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Design and Analysis of Variable Voltage SMPS Device Using Bluetooth controller for Mode Selection 3

Design and Analysis of Variable Voltage SMPS Device Using Bl...

引用

3rd ieee International conference on Power Electronics, Intelligent control and Energy Systems, ICPEICES 2024

作者： Saahithi, S. Rajashekar, Udadala Bukkapatanam, Hithesh Nanditha Varshini, E. Raghu, C.N. Subburaj, Vivekanandan School of Eee Reva University Bengaluru India National Institute of Technology Department of Electrical Engineering Assam Silchar India

ISBN: (纸本)9798350387193

This paper introduces an optimized design procedure for a DC-DC buck, boost and buck-boost configurations in single circuit with an integrated dissipative snubber, aiming to enhance performance and efficiency. The conventional buck-boost converter's versatility in adjusting output voltage is complemented by the dissipative snubber, mitigating hard switching challenges in power semiconductors. Utilizing advanced control techniques for seamless transitions between step-down and step-up modes, the proposed circuit ensures optimal operation across varying input voltages. The research delves into the snubber's impact on limiting maximum voltage stress across the switch, considering power losses in the snubber resistor. Simulation and analysis results validate the design's effectiveness in meeting voltage regulation requirements, showcasing its adaptability to diverse electronic applications. This optimized design methodology holds promise for improving DC-DC converter efficiency in practical applications where mitigating switching losses and optimizing voltage stress are critical considerations. Also this proposed converter provides output simultaneously for buck and boost configurations. The mode selection is made using Bluetooth technology. © 2024 ieee.

关键词： Buck converter

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Observability Analysis of Initial Relative Orbit Determination of Space Targets with Optical Measurements

Observability Analysis of Initial Relative Orbit Determinati...

引用

2024 ieee International conference on control Science and Systems Engineering, ICCSSE 2024

作者： Zhang, Xiaohong Zhou, Haiyin Li, Maodeng Yi, Bin Wang, Jiongqi College of Science National University of Defense Technology Changsha China Beijing Institute of Control Engineering Beijing China School of Mathematics and Statistics Changsha University of Science & Technology Changsha China

ISBN: (纸本)9798331517199

Autonomous spacecraft relative navigation has a wide range of applications in the field of on-orbit services. By virtue of its advantages of simplicity, reliability, small size, light weight and long acting distance, the optical camera has become the main measurement device for spacecraft relative navigation. However, since the optical camera can only acquire the line-of-sight information of the target and lacks the distance information, this limits the accuracy of spacecraft relative state estimation. Meanwhile, accurate initial relative orbiting is the foundation and key prerequisite for optical relative navigation. In order to improve the estimation accuracy and convergence speed of optical relative navigation, this paper proposes a method for analysing the observability of the initial relative state based on optical relative navigation. The observability of the initial relative state is analysed, and the method does not involve the operation of the Lie derivative, which significantly reduces the computational complexity of the observability analysis. Finally, the effects of orbital inclination, eccentricity and J2 ingestion on LEO are simulated and analysed. © 2024 ieee.

关键词： Observability

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Cooperative control of Wind Farms under Maintenance Constraints

Cooperative Control of Wind Farms under Maintenance Constrai...

引用

ieee conference on control technology and applications (CCTA)

作者： Buccafusca, Lucas Beck, Carolyn L. Univ Illinois Dept Ind & Enterprise Syst Engn Urbana IL 61801 USA Univ Illinois Coordinated Sci Lab Urbana IL 61801 USA

ISBN: (数字)9781665473385

ISBN: (纸本)9781665473385

In this paper, we incorporate wake steering models into a multiobjective wind farm model for improving power extraction, specifically under the framework of handling maintenance of individual turbines. We expand upon a previous heuristic method to find axial induction factors for the far-field wake problem and using the results of the algorithm as parameters for a model predictive control framework. Simulation results are discussed, demonstrating improved power output over algorithms that do not account for maintenance.

关键词： Cooperative Systems Multiobjective control Nonconvex Optimization Wind Farms

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Harmonic RL: A Frequency-Domain Approach to Reinforcement Learning with Application to Active Knee Prosthesis 63

Harmonic RL: A Frequency-Domain Approach to Reinforcement Le...

引用

63rd ieee conference on Decision and control, CDC 2024

作者： Cetindag, Can McAllister, Robert D. Esfahani, Peyman Mohajerin Delft University of Technology Delft Center for Systems and Control Delft Netherlands

ISBN: (纸本)9798350316339

We propose a frequency-domain state representation to improve the performance and reduce the computation and data requirements of reinforcement learning. This approach is tailored to tracking tasks of periodic trajectories. We apply the proposed methodology to an active knee prosthesis application. Using the high-fidelity simulator MuJoCo, we demonstrate significant performance improvements (in terms of Bellman error) for the proposed frequency-domain state representation relative to the current state-of-the-art time-domain state representation used in these applications. © 2024 ieee.

关键词： Active learning

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Upper Limb Rehabilitation Robot control based on Large Language Model 11

Upper Limb Rehabilitation Robot Control based on Large Langu...

引用

11th International conference on Computer, control, Informatics and its applications, IC3INA 2024

作者： Rifai, Yanayir Ataka, Ahmad Bejo, Agus Badriawan, Yusuf Kurnia Department of Electrical and Information Engineering Universitas Gadjah Mada Yogyakarta Indonesia

ISBN: (纸本)9798331542313

Stroke is a life-threatening condition and its survivors often face significant disabilities that reduce their quality of life, making effective rehabilitation systems essential. Automation technology, such as robotics, offers a promising solution to improve rehabilitation quality. However, the implementation of this technology can be challenging for users due to interface complexity. To ensure easier adoption, the user interface of these systems must be both comfortable and easy to use. Large Language Models (LLMs) currently offer a promising solution to this challenge. This study explores the use of an LLM as a control interface for an upper limb rehabilitation robot. By combining high-level task execution based on LLM and low-level forward kinematics, we exploit the intuitiveness of LLM and the accuracy of model-based control to perform various rehabilitation tasks more easily. The findings demonstrate that the LLM-based control interface significantly outperforms traditional keypad-based controls in rehabilitation robot usability tests, achieving a high success rate in the trials. © 2024 ieee.

关键词： Robots

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Development of a Method for Assessing Indicators of Discrete control Systems

Development of a Method for Assessing Indicators of Discrete...

引用

2025 Systems of Signals Generating and Processing in the Field of on Board Communications, SOSG 2025

作者： Artemyev, Viktor S. Mokrova, Nataliya V. Plekhanov Russian University of Economics Moscow Russia University of Science and Technology Misis Moscow Russia

ISBN: (纸本)9798331532635

In modern industry and transport systems, control to ensure the accuracy of technology processes is of crucial significance. The article provides examples of using the theory of dynamic systems to ensure the accuracy of control systems for elements of transport systems, allowing for monitoring, optimization and intensification of processes based on automated systems for analyzing control system indicators. control systems encounter such disturbing factors as dynamic loads, equipment wear and tear and external factors leading to variations from specified parameters. The paper presents studies of dynamic characteristics to determine potential opportunities for adjusting process parameters, which in turn help in identifying the causes of deviations and determining optimal process parameters. The proposed methods for assessing the quality indicators of control systems are proposed for use in digital signal processing, control systems and other applications related to the analysis of dynamic systems. © 2025 ieee.

关键词： control system analysis

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A Comparative Analysis on Application of PI and LQR Based control for Speed Tracking of a DC Motor 3

A Comparative Analysis on Application of PI and LQR Based Co...

引用

3rd ieee International conference on control, Instrumentation, Energy and Communication, CIEC 2024

作者： Roy, Souvik Basak, Arijit Majumder, Abhishek Chowdhuri, Sumana University of Calcutta Dept. of Applied Physics West Bengal Kolkata India Future Institute of Technology Dept. of Electrical Engg West Bengal Kolkata India

ISBN: (纸本)9798350313703

DC motors have found extensive industrial usage due to their wide range of speed control and excellent speed torque characteristics. The simplest speed control technique for dc motor is the proportional integral (PI) control due to its ease of implementation since all the control variables are dc quantities. Improved performance can be achieved by using other control techniques like deadbeat control, fuzzy logic control, model predictive control and state feedback control. The optimal control approach of state feedback is Linear Quadratic Regulator (LQR) control which has been proven to achieve better control action compared to classical control approaches. This paper emphasizes on the mathematical approach to design the LQR controller for speed control of a DC motor by converting the reference tracking problem into a regulator problem. The controller has been designed in the Simulink environment of MATLAB and the performance of the designed controller is compared to that of a PI based controller. © 2024 ieee.

关键词： State feedback

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Centralized Robust control of a 2 MW Drivetrain Supported on Three Radial Magnetic Bearings

Centralized Robust Control of a 2 MW Drivetrain Supported on...

引用

ieee International Electric Machines and Drives conference (IEMDC)

作者： Jastrzebski, Rafal P. Putkonen, Atte Chechurin, Leonid Chiba, Akira Lappeenranta Lahti Univ Technol Lappeenranta Finland Univ Turku Turku Finland Lappeenranta Lahti Univ Technol Dept Elect Engn Lappeenranta Finland Lappeenranta Lahti Univ Technol Ind Management Dept Lappeenranta Finland Tokyo Inst Technol Dept Elect & Elect Engn Tokyo Japan

ISBN: (纸本)9798350398991

Higher power applications such as compressors, turbines, and fans benefit from high-speed electrical machines and elimination of a gear box. Magnetic bearings have been successfully replacing mechanical bearings providing oil-free, reliable, and low-maintenance solutions. Two trends can be observed in recent development of such applications. The first is the maximum integration provided by the application integration to a bearingless motor rotor. The second is the flexibility provided by the AMB rotor driving applications using flexural coupling. Typically, AMB rotors with two radial AMBs and one axial AMB are employed. Three radial AMB planes provide some advantages when facing changeable drivetrain dynamics. Centralized model-based controllers provide a superior performance compared with decentralized PID-based control methods. Here, the design process of the centralized robust control of an AMB rotor with three radial AMB actuators is presented. LQG, H-infinity, and mu-synthesis controllers are analyzed and tested with the multirotor drivetrain. An uncertain plant model is considered. The physical experiment results are presented.

关键词： Magnetic Levitation Optimal control Robust control Digital control Uncertain Systems Robustness Flexible Structures Actuators Induction Motors Finite Element Methods

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A Transformer Based Network in Monocular Satellite Pose Estimation 13

A Transformer Based Network in Monocular Satellite Pose Esti...

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13th ieee Data Driven control and Learning Systems conference, DDCLS 2024

作者： Deng, YuanPeng Liu, Wei Zhang, Yang Su, JianHua Liu, ChuanKai Beijing Information Science and Technology University China Institute of Automation Chinese Academy of Sciences China Beijing Aerospace Control Center China

ISBN: (纸本)9798350361674

Deep learning methods for optical camera-based pose position estimation are becoming more and more widely used with the improvement of computer hardware, such as target classification, target detection and other fields. One of the roles of deep neural network in pose estimation is to estimate the coordinates of keypoints. However, in some previous methods and applications, there are some drawbacks. For example, it can only be applied to scenes with small changes in distance and rotation angle or road 3D target detection that contains only one axis of rotation, and the accuracy of target estimation for multi-axis rotation is not high. In this paper, we present a monocular pose estimation network that integrates YOLO-v5 with a Transformer module. This approach transforms the pose estimation task into a keypoint Gaussian kernel regression problem, enhancing accuracy and robustness to scale variations. © 2024 ieee.

关键词： Deep neural networks

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Investigation of Different Inner Rotor Structures on BLDC Motors Performance for Traction applications 1

Investigation of Different Inner Rotor Structures on BLDC Mo...

引用

1st ieee International conference on Smart Power control and Renewable Energy, ICSPCRE 2024

作者： Deepak, M. Kumar, C. Santha Karthick, M. Manokaran, J. KIT-Kalaignarkarunanidhi Institute of Technology Department of Eee Coimbatore641402 India Ksr College of Engineering Department of Eee Tiruchengode637215 India Dhanalakshmi Srininvasan College of Engineering Department of Eee Coimbatore641105 India Srm Institute of Science and Technology Department of Ece Chennai India

ISBN: (纸本)9798350377002

The BLDC interior rotor shape motors are increasingly preferred for low-power electric vehicle applications due to their highly efficient mechanical energy conversion, high torque, and low maintenance compared to conventional BLDC motors. Additionally, offered smooth operation, regenerative braking, and easy speed control. However, a key challenge in designing the rotor structure for interior rotor is cogging torque and drive characteristics, which can affect efficiency, and reliability, and lead to premature issues. This paper analyses four different rotor angle barrier and skewing techniques aimed to increase performance and ripples. These rotor topologies include surface-mounted radial magnets, spoke-embedded magnets, interior curved magnets and inset radial magnets. The internal geometry parameters are derived and calculated using sizing equations. A finite element model is employed to analyse motor solve software and study characteristics such as cogging torque, and drive characteristics. Simulation results demonstrate that the spoke-embedded magnet BLDC motor enhances performance to meet the requirements for low-power electric vehicles. © 2024 ieee.

关键词： Regenerative braking

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