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检索条件"任意字段=3rd International Conference on Robotics and Control Engineering, RobCE 2023"

共 3898 条记录，以下是771-780 订阅

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Battery State of Charge and Temperature Equalization Algorithm Based on Fuzzy control 3

Battery State of Charge and Temperature Equalization Algorit...

引用

3rd international conference on New Energy and Power engineering, ICNEPE 2023

作者： Zhou, Linggang Li, Jian Jiang, Lvxing Xu, Xu Zhao, Wenhao Cheng, Bin Liu, Yuan Su, Xingyang Zou, Guoping State Grid Taizhou Electric Power Supply Company Taizhou China Beijing Inshine Technology Beijing China China Jiliang University College of Mechanical and Electrical Engineering Hangzhou China

ISBN: (纸本)9798350393224

In the power system, a large number of lithium batteries are needed for grid-connected power supply. During use, inconsistencies may occur. In addition, excessive temperature during battery use may also cause thermal runaway of the battery. There is a need to balance the SOC (state of charge) of the battery cells and limit temperature rise. Based on the double-layer balancing topology of inductance devices, a fuzzy control balancing strategy is proposed with battery capacity as the balancing target and battery temperature as the limiting condition. This fuzzy control balance strategy takes battery capacity as the balance target and battery temperature as the limiting condition. Dynamically adjust the balancing current according to SOC deviation and temperature to achieve balance. The simulation results show that the time efficiency of this strategy is increased by approximately 11.41%, and the maximum battery temperature is reduced by 2.2°C, verifying the effectiveness of the algorithm. © 2023 IEEE.

关键词： Balanced topology Lithium battery balancing Multivariable fuzzy control

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IoT Based Traffic Light control System with Ambulance Designation 3

IoT Based Traffic Light Control System with Ambulance Design...

引用

3rd international conference on Advancement in Electronics and Communication engineering, AECE 2023

作者： Saida, Angotu Rahul, Chawhan. Meghana, Ch. Akanksha, G. Sathvika, A. Kg Reddy College of Engineering & Technology Dept. of Electronics and Communication Hyderabad India Kg Reddy College of Engineering and Technology Electronics and Communication Hyderabad India

ISBN: (纸本)9798350330724

The Increasing of traffic problems due to the traffic jams which delay in Ambulance reaching the hospital. Due to this Delay in the Ambulance its leads to loss Thousands of people lives in which it not being able to reach the hospital in time. To overcome this problem, we are implementing a technology. The ascent of Internet of Things came with a technology by implementing them in traffic lights to overcome the traffic issue. The project's is to clear the traffic by making traffic signal green to which the ambulance arrives. This system can be implemented throughout the cities and We can reduce the ambulance delay. We are implementing this system for critical health issues of the people who are facing sudden health issues like heart attack and pregnancy pains that required emergency vehicles to reach the hospital faster. Our project will help to save someone's live in their critical time aspects. The details of the design and development are present in this paper. © 2023 IEEE.

关键词： Traffic congestion

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Nonconforming finite element scheme for constrained optimal control problems governed by Maxwell’s equations 3

Nonconforming finite element scheme for constrained optimal ...

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3rd international conference on Applied Mathematics, Modelling, and Intelligent Computing, CAMMIC 2023

作者： Xiao, Yuhui Zhao, Jianping Hou, Yanren College of Mathematics and System Sciences Xinjiang University Urumqi830046 China School of Mathematics and Statistics Xi’an Jiaotong University Xi’an710049 China

ISBN: (数字)9781510667617

ISBN: (纸本)9781510667600

In this paper, we present and analyze the Nonconforming finite element method (NFEM) for constrained optimal control problems governed by Maxwell’s equations. Firstly, based on Maxwell’s equations, we propose the elliptic optimal control problem in H (curl) space, establish an optimal control system and give the regularity property of the optimal control model. Then, the state and co-state variables are discretized by NFEM, the control variable is approximated by piecewise constants element. The L2-norm for control and the semi-norm for state and co-state are derived. At last, numering results illustrating the theoretical findings. © 2023 SPIE.

关键词： Optimal control systems

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A Method for Marine Ship Formation Intention Recognition based on BiConvLSTM-Attention 3

A Method for Marine Ship Formation Intention Recognition bas...

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3rd international conference on Electronic Information engineering and Computer Science, EIECS 2023

作者： Xi, Yunqiao Zhang, Junping Liu, Jian Wang, Linlin Xu, Hongfeng Chen, Linxiu Jiang, Jixiang Harbin Institute of Technology School of Electronics and Information Engineering Harbin China Institute of Electrical and Mechanical Engineering Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing China

ISBN: (纸本)9798350316674

To solve the problem that current dynamic intention recognition methods fail to make full use of time domain variation information between multi-temporal group targets, which leads to low accuracy of intention recognition. This paper proposes a bidirectional convolutional long short term memory-attention network for marine formation target intention recognition. The network takes the multi-source trajectory data of the marine ship formation target as the input, extracts and uses the target change rule and time domain characteristics of the Marine formation data, and trains the model to have the ability to independently learn the weight of information in different time periods. The simulation results show that the method has good performance and can meet the needs of practical application. © 2023 IEEE.

关键词： intention recognition long short-term marinship formation temporal features

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Designing of an Autonomous System for Electric Vehicle 3

Designing of an Autonomous System for Electric Vehicle

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3rd international conference on robotics, Electrical and Signal Processing Techniques, ICREST 2023

作者： Mridul, Towfiq Mahmud Sagor, Abidur Rahman Mridha, Faisal Ahmad Bhuiyan, Md. Mosaraf Hosen Hasan, Md. Jahid Rahman, Md. Abdur American International University-Bangladesh Department of Electrical and Electronics Engineering Dhaka Bangladesh Independent University Bangladesh Department of Computer Science and Engineering Dhaka Bangladesh American International University-Bangladesh Faculty of Engineering Dhaka Bangladesh

ISBN: (纸本)9798350346435

The creation of an autonomous vehicle has two major goals: to minimize the amount of labor that must be performed manually and to provide the automobile with superior intelligence. In order to turn a standard automobile into an autonomous vehicle that can drive itself around a predetermined map (in this case, a university campus), several modifications need to be made. The outcomes of this project will also contribute to the creation of a more technologically advanced campus atmosphere. Additional responsibilities include taking control of the horn system and being in charge of the headlights while also receiving the response signal from the station. In order to guarantee that everything functions correctly, we utilized components such as the Raspberry Pi, light sensors, motors, Arduino Uno, ultrasonic sensors, buzzers, and cameras. A temporary model is built to ensure that this project is successful right from the start. The training model trains the deep learning approach using images captured by a camera in manual mode, which enables the vehicle to operate in autonomous mode using the multilayered neural network that was taught. The final prototype utilizes image processing methods to track lanes. A few image processing technologies, such as intelligent edge detection, provide autonomous movement capabilities. These algorithms were built and tested on the vehicle. The system operated without a hitch, and the data gathered was within reasonable bounds of expectations. As well as demonstrating how the autonomous system of an electric car works. © 2023 IEEE.

关键词： Cameras

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Emergency Automatic Dispatching Method for EHV Transmission Network Based on a Rule Base and Wolf Swarm Algorithm 3

Emergency Automatic Dispatching Method for EHV Transmission ...

引用

3rd international conference on Energy, Power and Electrical engineering, EPEE 2023

作者： Zhu, Dunlin Chen, Binbin Chen, Xinling Ning, Yangtian Yang, Sheng Li, Guangming Guangxi Power Grid Dispatching Control Center Guangxi Nanning530023 China

ISBN: (纸本)9798350318180

Aiming at the problem of unstable load rate in the emergency dispatching process of the EHV transmission network, an automatic emergency dispatching method for the EHV transmission network based on a rule base and wolf swarm algorithm is proposed. Considering the principles that the emergency dispatching of the EHV transmission network should meet, the objective function and constraint conditions are established under this principle, the applicable rules of the rule base and wolf swarm algorithm are designed, the dispatching model is constructed and solved, and the automatic emergency dispatching of EHV transmission network is realized. The experiment shows that the uniform emergency dispatch of the EHV transmission network can be realized by using the designed method, and the load rate distribution is relatively stable, which has a good practical application effect. © 2023 IEEE.

关键词： Emergency dispatching Rule base Ultra-high voltage transmission network Wolf swarm algorithm

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A New Active Negative Stiffness control Strategy for Improving Low-Frequency Vibration Isolation Performance 3

A New Active Negative Stiffness Control Strategy for Improvi...

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3rd international conference on Electrical engineering and control Science, IC2ECS 2023

作者： Zhang, Zhengguang Yuan, Zhongxiang Li, Xiaoqing Huazhong University of Science and Technology State Key Laboratory of Intelligent Manufacturing Equipment and Technology Wuhan China

ISBN: (纸本)9798350382426

In this study, a new active negative stiffness (ANS) control strategy is proposed to improve the low-frequency vibration isolation performance of a vibration isolation system. The proposed strategy combines ANS with sky-hook (SH) control. ANS is used to effectively reduce the stiffness of the system, thus lowering the natural frequency. SH control is used to improve the stability margin of the ANS loop. The proposed strategy is validated experimentally. The results show that the ANS+SH strategy can effectively reduce the vibration transmissibility at low frequency. Compared to using SH alone, the vibration transmissibility at the natural frequency is reduced from -1.4SdB to -10.83dB, with a significant improvement in low-frequency vibration control performance. The proposed strategy is a promising approach for improving the low-frequency vibration isolation performance of vibration isolation systems. © 2023 IEEE.

关键词： Active negative stiffness Sky-hook damping Vibration isolation

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A Parameter Identification Method for Robust Model Predictive control of Virtual Synchronous Generator Based on Two Sliding Mode Observers 3

A Parameter Identification Method for Robust Model Predictiv...

引用

3rd international conference on Intelligent Power and Systems, ICIPS 2023

作者： Li, Chengshuai Liu, Zhenkun Liu, Hui Henan Jiuyu EPRI Electric Power Technology Co. Ltd. Zhengzhou China College of Electrical and Information Engineering Zhengzhou University of Light Industry Zhengzhou China

ISBN: (纸本)9798350328691

The conventional model predictive control (MPC) method for virtual synchronous generator (VSG) is sensitive to the parameter uncertain changes, resulting in poor voltage control performance. To solve this problem, in this paper, a parameter identification method for robust MPC of VSG based on two sliding mode observers is proposed. In this paper, the theories of the VSG as well as the MPC are first reviewed. Next, based on the mathematical model of the inverter with a LC filter, a current sliding mode observer and a voltage sliding mode observer are designed. Then, by analyzing the parameter sensitivity of the proposed current and voltage sliding mode observer to the filter capacitance and inductance, a capacitance as well as an inductance closed-loop identification method are designed using proportional-integral controller. Eventually, dynamic state experimental studies are con-ducted, which verify the effectiveness of proposed parameter identification method and the parameter identification-based robust MPC method for VSG. ©2023 IEEE.

关键词： Model predictive control

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control of DIBBFC for PV and PMSG Based DC-DC Distributed Generation System 3

Control of DIBBFC for PV and PMSG Based DC-DC Distributed Ge...

引用

3rd IEEE international conference on Sustainable Energy and Future Electric Transportation, SeFet 2023

作者： Sen, Dibyendu Saha, Tapas Kumar Dey, Jayati NIT-Durgapur Department of Electrical Engineering Durgapur India

ISBN: (纸本)9798350319972

A unique converter, a double input buck buck-boost converter (DIBBFC), is considered to develop a DC distributed system with PV as its primary power source. The PV is incorporated in this distributed system at the low input end of DIBBFC. DC source generated using the uncontrolled PMSG is given to the other input terminal of the DIBBFC. Regardless of the changes made to the input or output side of the DIBBFC, the PV always functions at MPPT. After obtaining the peak available power of the PV, the high-voltage DC source, provides the remaining power to meet the requirement at the load end. In this work, three scenarios are presented. These are 1. Change in input torque at PMSG, 2. Change in solar irradiance, and 3. Change in load demand. © 2023 IEEE.

关键词： Buck-Boost converter

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Neural Network-Based control Parameter Identification Method for DFIG 3

Neural Network-Based Control Parameter Identification Method...

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3rd international conference on Electrical engineering and control Science, IC2ECS 2023

作者： Chen, Shibin Yang, Yuting Wang, Hao Sun, Hao Shi, Wanwei Lanzhou Longneng Electric Power Science & Technology Ltd Ltd Lanzhou China

ISBN: (纸本)9798350382426

In response to the challenge of obtaining high-precision control parameters for doubly-fed wind turbine electromagnetic models under transient conditions, a method for high-precision identification of control parameters for doubly-fed wind turbines based on Long Short-Term Memory (LSTM) neural networks is proposed. Firstly, the hardware-in-the-loop (HIL) data of the doubly-fed wind turbine controller is measured and obtained using the RT -LAB semi-physical simulation platform, and an identification model of the doubly-fed wind turbine model is constructed in Matlab/Simulink. Then, the Pearson correlation coefficient method is used to extract highly correlated features and train the neural network. Finally, the proposed LSTM neural network is used to identify the control parameters of the doubly-fed wind turbine and compared with the measured data, validating the feasibility, effectiveness, and practicality of the proposed method. The results indicate that, compared to traditional identification methods, the proposed LSTM neural network parameter identification method can effectively improve the identification accuracy of the control parameters of the doubly-fed wind turbine electromagnetic model under transient conditions. © 2023 IEEE.

关键词： Double-fed induction generator Hard-in-loop Long and short term memory network Parameter identification Person correlation coefficient method

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