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10th IEEE International Power Electronics and Motion control Conference, IPEMC 2024 ECCE Asia

作者： Kang, Sung-Ho Lee, Hyun-Jun Woo, Tae-Gyeom You, Chang-Seok Lim, Sang-Hak Yoon, Young-Doo Hanyang University Department of Automotive Engineering Automotive-Computer Convergence Korea Republic of Hanyang University Department of Automotive Engineering Korea Republic of Hyundai Motor Company Fuel Cell System Control Development Team1 Korea Republic of

ISBN: (纸本)9798350351330

This paper discusses the implementation of time delays in ultra-high-speed applications. Sensorless controls are used to estimate the rotor speed and angle. In model-based sensorless control, the voltage and current signals are used for angle estimation as an input of the observer. And there is a time delay when calculating these signals. Especially in the high-speed operating range, these time delays degrade in sensorless control performance. This paper proposes a method to compensate for these time delays, improving accurate angle estimation. The proposed time delay implementation method has been validated through simulations and experiments using a surface-mounted permanent magnet(SPM) motor for high-speed air compressor of fuel-cell systems. © 2024 IEEE.

关键词： Time delay

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Torque Ripple Effects According to Hysteresis Motor Closed-Slot Structures Geometry with Finite Element Analysis

Torque Ripple Effects According to Hysteresis Motor Closed-S...

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International Conference on Electrical Machines and systems (ICEMS)

作者： Jong-Hoon Park Ji-Hoon Han Seung-Min Song Sun-Ki Hong Department of Information Control Engineering Hoseo University Asan Korea Department of System and Control Engineering Hoseo University Asan Korea

ISBN: (数字)9784886864406

ISBN: (纸本)9798350379105

FEA (Finite Element Analysis) of conventional hysteresis motors has been difficult due to the specificity of the rotor. Equivalent circuit-based analysis is common, and it is difficult to expect the torque ripple due to the slot structure. However, recent advances in FEM (Finite Element Method) technology have made it possible to consider the nonlinear characteristics of the rotor. By utilizing this, the torque ripple and torque depending on the stator bridge angle, which affects the torque ripple of the motor, were compared. This is expected to enable geometry optimization of hysteresis motors, which is difficult with conventional methods.

关键词： Geometry Torque Shape Rotors Hysteresis motors Stators Finite element analysis Torque measurement Optimization Equivalent circuits

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Electromagnetic Field Analysis Using Physics Informed Neural Network Considering Eddy Current

Electromagnetic Field Analysis Using Physics Informed Neural...

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IEEE Conference on Electromagnetic Field Computation

作者： Ji-Hoon Han Jong-Hoon Park Seung-Min Song Sun-Ki Hong Department of information control engineering Hoseo University Asan Korea Department of system and control engineering Hoseo University Asan Korea

ISBN: (数字)9798350348958

ISBN: (纸本)9798350348965

The exploration of PINN (Physics Informed Neural Network) in research is still in its nascent stages globally, with a notable dearth of studies focusing on electromagnetic field analysis. In response to this gap, this paper introduces a novel approach for eddy current analysis employing a transfer learning-based discrete differentiation method within the framework of a PINN. While discrete differentiation methods offer the advantage of low model complexity and rapid analysis, they encounter challenges in eddy current analysis due to the need for learning at each time step. This paper addresses these challenges through the application of transfer learning techniques. Our findings demonstrate that the proposed method significantly reduces the total analysis time in time-dependent scenarios compared to traditional Finite Element Method (FEM) approaches.

关键词： Analytical models Computational modeling Transfer learning Neural networks Focusing Mathematical models Finite element analysis

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Towards Efficient Path Finding and Moving Stability-Focused Trajectory Planning for Mobile Robots

Towards Efficient Path Finding and Moving Stability-Focused ...

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2024 IEEE International Conference on Robotics and Biomimetics, ROBIO 2024

作者： Hou, Muyang Lei, Zhenya Hu, Haidong Wang, Zhong Wang, Yong Xie, Le Wang, Hesheng Shanghai Jiao Tong University Department of Automation Shanghai200240 China School of Information and Control Engineering China University of Mining and Technology Xuzhou221116 China Beijing Institute of Control Engineering Beijing100190 China Institute of Medical Robotics Shanghai Jiao Tong University Shanghai200240 China Shanghai Engineering Research Center of Intelligent Control and Management Shanghai Jiao Tong University Key Laboratory of System Control and Information Processing of Ministry of Education Key Laboratory of Marine Intelligent Equipment and System of Ministry of Education Department of Automation Shanghai200240 China

ISBN: (纸本)9781665481090

Nowadays, mobile robots play an important role in a variety of service scenarios. They need to plan and track trajectories to accomplish tasks such as delivery or guided tours. In such tasks, there are two remaining challenges: on one hand, the time and memory consumption of present path planners are still significant;on the other hand, service robots, which have a higher center of gravity, demand greater moving stability than that of current trajectory planners provide. To address these two challenges. Firstly, we propose a safety boundary first A∗ which fully utilizes environmental obstacle information to create a safety boundary and searches in it to quickly find an initial path. Secondly, we formulate the trajectory optimization problem as a nonlinear optimization problem, where the smoothness, safety, feasibility, and moving stability of the robot are taken into account. Furthermore, to constrain the robot's lateral acceleration, we design a time allocation algorithm based on non-uniform B-spline, enhancing the quality of the resulting trajectory. Simulations and real-world experiments demonstrate that our algorithms significantly improve path search efficiency, enhance moving stability, reduce the difficulty of tracking, and improve the quality of task completion. © 2024 IEEE.

关键词： Trajectories

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Geometric Methods for Assessing the Value and Demands of Energy Storage in Power system Operation

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Energy Internet 2025年第1期2卷 86-103页

作者： Qi Lv Boshen Zheng Shengwei Mei Wei Wei Department of Electrical Engineering State Key Laboratory of Power System Operation and Control Tsinghua University Beijing China

Driven by the desire of a low-carbon society, the penetration level of renewable generation in the power grid of China will still grow fast in the near future. As the synchronised generators whose output is controllable are gradually replaced by volatile energy resources, energy storage is expected to play a vital role in regulation services and flexibility provision. Because the capital cost of energy storage is still relatively high, it is important to assess the value or demand of energy storage before making an investment decision. This paper presents two representative mathematical tools to achieve this target in a geometric fashion. The first one is the multi-parametric programming method. It depicts the reduced cost by deploying energy storage through post-optimal value function, which is easy to visualise or can be embedded in high-level optimisation problems such as storage sizing. The second one is a polyhedral projection method. It represents all feasible power-energy capacity pairs of a storage unit to achieve a certain target. The above methods remove the need of repeatedly solving a large number of problems with varying capacity parameters. Simple examples are given for illustration, and the presented methods can also directly handle problems with complex models and constraints.

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Comparison of Hysteresis Motor Output According to Applied Voltage

Comparison of Hysteresis Motor Output According to Applied V...

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International Conference on Electrical Machines and systems (ICEMS)

作者： Seung-Min Song Ji-Hoon Han Eui-Jin Choi Jong-Hoon Park Sun-Ki Hong Department of Information Control Engineering Hoseo University Asan Korea Department of System and Control Engineering Hoseo University Asan Korea

ISBN: (数字)9784886864406

ISBN: (纸本)9798350379105

In general, to improve the output performance of motors, multi-level inverter that can create a waveform close to a sinusoidal wave by applying a voltage with a waveform that has minimal harmonic components are proposed. However, existing studies have shown that the input-to-output efficiency of hysteresis motor is higher when applying a square wave with relatively more harmonic components than when applying a sinusoidal wave. This paper compared the efficiency of the existing experiments by obtaining the output when applying sinusoidal and square waves with the same RMS value through finite element analysis (FEA). In addition, the efficiency is compared when the number of levels of the multi-level inverter is adjusted to compare the efficiency according to the harmonic components, and finally, the highest efficiency is confirmed when the square wave is applied.

关键词： Simulation Hysteresis motors Voltage Multilevel inverters Harmonic analysis Finite element analysis

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A Study of Motor Fault Condition Classification Using an Unsupervised Learning-Based Ensemble Model

A Study of Motor Fault Condition Classification Using an Uns...

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International Conference on Electrical Machines and systems (ICEMS)

作者： Eui-Jin Choi Seung-Min Song Ji-Hoon Han Sun-Ki Hong Department of Information Control Engineering Hoseo University Asan Korea Department of System and Control Engineering Hoseo University Asan Korea

ISBN: (数字)9784886864406

ISBN: (纸本)9798350379105

In motor fault diagnosis, auto-encoder based methods are effective in detecting abnormal patterns by utilizing only normal data. However, this approach has limitations in classifying various fault types, as it is primarily trained with normal data. To solve this problem, a voting technique using an ensemble model based on an auto-encoder is proposed in this study. The proposed method combines several auto-encoder models to synthesize the prediction results of each model, showing higher performance in fault type classification than traditional single model approaches. This method has the advantage of more clearly distinguishing the boundaries between failure types and maintaining stable performance even in various failure scenarios. The experimental results confirm that the proposed method can classify various types of faults with high accuracy, even though it was trained only on normal data.

关键词： Fault diagnosis Accuracy Gears Predictive models Motors Data models Unsupervised learning

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Evaluation of Feasibility for Optimal Motor Design Using Deep Q-Network

Evaluation of Feasibility for Optimal Motor Design Using Dee...

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International Conference on Electrical Machines and systems (ICEMS)

作者： Ji-Hoon Ran Eui-Jin Choi Jong-Hoon Park Sun-Ki Hong Department of System and Control Engineering Hoseo University Asan Korea Department of Information Control Engineering Hoseo University Asan Korea

ISBN: (数字)9784886864406

ISBN: (纸本)9798350379105

The use of the reinforcement learning algorithm DQN(Deep Q-Network) can increase the design variables and offers the advantage of enabling more versatile motor optimization design. This paper evaluates the potential and advantages of reinforcement learning-based motor optimization design, which is still in its early stages globally. To demonstrate the performance of the proposed method, the geometry and drive conditions for reducing torque ripple of a FWSM(Field-Wound Synchronous Motor) using DQN were optimized. The proposed method exhibited excellent optimization performance, and it is expected that a more versatile optimization model can be developed by increasing the number of analysis cases.

关键词： Geometry Optimization models Reinforcement learning Motors Synchronous motors Minimization Linear programming Torque measurement Optimization Genetic algorithms

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Multi-physics Based Temperature Distribution Simulation of HVAC Submarine Cable at Various Velocity 4th

Multi-physics Based Temperature Distribution Simulation of H...

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4th International Symposium on Insulation and Discharge Computation for Power Equipment, IDCOMPU 2023

作者： Zhang, Zhen Zhou, Yuanxiang Chen, Jianning Li, Yuhang Dai, Yasong The Wind Solar Storage Division of State Key Laboratory of Power System and Generation Equipment School of Electrical Engineering Xinjiang University Urumqi830047 China State Key Laboratory of Control and Simulation of Power System and Generation Equipment Department of Electrical Engineering Tsinghua University Beijing100084 China

ISBN: (纸本)9789819974009

The temperature distribution of submarine cables is an important parameter reflecting its operation status. The acquisition of temperature distribution trends for submarine cables under varying seawater flow rates holds important engineering significance. In this paper, the geometric model is constructed using a 220 kV three-core AC armored submarine cable laid on the seabed. The simulation model of AC three-core submarine cable temperature field is proposed based on the coupling of electro-thermal-flow multi-physics field. Finally, the study investigates how the steady-state temperature distribution of submarine cables varies with different seawater flow velocities. The results show that the temperature is radially distributed at the seawater velocity of 0m/s, and the temperatures of different phase conductors are different by the relative position, which are 89.9 °C, 89.6 °C and 89.08 °C, respectively. As the seawater flow velocity increases, the heat taken away from the cable surface by convection increases. When the seawater flow velocity is 1 × 10−6m/s, 0.0001 m/s, 0.001 m/s, 0.001 m/s and 0.001 m/s, the maximum conductor temperatures are 69.5 °C, 44.6 °C, 38.5 °C, 33.6 °C and 32.7 °C, and the ampacity is 871.7 A, 1216 A, 1382.8 A, 1590.7 A and 1640.9 A, respectively. The simulation results can provide reference for submarine cable transmission engineering design. © 2024, Beijing Paike Culture Commu. Co., Ltd.

关键词： Temperature distribution

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A Fish Feeding Robot Prototype with a Water Level control system Using a Proportional - Integral controller 8

A Fish Feeding Robot Prototype with a Water Level Control Sy...

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2022 8th International Conference on Electrical engineering, control and Robotics, EECR 2022

作者： Muhammad, Abdul Kadir Dermawan Center for Mechatronics and Control System Mechanical Engineering Department State Polytechnic of Ujung Pandang Indonesia

The purpose of this study is to develop a fish feeding robot prototype that equipped with a water level control system for pond use and to propose an effective control scheme for the robot prototype and the water level control system. The system used in this paper consists of a feed storage tank, a feed distribution mechanism, a feed ejection mechanism, an ejector position turning mechanism, a water level control system, a base and a solar panel system for energy sources. The three mechanisms used three DC motors as actuator, respectively. The water level control system used a water pump to pump water out of pond when the level of water exceeds the maximum level limit, and an ultrasonic sensor to measure the level of water in pond. On - Off and proportional - integral (PI) controllers used to control DC motors of the three mechanisms, and the water level control system, respectively. Performances of the robot prototype with the water level control system were examined through laboratory scale experiments. The result of the conducted experiments are presented and discussed. © Published under licence by IOP Publishing Ltd.

关键词： DC motors

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