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3rd IEEE Industrial electronics Society Annual On-Line Conference, ONCON 2024

作者： Zhang, Yu Li, Yajing Ran, Guangtao Yu, Hao Ma, Guangfu Department of Automation Shenzhen518055 China Shanghai Institute of Aerospace System Engineering Shanghai200241 China Harbin Institute of Technology Department of Control Science and Engineering Harbin150001 China School of Automation Beijing Institute of Technology Beijing100081 China

ISBN: (纸本)9798331540319

This paper proposes a dynamic event-triggered control method for first-order multi-agent systems with input delays and disturbances under switching topologies. The controller design and its properties of dynamic event-triggered fixed-time consensus are presented in detail. Furthermore, agents can achieve consensus in a fixed time for any initial conditions and topologies that comply with the control protocol. Zeno behavior is avoided. Simulation examples demonstrate the effectiveness of the proposed algorithm and simulate scenarios in which the communication environment deteriorates due to external disturbances affecting the MASs. © 2024 IEEE.

关键词： Multi agent systems

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An Object-Oriented Model to Develop Controllers of Autonomous Underwater Vehicles by Specializing the Unified Architecture Framework

An Object-Oriented Model to Develop Controllers of Autonomou...

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2024 International Conference on Control, Robotics and Informatics, ICCRI 2024

作者： Cao, Duc Sang Ngo, Van Hien Le, Tran Thang Ngo, Van He Control Automation in Production and Improvement of Technology Institute Department of Electric Actuators & Automation Ha Noi Viet Nam Hanoi University of Science and Technology Department of Mechanical Engineering Ha Noi Viet Nam Control Automation in Production and Improvement of Technology Institute Department of Integrated System Ha Noi Viet Nam

ISBN: (纸本)9798350380309

Ocean engineering demands systemic solutions for mission-critical demands and technological challenges. From an industrial control perspective, development engineers need to factor in both costs and established standards to ensure the efficient implementation of the control system development lifecycle within a reasonable budget. Customization and reusability play key roles in driving down costs, resources, and development time when creating new applications. In the paper, the Unified Architecture Framework (UAF) [5], Model Based systems engineering (MBSE), combined with real time Unified Modeling Language/systems Modeling Language (UML/SysML) are merged and tailored to produce an object-oriented (OO) control model. This model is then extensively applied to develop a controller for Autonomous Underwater Vehicles (AUVs). To reach this objective, the dynamic model of an Autonomous Underwater Vehicle (AUV) are linked with specific specializations of UAF/MBSE. In this setup, the model of analysis is precisely outlined through the detailed description of a use case model, aimed at closely capturing the intricate control demands. The designed model is then specialized by using the real-time UML/SysML to retain key blocks, which are used to describe in detail structures for control and behaviors of AUV. Next, the designed model is transformed into the model of implementation via round-trip engineering, facilitating the quick realization of an AUV controller. Building upon this object-oriented model, a controller for course-tracking applied to a miniature AUV was designed. The results from the simulation demonstrate the good feasibility of the proposed model. © 2024 IEEE.

关键词： Budget control

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The Simulation Design of Attitude Control of Cruise Missile Based on Fireworks Algorithm

The Simulation Design of Attitude Control of Cruise Missile ...

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2024 International Conference on Cyber-Physical Social Intelligence, ICCSI 2024

作者： Liu, Mu Yue, Guang Wang, Pei-Zhong Ren, Lin Beijing Institute of Technology School of Information and Electronics Beijing China Taiyuan Institute of Technology Department of Automation Taiyuan China Taiyuan Institute of Technology Department of Electronic Engineering Taiyuan China

ISBN: (纸本)9798350376739

Attitude control of cruise missiles is a key technology for flight stability and accuracy. This paper establishes an attitude dynamics model and analyzes the attitude changes of cruise missiles during flight. It compares attitude calculation methods using algorithms such as the fourth-order Runge-Kutta, improved Euler method, and second-order Runge-Kutta. The convergence of accuracy is tested using the Fireworks Algorithm, and a dynamic model is established through Simulink simulation to test and analyze long-term stable flight by adjusting time and control parameters. The research results provide new ideas and methods for the attitude control of cruise missiles, with significant theoretical and practical implications. With continuous technological advancements, cruise missiles will play an increasingly important role in both military and civilian fields in the future. © 2024 IEEE.

关键词： Air to air missiles

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Towards Better Unguided Depth Completion via Cross-Modality Knowledge Distillation in the Frequency Domain

IEEE Transactions on Intelligent Vehicles

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IEEE Transactions on Intelligent Vehicles 2024年 1-14页

作者： Liu, Moyun Chen, Bing Chen, Youping Xie, Jingming Yao, Lei Zhang, Yang Hu, Qin Du, Jiawei Zhou, Joey Tianyi School of Mechanical Science and Engineering Huazhong University of Science and Technology Wuhan China Department of Electrical and Electronic Engineering The Hong Kong Polytechnic University Hong Kong China School of Mechanical Engineering Hubei University of Technology Wuhan China School of Automation Wuhan University of Technology Wuhan China Singapore

The inherent sparsity of LiDAR data often leads to extremely sparse depth maps, which poses a challenge for the development of LiDAR-based egocentric vehicles, such as self-driving cars and mobile robots. To overcome this limitation, guided depth completion methods use calibrated camera images to create precise, dense depth predictions from sparse LiDAR data. However, the extreme reliance on camera image limits its generalization of guided depth completion, especially its robustness to weather and light. In this paper, we aim to utilize camera images only during training phase to improve unguided depth completion, and discard camera in the inference phase. We comprehensively analyze the pivotal role of camera images in the depth completion task and emphasize the significance of the frequency distribution within the local windows, quantitatively demonstrating its substantial contribution. Subsequently, we introduce cross-modality knowledge distillation to align LiDAR features with camera features in the frequency domain, yielding corresponding guidance features. We devise a guidance and selection module to mitigate unavoidable inaccuracies in knowledge distillation, while it can enhance depth features and adeptly selects more precise encoded values from both the guidance branch and the unguided input. To further refine the completion result, we propose a progressive depth completion module incorporating two sub-networks connected by an attention for refinement module. This module produces weighted features from the decoder of the first stage to enhance the features in the encoder of the second stage. We denominate our method as Better Unguided Network (BUNet) and evaluate its efficacy on the KITTI depth completion benchmark and NYUv2 dataset, demonstrating its superiority over methods that exclude camera images during the inference phase. IEEE

关键词： Cameras

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Design and Simulation of a 10 kW Bidirectional EV Fast Charger Based on V2G technology

Design and Simulation of a 10 kW Bidirectional EV Fast Charg...

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2024 IEEE Transportation Electrification Conference and Expo, Asia-Pacific, ITEC Asia-Pacific 2024

作者： Yang, Runze Yang, Fan The University Of Sheffield Department Of Electronic And Electrical Engineering Sheffield United Kingdom Harbin Institute Of Technology School Of Electrical Engineering And Automation Harbin China

ISBN: (纸本)9798331529277

This paper introduces the design and simulation of a bidirectional AC/DC and DC/DC charging station for electric vehicles based on V2G (Vehicle-to-Grid) technology. The model is implemented in Simulink and has the capability for both forward and reverse power flow, allowing energy transfer from the grid to the electric vehicle and vice versa. The charging station features a front-end bidirectional AC/DC single-phase PWM rectifier and a back-end bidirectional DC/DC converter, the latter employing a CLLC resonant converter with a resonant frequency of 150 kHz. The system is designed with a power rating of 10 kW, capable of converting an AC input of 220V to a DC output of 360V in forward mode and facilitating energy feedback to the grid in reverse mode. The article discusses the system architecture, control strategies, and simulation results to demonstrate the feasibility of the proposed design. © 2024 IEEE.

关键词： Vehicle-to-grid

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A Deep Learning-Based Automatic Data Acquisition system for Medical Monitors 14

A Deep Learning-Based Automatic Data Acquisition System for ...

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14th International Conference on Information Science and technology, ICIST 2024

作者： Zou, Yizhi Cao, Han Cheng, Xu Yang, Lu University of Electronic Science and Technology of China Department of Automation Engineering Chengdu China West China Hospital of Sichuan University Department of Anesthesiology Chengdu China

ISBN: (纸本)9798350353334

In the cardiac operating room, several operators are essential to assist the surgeon, including the physician managing and monitoring the artificial heart-lung machine. The custodian must interpret the patient's vital signs from equipment data and make decisions, such as blood transfusion. However, the equipment lacks automated data acquisition and recording capabilities, posing significant challenges for documenting surgical information. This paper introduces a system for screen segmentation and text recognition based on visual methods. This system allows the operating equipment doctor to wear a head-mounted camera to capture real-time video similar to the doctor's perspective, and pulls the video stream of the camera through RTSP (Real-Time Streaming Protocol) on the PC side. We proceed by processing the video stream captured by the camera, leveraging the YOLO (You Only Look Once) algorithm and OCR (Optical Character Recognition) technology as our primary tools to do screen segmentation and text recognition. These technologies enable us to extract the information displayed on the medical equipment screens. By initially employing YOLO for detecting and segmenting the screen of interest, the process is approximately 127% faster than direct OCR processing of the entire video frame. Additionally, the accuracy rate of OCR recognition for clear pictures can also reach more than 95% by our method. © 2024 IEEE.

关键词： Video streaming

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An Adaptive Droop Control Method for SOC Balancing in DC Microgrids with Photovoltaic and Energy Storage systems

An Adaptive Droop Control Method for SOC Balancing in DC Mic...

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2024 IEEE Transportation Electrification Conference and Expo, Asia-Pacific, ITEC Asia-Pacific 2024

ISBN: (纸本)9798331529277

This paper presents an innovative control method for balancing the state of charge (SOC) in a DC microgrid that integrates a photovoltaic (PV) system and an energy storage system (ESS). The method balances the SOC of the two battery storage units through adaptive sag control, which dynamically adjusts the sag coefficients based on the difference in SOC between the battery storage units. The PV system employs the Incremental Conductance (IncCond) Maximum Power Point Tracking (MPPT) technique to ensure optimal power output. The inner loop of the control system performs current regulation through Model Predictive Control (MPC), while the outer loop manages the bus voltage through sag control. Simulation results show that the system is effective in maintaining SOC balance under different load conditions. The scheme operates at a bus voltage of 400 V and successfully balances the SOC during charge/discharge cycles as the load is dynamically varied from 16 Ω to 8 Ω. In addition, the paper provides several key equations to illustrate the exact operation of the control mechanism. © 2024 IEEE.

关键词： Predictive control systems

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Design of 200N Magnetic Levitation Single-Sided Voice Coil Motor 7

Design of 200N Magnetic Levitation Single-Sided Voice Coil M...

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7th IEEE International Electrical and Energy Conference, CIEEC 2024

作者： Yang, Runze Zhang, He The University of Sheffield Department of Electronic and Eleclrical Engineering Sheffield United Kingdom School of Electrical Engineering and Automation Harbin Institute of Technology Harbin China

ISBN: (纸本)9798350359558

To address the smooth operation of cables in the high-precision lithography machine wafer stage, this paper introduces a specialized magnetic levitation single-sided voice coil motor designed to generate a continuous 200N lifting force in the vertical direction. Structural optimization of the motor's Halbach permanent magnet array is performed using JMAG to obtain a motor capable of producing the maximum levitation force within specified dimensions. Based on this motor, two final design solutions are proposed, with a focus on reducing the winding volume and the volume of the permanent magnet, respectively. The performance of the motors under both schemes is compared, and the changes in levitation force with a tilted rotor angle for both scenarios are analyzed. Conclusions are drawn based on the findings. © 2024 IEEE.

关键词： Magnetic levitation

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Calculation of Performance Parameters of Permanent Magnet Motor Based on Reluctance Network Analysis 4

Calculation of Performance Parameters of Permanent Magnet Mo...

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4th International Symposium on Electrical, electronics and Information engineering, ISEEIE 2024

作者： Liu, Yanyun Ou, Jing Liu, Yingzhen Chen, Jianglong Liang, Dawei Xu, Dianguo School of Electrical Engineering and Automation Harbin Institute of Technology Harbin China University of Sheffield Department of Electrical and Electronic Engineering Sheffield United Kingdom

ISBN: (纸本)9798350355772

In this paper, a method for calculating the performance parameters of a surface-mounted permanent-magnet synchronous motor (SPM) based on the equivalent reluctance network model of the motor is proposed, which can quickly and accurately calculate the flux linkage, torque, inductance, and loss parameters of the motor. First, the reluctance network analysis (RNA) method is derived based on the SPM geometry. In order to consider the nonlinear properties of the core, the permeability is treated as variable. The magnetic permeability of each region of the core is derived by an iterative method. Then, the magnetic flux in the motor is calculated by solving the RNA model, and the parameters such as magnetic flux linkage, torque and iron loss of the motor are calculated subsequently. The inductance parameters is calculated by combining the frozen permeability method. The eddy current losses in the magnet are calculated by the locally refined RNA model and permanent-magnet electric network model. The performance parameters of the motor calculated by the proposed model agree well with the ones obtained from the finite element analysis. © 2024 IEEE.

关键词： Permanent magnets

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Adaptive Sliding Mode Control for the Quadrotor with unknown Disturbance and Uncertain Parameters

Adaptive Sliding Mode Control for the Quadrotor with unknown...

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2023 International Conference on system Science and engineering, ICSSE 2023

作者： Chu, Long H. Nguyen, Nam H. Hanoi University of Science and Technology School of Electrical and Electronic Engineering Department of Automation Engineering Hanoi Viet Nam

ISBN: (纸本)9798350322941

With the convenience of maneuvering and taking off easily, quadrotors are becoming more and more popular in military as well as civilian applications recently. The quadrotor is an under-actuated system. Moreover, in the presence of the external disturbance and uncertainties, it's even more difficult to control. Therefore, the study of flight control algorithms for the quadrotor is absolutely necessary and that is also the main purpose of this study. First, the trajectory tracking problem without disturbance and uncertainties is solved by a backstepping controller (BSC). Then, an adaptive backstepping sliding mode controller (ABSMC) is investigated to solve the influence of external disturbance. Next, a controller was developed from the ABSMC controller to ensure that the tracking errors converge to zero while the coefficients of air resistance are unknown. In addition, all control algorithms are analyzed for stability. Finally, several simulations are performed to verify as well as compare with the studied control algorithms. © 2023 IEEE.

关键词： Controllers

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