capillary standing waves(CSWs)on the emission surface of the ultrasonic *** emission rate for single-and double-sided emissions varies at different times,indicating that there are different CSWs engaged in droplet emission due to variations in the liquid film thickness and charge state of the liquid ***,as the droplets emit continuously,a raised area on the emission surface appears,with several droplets emitting there as a result of charge ***,photos of the CSWs with emitting droplets are obtained,which highlights the CSWs'distinctive wave morphology.

关键词： ultrasonic electric propulsion system microsatellite high-speed imaging technique droplet partial emissions electric field

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Air Compressor Fault Diagnosis Algorithm Using Voiceprint Feature Fusion

IAENG International Journal of Computer Science

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IAENG International Journal of Computer Science 2024年第10期51卷 1413-1425页

作者： Feng, Guoliang Wang, Fumin Yu, Tianming Xu, Ce The School of Automation Engineering Northeast Electric Power University Jilin Jilin 132012 China The School of Information and Control Engineering Jilin Institute of Chemical Technology Jilin Jilin 100190 China The Department of China Petroleum Liaohe Equipment Company Liaoning Panjin124000 China

As an important piece of equipment in industrial production, the health of an air compressor directly impacts the success of production. Therefore, researching fault diagnosis methods for air compressors is of significant importance in improving the continuity, reliability, and safety of production. Traditional fault diagnosis methods, however, struggle to obtain accurate fault features. The measurement of feature distribution differences between various working conditions lacks sufficient domain adaptability, making it challenging to achieve high recognition accuracy. Additionally, the operation of air compressors generates background noise, which can introduce interference and impact the accuracy in fault detection. In order to overcome these limitations, a fault diagnosis method for air compressors based on feature fusion is proposed. Firstly, the Mel-frequency cepstral coefficients (MFCC) features and wavelet transform features of the air compressor are extracted separately. Then, late fusion is applied at the decision level to combine confidence scores and predicted bounding boxes. The best network model is determined based on evaluation metrics to complete the classification. Based on the experimental results analysis, the feature fusion method demonstrated superior recognition performance. © (2024), (International Association of Engineers). All rights reserved.

关键词： Wavelet transforms

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EMI Noise Reduction with Magnetic Integrated LCL Filter in the Grid-Connected Inverter 49

EMI Noise Reduction with Magnetic Integrated LCL Filter in t...

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

作者： Liu, Xingyu Liu, Yitao Jiang, Shiqi College of Mechatronics and Control Engineering Shenzhen University Shenzhen China School of Electrical Engineering and Automation Harbin Institute of Technology Harbin China

ISBN: (纸本)9798350331820

This paper presents a magnetic integration scheme of LCL filter with symmetrical structure. This magnetic integration scheme uses EIE core to realize the inductor integration of symmetrical LCL filter, and realizes the decoupling and integration of upper and lower E-cores. The effectiveness of the magnetic integrated symmetrical LCL filter is verified by simulation and experiment. A 600 W single-phase SiC high-frequency inverter was used as the experimental platform to give the output current harmonic analysis results and conducted EMI noise. The symmetrical LCL filter with integrated structure not only has good harmonic suppression effect, but also greatly improves EMI suppression ability. The integrated filter is significantly smaller weight, helping to increase system power density. © 2023 IEEE.

关键词： Noise abatement

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On the Trail of West - East Signalling Interoperability: A Novel Proposal for an STM and an Interface Proposal for ETCS Onboard Operations on Class B Trackside Signalling Systems 14

On the Trail of West - East Signalling Interoperability: A N...

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14th International Conference on Electrical and Electronics engineering, ELECO 2023

作者： Çiftcioǧlu, Çaǧla Kivilcim Turan Söylemez, Mehmet Istanbul Technical University Railway Systems Engineering Istanbul Turkey Istanbul Technical University Control and Automation Engineering Department Istanbul Turkey

ISBN: (纸本)9798350360493

ERTMS and ALSN signalling systems are two of the major signalling systems that are under operation in the world. With the introduction of technical specifications for interoperability, ERTMS promises increased passenger and freight attractiveness and seamless cross-border operation. The ERTMS specifications recognise ETCS as a Class A train protection system and other signalling systems in Europe as Class B train protection systems. The specifications further define 'Specific Transmission Modules' (STMs) that enable trains with ETCS onboard to operate in railway lines that are equipped with Class B train protection systems. Although ALSN is classified as a Class B train protection system, ALSN STM is not defined yet. This paper focuses on proposing a novel ALSN STM that enables trains with ETCS onboard to operate in the countries where ALSN trackside is operational. The proposed STM unit is conceptualised as a system architecture, and a new standardised interface is introduced to enable signalling interoperability between ERTMS and ALSN. © 2023 IEEE.

关键词： Interoperability

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Reinforcement Learning Speed control Algorithm Based on Giants Teaching Mechanism for JT9D Low Pressure Shaft 49

Reinforcement Learning Speed Control Algorithm Based on Gian...

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

作者： Xu, Changyi Huo, Mingyu Zhang, Xiaokang School of Control Science and Engineering Dalian University of Technology Dalian China School of Mechatronic Engineering and Automation Shanghai University Shanghai China

ISBN: (纸本)9798350331820

As a benchmark of the aviation industry, JT9D aero engine is a general object to study the new algorithms. controlling the low pressure shaft speed is of great significance to the output power of JT9D. But the traditional PID controller often has overshoot. This kind of 'vibration' is a challenge to the various parts of the sophisticated aero engine. Solving this control problem with the help of reinforcement learning algorithms has become a new research direction. The basic framework of reinforcement learning is to explore a strategy that maximizes the expected reward through the continuous interaction between Agent and Environment. But in the interacting process, the behavior of Agent may be dangerous, especially when the interactive Environment is a complex or sophisticated system, such as aero engine. In order to solve the above problem, inspired by the inheritance and development of knowledge in human society, this paper proposes a reinforcement learning algorithm with giants teaching mechanism. To examine the effectiveness, this paper takes the JT9D aero engine as the Environment to verify the effect on the speed control of the low pressure shaft. And the experiments of Proportion Integral Differential(PID) and Soft Actor-Critic(SAC) algorithms are also studied as a comparison. Experimental results show that our algorithm is more effective in limiting low pressure shaft speed overshoot and avoiding algorithm runaway. © 2023 IEEE.

关键词： Reinforcement learning

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Adaptive dynamic surface control for quadrotor-slung load transportation system with uncertainties

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Science China(Technological Sciences) 2023年第10期66卷 2917-2929页

作者： DING Feng HUANG Jian SUN Chong AI Yong XU WenXia YANG ChenGuang School of Computer Science South-Central Minzu UniversityWuhan 430074China Key Laboratory of Ministryof EducationforImage Processing and Intelligent ControlHubei Key Laboratoryof Brain-inspired Intelligent Systems School of Artificial Intelligence and Automation Huazhong University of Science and TechnologyWuhan 430074China School of Computer Science and Engineering Wuhan Institute of TechnologyWuhan 430205China Key Laboratory of Ministry of Education for Autonomous Systems and Networked Control Guangdong Engineering Technology Research Center of Control of Intelligent SystemsCollege of Automation Science and EngineeringSouth China University of TechnologyGuangzhou 510640China

Quadrotors play a significant role in our lives and are transforming our *** cable-suspended loads is an unavoidable quadrotor application trend and a hot research topic in the control ***,the load swing and unpredictability pose significant challenges to the quadrotor's *** this paper,an anti-swing controller with an inner-outer control strategy for the quadrotor-slung load transportation system is *** facilitate the controller design,the outer position dynamics are restructured in the form of ***,a virtual controller is created to force the underactuated states to the dynamic surface to ensure the position subsystem's *** improve robustness,an adaptive law is used to eliminate the effects of uncertain cable ***,a dynamic surface controller for the inner attitude subsystem is presented to drive the actual force to the virtual *** is demonstrated that the control strategy can stabilize the quadrotor despite mass and cable length *** results are provided to demonstrate the efficacy and durability of the proposed method.

关键词： quadrotor-slung load transportation system dynamic surface control adaptive law cascade system model uncertainties

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Digital Twin Modeling for Aerospace CMG Based on Energy Analysis

Digital Twin Modeling for Aerospace CMG Based on Energy Anal...

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International Conference on Guidance, Navigation and control, ICGNC 2022

作者： Runhao, Cui Diyin, Tang Bin, Chen School of Automation Science and Electrical Engineering Beihang University Beijing100191 China Beijing Institute of Control Engineering Beijing100094 China

ISBN: (纸本)9789811966125

This paper presents a digital twin modeling approach for aerospace control moment gyro (CMG). The proposed modeling approach is on the basis of energy balance theory with the physical mechanism in order to analyze the degradation of CMG components. Firstly, a CMG digital twin (DT) energy model is established, which combines the energy consumption of each CMG unit. Next, the CMG degradation parameters are extracted through detailing the power loss of subsystems. Finally, by using CMG simulation data, the effectiveness and validity of the digital twin model are verified. The proposed digital twin model can be a useful tool for analyzing CMG degradation mechanism, and supporting anomaly detection and remaining useful life (RUL) prediction. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Energy utilization

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Speed control of Ultrasonic Motor Based on Muller Iteration

Speed Control of Ultrasonic Motor Based on Muller Iteration

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2023 International Conference on Artificial Intelligence and automation control, AIAC 2023

作者： Zhang, Hui Yin, Guoliang Zhang, Zhaowei Wu, Zhiguo Zuo, Xiaozhong Shenyang Jianzhu University College of Electrical and Control Engineering Shenyang China Shenyang Jianzhu University Shenyang Institute of Automation Chinese Academy of Sciences College of Electrical and Control Engineering Shenyang China Chinese Academy of Sciences Shenyang Institute of Automation Shenyang China

ISBN: (纸本)9798350383805

Newton iterative learning is a common method for nonlinear speed control of ultrasonic motors, but it requires the determination of the differential term, which is difficult and affects the performance. To overcome this problem, a Muller iterative learning control strategy based on numerical analysis is proposed in this paper. A STM32-based ultrasonic motor drive control system is designed to implement the proposed strategy and achieve precise control of the motor speed. The simulation and experimental results show that the proposed method can effectively improve the control performance and response speed of the ultrasonic motor, demonstrating its feasibility in practical applications. © 2023 IEEE.

关键词： Speed control

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CNS/INS Integrated Navigation Method Based on Improved Adaptive CKF Algorithm 49

CNS/INS Integrated Navigation Method Based on Improved Adapt...

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

作者： Wang, Dong Yang, Jing Xiong, Kai Li, Wenling School of Automation Science and Electrical Engineering Beijing University of Aeronautics and Astronautics Beijing China Science and Technology on Space Intelligent Control Laboratory Beijing Institute of Control Engineering Beijing China

ISBN: (纸本)9798350331820

Aiming at the problem that measurement model uncertainty restrains navigation accuracy in the celestial/ inertial (CNS/INS) integrated navigation system, a kind of CNS/INS integrated navigation method based on improved adaptive cubature Kalman filter (CKF) is proposed. In order to mitigate the influence of installation error and axis disturbance error of star camera, angular distance between starlight vector of stars and line of sight vector of space targets is employed to establish the measurement model;the measurement noise covariance matrix (MNCM) is estimated online to lower the model uncertainty;adaptive adjustment coefficient is constructed based on squared Mahalanobis distance (SMD) of measurement innovation to adjust forgetting factor online to further improve robustness and adaptability of the method. Simulation results demonstrate that the proposed method can achieve higher navigation accuracy compared to standard and classical method under measurement model mismatch. © 2023 IEEE.

关键词： Uncertainty analysis

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Uncertainty and its Effect on Optimal Multidrug control of Hemodynamic Variables

Uncertainty and its Effect on Optimal Multidrug Control of H...

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2024 American control Conference, ACC 2024

作者： Popescu, Teodora Birs, Isabela R. Othman, Ghada Ben Yumuk, Erhan Mihai, Marcian Hegedus, Erwin Copot, Dana De Keyser, Robin Ionescu, Clara M. Muresan, Cristina I. Technical University of Cluj-Napoca Department of Automation Cluj-Napoca Romania Ghent University Research Group on Dynamical Systems and Control Department of Electromechanics Systems and Metal Engineering Tech Lane Science Park 125 Gent9052 Belgium Istanbul Technical University Department of Control and Automation Engineering Maslak Istanbul34469 Turkey

ISBN: (纸本)9798350382655

Computer aided control in biomedical applications is gaining more and more popularity due to numerous research studies that have proven the efficiency of automatic control over manual dosing, which is highly susceptible to human errors. Optimal drug dosing is best achieved using automatic control, which triggers important benefits in terms of both costs and patient side-effects. However, mathematical models for patients are highly susceptible to large modeling uncertainty. A predictive control algorithm is designed in this paper for optimal multidrug control of hemodynamic variables. Improved closed loop performance is obtained compared to similar control strategies, for ± 30% modeling uncertainty. The simulation results demonstrate that predictive control is a feasible solution for optimal drug dosing. An analysis of the closed loop performance for significant patient variability shows that controllers tuned using a nominal patient model often fail to achieve desired robustness. To limit the effect of modeling uncertainty, the prediction model should be updated using an online identification tool to extract patient features. © 2024 AACC.

关键词： Predictive control systems

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