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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911-920 订阅

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Artificial Neural Network-Based Sliding Mode Position Tracking control for Maglev System 3

Artificial Neural Network-Based Sliding Mode Position Tracki...

引用

3rd IEEE international conference on Smart Technologies for Power, Energy and control, STPEC 2023

作者： Kumar, Brajesh Swain, Subrat Kumar Mishra, Sudhansu Kumar Singh, Yatendra Kumar Indian Institute of Technology Dept. of Electrical Engineering Patna801103 India Birla Institute of Technology Dept. of Electrical and Electronics Engineering Ranchi835215 India

ISBN: (纸本)9798350304732

The magnetic levitation (maglev) system faces challenges from uncertainties in model parameters and unknown external disturbances, particularly during levitation in unfavourable environmental conditions. In this paper, a radial basis function-based higher-order sliding mode (RBF-HOSM) controller is discussed to improve the performance of a highly nonlinear and unstable maglev system. The conventional sliding mode control (SMC) exhibits undesired high-frequency oscillations leading to the phenomena called chattering. The design of the SMC also needs perfect information on the model parameters. However, on many occasions, the model parameter's uncertainties are not known. To address the issue of parameter uncertainties, a RBF-based HOSM controller is employed for the position control of the maglev ball. To validate the proposed controller, a simulation is carried out on a given reference position trajectory with and without disturbances. Finally, the simulation results are compared with the convention integer-order proportional-integral-derivative (IOPID) and HOSM control approaches. The proposed controller shows effectiveness in position tracking along with disturbance rejection capability. © 2023 IEEE.

关键词： higher order sliding mode (HOSM) control Lyapunov stability Magnetic levitation system (MLS) radial basis function (RBF) neural network

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Performance Analysis and control of Bi-Directional Converter-Inverter Interfaced Battery System for Electric Transportation 3

Performance Analysis and Control of Bi-Directional Converter...

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

作者： Roy, Arjun Dutta, Chandrima Chiranjeev Samanta, Soumya Tezpur University Department of Electrical Engineering Assam Tezpur India

ISBN: (纸本)9798350319972

In this paper, an electric transportation system is considered where battery energy is charged from grid (for charging) or drive the AC motor load (discharging) through a bi-directional DC DC converter and Inverter. The Bi-directional DC- DC converter is controlled using PI based dual loop control technique. The single phase inverter is controlled using the proposed vector control technique. In the analysis of DC-DC converter control, it is found that the converter gain or the maximum stable voltage varies with the variation of the load resistance. This changes the conventional fixed gain method. This setup will be compatible for lower cost electric vehicles, preferably operating an induction motor or any other motor which can operate on a single phase AC supply. The complete model along with the proposed control technique is simulated using MATLAB/Simulink. The obtained results are satisfactory and as per the expectation i.e. charging and discharging. © 2023 IEEE.

关键词： DC-DC converters

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High Performance Speed control For Three-Phase Switched-Capacitor Multilevel Inverter Fed Induction Motor Drive 3

High Performance Speed Control For Three-Phase Switched-Capa...

引用

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

作者： Dalai, Sumant Kumar Prince, Satyavarta Kumar Panda, Kaibalya Prasad Panda, Gayadhar Nit Meghalaya Dept.of Electrical Engineering Shillong India Pandit Deendayal Energy University Dept.of Electrical Engineering Gujarat Gandhinagar India

ISBN: (纸本)9798350319972

This paper investigates the speed control of a three phase switched-capacitor multilevel inverter (TSCMLI)-fed induction motor (IM) drive in order to enhance its performance. A multilevel inverter generates stepped sinusoidal waveforms of lower harmonics with increasing levels. The TSCMLI of 7- level line voltages synthesized using phase-disposition pulse width modulation (PD-PWM). The multi-level inverter output with the least THD is fed to the induction motor, and its speed is regulated by controlling the slip speed and maintaining constant V/f. A PI controller is implemented to ensure that the motor speed remains at its reference level. The performance of the closed loop scheme is evaluated with various reference speeds, dynamic load, and speed disturbances. Comparative evaluation of the performance characteristics and system efficiency of a closed loop TSCMLI and v/f fed induction motor drive is presented. Finally, the validity of the results is confirmed using MATLAB/SIMULINK as an effective simulation tool. © 2023 IEEE.

关键词： Induction motors

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Fault Tolerant High-Frequency Multilevel Inverter for Wireless EV Charging 3

Fault Tolerant High-Frequency Multilevel Inverter for Wirele...

引用

3rd IEEE international conference on Smart Technologies for Power, Energy and control, STPEC 2023

作者： Mehta, Pavan Sahoo, Subhanarayan Bharadwaj, Pallavi Gandhinagar India Ganpat University Electrical Engineering Department Mehsana India

ISBN: (纸本)9798350304732

The adoption of electric vehicle and hybrid vehicle has become possible by remarkable growth in charging infrastructure. This growth can be expanded further by adopting wireless charging of electric vehicle. This challenging task can be fulfilled by efficient and reliable power electronic conversion. This paper presents a fault tolerant control of a high frequency five level cascaded H-bridge multilevel inverter which can be used instead of conventional two-level inverter for wireless EV charging. The structure of wireless charging infrastructure and series-series compensation topology is analyzed. The fault diagnosis in five level cascaded H-bridge multilevel inverter is achieved by analyzing the switching state & total harmonic distortion of output phase voltage, and normalized output voltage. The redundant switching cell post fault control strategy is explained which ensures the healthy charging of an electric vehicle battery. This makes the entire system fault tolerant. The proposed fault tolerant technique is validated with quantify performance. © 2023 IEEE.

关键词： Electric vehicle Fault tolerant control Multilevel Inverter Wireless charging

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Identity-Based Access control in IoT: Enhancing Security through Mutual Cryptographic Authentication and Context Awareness 3

Identity-Based Access Control in IoT: Enhancing Security thr...

引用

3rd IEEE international conference on Mobile Networks and Wireless Communications, ICMNWC 2023

作者： More, Priyanka Sakhare, Sachin Mahalle, Parikshit Smt. Kashibai Navale College of Engineering Department of Computer Engineering Vishwakarma Institute of Information Technology Pune India Vishwakarma Institute of Information Technology Department of Computer Engineering Pune India Vishwakarma Institute of Information Technology Department of Artificial Intelligence and Data Science Pune India

ISBN: (纸本)9798350317022

The proposed methodology strengthens security and privacy in IoT networks through mutual cryptographic authentication, employing Elliptic Curve Cryptography, Diffe Hellman for key exchange, and encryption methods for robust identity verification. Context awareness, considering factors like device type, communication type, successful transfers, and device behaviour, enhances access control decisions dynamically. This approach bolsters network security, defending against unauthorized access and potential threats. Identity-based access control streamlines access rights management, dynamically setting permissions for scalable network expansion. Combining cryptographic authentication and context sensitivity, this methodology emerges as a potent tool for securing IoT networks, ensuring data integrity, and preserving user privacy. Its versatility makes it applicable across diverse loT scenarios, offering a flexible and scalable access control solution. Overall, devices get authenticated with each other through identity based on clusters formed by context parameters and access rights are set to the cluster head. The cluster head is dynamically updated from time to time considering the context parameters. © 2023 IEEE.

关键词： context clustering decryption Elliptic Curve Cryptography encryption identity-based access control

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Research on Problems and Solutions of 3D Design for Overhead Transmission Lines 3

Research on Problems and Solutions of 3D Design for Overhead...

引用

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

作者： Zhang, Nan Dai, Ya Zhang, Xiaofeng Xu, Weizhou Ye, Chao State Grid Jiangsu Electric Power Co. Ltd. Economic Research Institute State Grid Jiangsu Electric Power Design Consulting Co. Ltd Jiangsu China

ISBN: (纸本)9798350382426

Overhead transmission lines (OTL) is an important part of power system, its design quality and safety have an important impact on the operation of the whole power system. In recent years, with the continuous growth of power demand and the continuous development of power technology, the design of OTL is facing more challenges. This paper mainly discusses some problems existing in the 3D-OTL design, and puts forward some solutions, including improving design accuracy, establishing unified standards, combining actual construction, promoting the use of advanced design software, strengthening communication and coordination with actual construction, and improving the accuracy and quality of 3D-OTL. The main problems include insufficient design accuracy, lack of unified standards, and disconnection from actual construction. Therefore, it is important to promot advanced construction and equipment to improve efficiency and quality. In order to improve efficiency and standardization of OTL design, a standardized design process and template should be established to make the design more standardized and systematic. © 2023 IEEE.

关键词： 3D design overhead transmission transmission lines

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An intelligent anti detachment detection method for hip joint assisted exoskeleton robot 24

An intelligent anti detachment detection method for hip join...

引用

3rd international Symposium on control engineering and robotics, ISCER 2024

作者： Ning, Yeyan Xu, Jinxin Luo, Jinlong Liu, Jianwen Robot Center The 21st Research Institute of China Electronics Technology Group Corporation Shanghai60088063 China

ISBN: (纸本)9798400709951

The rapid development of cutting-edge technology continuously enhances the modernization level of intelligent equipment. Traditional exoskeleton robots often use fixed gait recognition for assistance, but their adaptability is limited, and it is easy to cause injury to the wearer when the binding falls off. This article first analyzes the overall structure of hip joint exoskeleton robots, and comprehensively obtains a feasible plan for anti detachment detection;Secondly, starting from analyzing the physiological structure of the human body and the mechanism of gait movement, based on joint degrees of freedom and motion orientation, the exoskeleton driving method is determined, and the torque changes of assistance under different gait are obtained as a reference for setting angle thresholds;Finally, an intelligent anti detachment detection algorithm for hip joint assisted exoskeleton robots is proposed, which uses key information such as angle threshold, step frequency size, and step frequency rate to make judgments. Adaptive recognition and learning memory recognition are integrated, and the effectiveness of the anti detachment detection algorithm is verified by reading the torque and current changes of the hip joint in the state of detachment. © 2024 ACM.

关键词： Exoskeleton (robotics)

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Continuous Glucose Monitoring: A Non-Invasive Approach for Improved Daily Healthcare 3

Continuous Glucose Monitoring: A Non-Invasive Approach for I...

引用

3rd international conference on Electronic and Electrical engineering and Intelligent System, ICE3IS 2023

作者： Putra, Karisma Trinanda Surahmat, Indar Nazilah Chamim, Anna Nur Ramadhan, Muhammad Zhafran Wicaksana, Darma Dhea Namyra Alissa, Raden Ajeng Center of Artificial Intelligence and Robotics Studies Universitas Muhammadiyah Yogyakarta Department of Electrical Engineering Bantul Indonesia Universitas Muhammadiyah Yogyakarta Department of Electrical Engineering Bantul Indonesia

ISBN: (纸本)9798350327762

Diabetes mellitus is a prevalent health condition affecting approximately one in eight individuals worldwide. Insufficient management of this disease can lead to various medical complications, including vision loss and limb amputation. Continuous glucose monitoring (CGM) is crucial for effective diabetes management. However, current one-time glucose monitoring methods still rely on invasive techniques, causing pain and lacking continuous monitoring capability. This study aims to develop a non-invasive technology for measuring blood glucose levels that can be conveniently monitored through a smartphone using wireless communication. The device utilizes an ESP32 microprocessor and a PPG MAX 30102 sensor capable of recording pulse waves, a biomarker, at the fingertips. In this preliminary study, non-invasive data from 22 participants were used and divided into three classes according to conventional invasive measurements. Artificial intelligence (AI) methods, specifically Convolutional Neural Networks (CNN) and Artificial Neural Networks (ANN) models, were utilized to achieve convergence between the conventional invasive measurements and the proposed approach. The trained model demonstrated the highest accuracy of 0.944, with a minimum model loss of 0.177. In the validation phase, the proposed approach proved its reliability by achieving an average accuracy of 0.750. The non-invasive approach has the potential to provide a convenient and pain-free alternative to traditional monitoring methods, significantly enhancing diabetes management and improving the overall quality of life for those affected by this condition. © 2023 IEEE.

关键词： Glucose

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2023 3rd international conference on Mechatronics Technology and Aerospace engineering, ICMTAE 2023

2023 3rd International Conference on Mechatronics Technology...

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2023 3rd international conference on Mechatronics Technology and Aerospace engineering, ICMTAE 2023

The proceedings contain 62 papers. The topics discussed include: design of power tower climbing robot;safety design of uncontained engine rotor failure for civil aircraft primary flight control system;multi-objective optimization for the base lattice structure of a small space sampling return capsule;stability analysis of satellite navigation and positioning reference stations considering linear motion;aerodynamic analysis of sideslip angle sensor layout design on civil aircraft;structural optimization of horizontal stabilizer tailing edge hinge rib;intelligent robotic electromagnetic riveting interference connection technology for aircraft assembly;study of zero gravity unloading effect of mechanical steerable satellite antenna;the design and mechanical study of the pipe joint structure in a high-pressure hydraulic system;design of power supply for distributed aero-engine intelligent control system;integrated design of sun-synchronous orbit and launch vehicle trajectory for operationally responsive space;and modal identification of aircraft time-varying structure based on fiber grating measurement.

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Attention Based Graph Neural Networks 3

Attention Based Graph Neural Networks

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3rd IEEE international conference on Software engineering and Artificial Intelligence, SEAI 2023

作者： Khalil, Ibrahim Abbas, Muhammad Affan Nanjing University of Science and Technology Computer Science and Engineering Nanjing China Tianjin University Control Science and Engineering Tianjin China

ISBN: (纸本)9798350337952

The performance of graph neural networks (GNNs) in a variety of graph-related tasks, such as node categorization, has been remarkably good. Existing GNN models, especially when working with big and sparse graphs, are constrained in how well they can capture complicated graph topologies. In order to overcome this issue, we incorporate an attention mechanism into the GNN design in this study. During the message-passing phase, our proposed model, Attention-Based Graph Neural Networks (AB-GNN), uses a learned attention mechanism to differentially weight the significance of surrounding nodes. Using numerous benchmark datasets for node classification, we test the performance of the AB-GNN and demonstrate that it outperforms current state-of-the-art GNN models. Our tests specifically show that AB-GNN improves accuracy by up to 1% in comparison to the top baseline model. According to our findings, the attention mechanism enhances the model's capacity to detect critical aspects in the graph, resulting in more precise node classification on Cora and CiteSeer datasets in our case. Comprehensively, our work demonstrates the potential of attention mechanisms to enhance the functionality of GNN models and offers directions for further study in this field. © 2023 IEEE.

关键词： Graph neural networks

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