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International Conference on control, Automation and systems ( ICCAS)

作者： Surayuth Duenkwang Chutimon Ketkarn Sorravee Wanichphol Benjamas Panomruttanarug Department of Department of Control System and Instrumentation Engineering King Mongkut university Technology Thonburi Bangkok Thailand

This study investigates the impact of utilizing a network RTK and our own RTK base station on the lateral tracking performance of a GNSS-based navigation system. The experiment employs an adaptive PID controller and compares the performance of both methods on an autonomous golf cart. The tracking path, composed of straight and curve segments, is manually generated based on the network RTK. The adaptive PID controller, with the gains tuned based on the slope of the path, is used to perform the tracking based on the real-time positioning observed from the network RTK as well as our own RTK base station. The results demonstrate that both network RTK and our own RTK base station achieve acceptable tracking performance, with lateral errors remaining within acceptable limits. Our own RTK base station exhibits slightly lower lateral errors compared to the network RTK, indicating improved tracking accuracy. However, setting up and maintaining our own RTK base station requires a more complex process and additional costs for an extra GNSS receiver. Hence, the choice between the two methods involves a trade-off between enhanced performance and the associated complexities.

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High-Frequency Transformer Development for Compact Dual Active Bridge Converters 16

High-Frequency Transformer Development for Compact Dual Acti...

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16th IEEE International Scientific and Technical Conference Actual Problems of Electronic Instrument engineering, APEIE 2023

作者： Demidova, Galina Lukichev, Dmitry Poliakov, Nikolai Usolchev, Aleksandr Lukin, Aleksandr Justo, Jackson J. Faculty of Control System and Robotics ITMO University Saint-Petersburg Russia Department of Electrical Engineering University of Dar es Salaam Dar es Salaam Tanzania United Republic of

ISBN: (纸本)9798350330885

This paper presents a methodology for designing high-frequency transformers operating at 20 kHz made for operation in dual active bridge converter with a voltage setup of 600V/3x100V. The paper begins by explaining the calculation process for the transformer's design, focusing on crucial aspects such as leakage and magnetizing inductances. Specific techniques for the transformer winding process are discussed, ensuring accuracy and efficiency. Furthermore, the paper analyzed into calculating the parameters that make up the transformer's equivalent circuit, offering insights into its electrical characteristics. It also explores the impact of transformer leakage inductance on the converter's active power performance. To ensure the transformer's robust thermal performance, a thorough thermal analysis using Ansys software is conducted by considering various cooling methods. Finally, the construction details of the transformer, bridging the gap between theoretical design and practical realization are presented. The research concludes with the development of the final transformer construction, harmonizing the theoretical design with practical realization. This study contributes to the field of high-frequency transformer design and highlights the significance of design considerations, particularly in applications where compact and highly efficient power conversion solutions are required. © 2023 IEEE.

关键词： High frequency transformers

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Parameter Identification of Signal Attenuation for High Speed Rail Communication system Using Grey Box Neural Network 8

Parameter Identification of Signal Attenuation for High Spee...

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8th International Conference on instrumentation, control, and Automation, ICA 2023

作者： Lukman, Selvi Nazaruddin, Yul Yunazwin Joelianto, Endra Institut Teknologi Bandung Engineering Physics Doctoral Program Faculty of Industrial Technology Bandung Indonesia Institut Teknologi Bandung Instrumentation Control Research Group Department of Engineering Physics Bandung Indonesia National Center for Sustainable Transportation Technology Bandung Indonesia

ISBN: (纸本)9798350301274

A reliable connected digital railways must face a huge challenge of network and frequency planning in order to deploy a dedicated infrastructure for High Speed Rail (HSR). This paper investigates the parameter identification of signal attenuation for HSR in a free space propagation case. A neural network based optimization of Grey Box Neural Network (GBNN) is utilized to validate the parameter identification results. Satisfying results of minimum convergences of RMSE = 1.6371 and MAPE = 0.015 have been achieved. Furthermore, the ability of identified parameter in adjusting the dynamic scenario of the real signal attenuation measurement dataset is displayed when the distance is 118.45 meter and the path loss value is 116.82 dB. Through this applied neural network based technique, network designers are able to plan and design the best possible of network performances and frequency planning for HSR. © 2023 IEEE.

关键词： Parameter estimation

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Comparative Analysis of YOLO-based Models for Vocal Cord Segmentation in Laryngoscopic Images 28th

Comparative Analysis of YOLO-based Models for Vocal Cord Seg...

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28th International Conference on Knowledge Based and Intelligent information and engineering systems, KES 2024

作者： Steinbach, Jakub Vrba, Jan Jirsa, Tomáš Cejnek, Matouš Urbániová, Zuzana Department of Mathematics Informatics and Chemistry Faculty of Chemical Engineering University of Chemistry and Technology in Prague Technická 5 Praha 6 - Dejvice Prague166 28 Czech Republic Department of Instrumentation and Control Engineering Faculty of Mechanical Engineering Czech Technical University in Prague Technická 1902/4 Praha 6 - Dejvice Prague160 00 Czech Republic Department of Otorhinolaryngology 3rd Faculty of Medicine Faculty Hospital Královské Vinohrady Charles University Ruská 87 Praha 10 Prague100 00 Czech Republic

This study presents a comparative analysis of segmentation models based on the YOLO (You Only Look Once) architecture for the task of vocal cord detection in laryngoscopic images. The yolov5, yolov8, and yolov9 architectures were evaluated using images obtained from laryngoscopic videos recorded during standard examinations at ORL clinics. The primary objective was to assess the efficiency of different model sizes and architectures in accurately identifying the position of vocal cords within the images. Our findings reveal that all evaluated architectures demonstrate proficiency in vocal cord detection, with comparable results across the models. However, there is a discernible difference in mean Average Precision (mAP) metrics (at IoU thresholds ranging from 0.5 to 0.95). Notably, yolov8 exhibits the highest mAP scores, followed by yolov5 and yolov9, indicating superior performance in identifying vocal cord regions. This comparative analysis provides valuable insights into the effectiveness of YOLO-based segmentation models for vocal cord detection, highlighting the importance of model size and architecture selection in medical image analysis applications. © 2024 The Authors.

关键词： Image segmentation

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Extended NNs-Based Adaptive Event-Triggered Asymptotic control for Nonlinear systems Against Actuator Faults 7

Extended NNs-Based Adaptive Event-Triggered Asymptotic Contr...

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7th International Symposium on Autonomous systems, ISAS 2024

作者： Liu, Shanlin Zhang, Yingwei Zhao, Xudong Wang, Hesheng Northeastern University College of Information Science and Engineering Shenyang China Northeastern University State Laboratory of Synthesis Automation of Process Industry Shenyang China Dalian University of Technology Faculty of Electronic Information and Electrical Engineering Dalian China Department of Automation Key Laboratory of System Control and Information Processing of Ministry of Education Key Laboratory of Marine Intelligent Equipment and System of Ministry of Education Shanghai Engineering Research Center of Intelligent Control and Management Shanghai Jiao Tong University Shanghai China

ISBN: (纸本)9798350363173

In this article, an adaptive event-triggered asymp¬totically fault-tolerant control (FTC) issue for nonlinear systems with actuator faults is investigated. An extended neural networks (NNs) technique is introduced to estimate unknown functions of the system under consideration. Compared with traditional NNs that ignore approximation errors, the proposed extended NNs further processes approximation errors, reducing the conservatism of the proposed algorithm. Then, within the framework of backstepping method, a new adaptive control strategy is developed by combining event-triggered mechanism (ETM) and bound estimation (BE) approach, which ensures the asymptotic convergence of system states while also reducing the transmission of unnecessary information, thus improving the utilization of communication resources. At the same time, the designed controller eliminates the adverse effects of actuator failures and system nonlinear terms. Finally, a simulation example of a single-link robot system is provided to demonstrate that the developed control strategy can ensure that all signals are bounded and system states are asymptotically convergent. © 2024 IEEE.

关键词： Approximation algorithms

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Sensing Metric-Based Hybrid Underlay/Overlay Transmission Framework for CR-IoT Networks for Smart City Applications 7

Sensing Metric-Based Hybrid Underlay/Overlay Transmission Fr...

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7th IET Smart Cities Symposium, SCS 2023

作者： Bala, Indu Mijwil, Maad M. Abotaleb, Mostafa El-Kenawy, El-Sayed M. Ibrahim, Abdelhameed School of Electrical and Electronics Engineering Lovely Professional University Punjab India Computer Techniques Engineering Department Baghdad College of Economic Sciences University Baghdad Iraq Department of System Programming South Ural State University Chelyabinsk Russia Department of Communications and Electronics Delta Higher Institute of Engineering and Technology Egypt Computer Engineering and Control Systems Department Faculty of Engineering Mansoura University Mansoura Egypt

ISBN: (纸本)9781839539831

With the increasing number of IoT devices, there is a growing need for bandwidth to support their communication. Unfortunately, there is a shortage of available bandwidth due to preallocated bands for various services. To address this issue, Cognitive Internet of Things (CR-IoT) enables devices to optimize their efficiency and enhance their communication capabilities by intelligently accessing available bandwidth. This is achieved through the use of soft sensing metrics, where devices continuously monitor the RF environment and transmit data opportunistically in overlay mode if a free channel is detected, or in underlay mode if not. In this paper, a soft sensing metric based hybrid transmission framework is proposed for CR-IoT devices to meet the data rate requirement for the smart city applications. The efficacy of this approach is demonstrated through simulation results. © The Institution of engineering & Technology 2023.

关键词： Smart city

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Observer based control for Paddle Juggling with Considering Ball Spin Effect

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IFAC-PapersOnLine 2023年第2期56卷 5306-5312页

作者： Akira Nakashima Department of Mechanical Engineering and System Control Faculty of Science and Engineering Nanzan University Yamazato-cho 18 Showa-ku Nagoya Japan

This paper deals with the 2-dimensional paddle juggling where a racket hit a ball vertically and iteratively. The racket rebound model is considered where both the translational and rotational velocities of the ball change at the rebound due to the effect of the racket rubber. The LQ servo controller is derived based on the complete ball transition with the racket rebound model. In addition, a whole observer system to estimate all the ball states is proposed which consists of a continuous one for the free flying ball and a discrete one for the ball rebound. Note that it is essential that the rotational velocity can be only estimated by the discrete observer at the rebound. A numerical simulation is performed in order to verify the effectiveness of the total discrete output feedback controller.

关键词： Ball Juggling Racket Rebound Observer LQ Servo

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Convergent Wheeled Robot Navigation Based on an Interpolated Potential Function and Gradient

SSRN

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SSRN 2023年

作者： Seder, Marija Klančar, Gregor Department of Control and Computer Engineering Faculty of Electrical Engineering and Computing University of Zagreb Croatia Department of System Control and Cybernetics Faculty of Electrical Engineering University of Ljubljana Slovenia

The article presents a novel idea to construct a smooth navigation function based on the grid-based search that enables replanning in dynamic environments. Since the dynamic constraints of the robot are also considered, the navigation function is combined with the model predicted control (MPC) to guide the robot safely to the defined goal location. The main novelty of this work is the definition of this navigation function and its MPC application with guaranteed closed-loop convergence in finite time for a non-holonomic robot with speed and acceleration constraints. The navigation function consists of an interpolated potential function derived from the grid-based search and a term that guides the orientation of the robot on continuous gradients. The navigation function guarantees convergent trajectories to the desired goal, results in smooth motion between obstacles, has no local minima, and is computationally efficient. The proposed navigation is also suitable in dynamic environments, as confirmed by experiments with a Husky mobile robot. © 2023, The Authors. All rights reserved.

关键词： Model predictive control

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Robust Frequency Regulation for Dual-Area Interconnected Grids Using Hybrid controller: A Comparative Study 3

Robust Frequency Regulation for Dual-Area Interconnected Gri...

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3rd IEEE International Conference on Smart Technologies for Power, Energy and control, STPEC 2023

作者： Wazir, Awadh Ba Alhussainy, Abdullah A. Alobaidi, Abdulraheem H. Altaf, Aatif Kumar, Anil Kumar, Mahendra Alghamdi, Sultan King Abdulaziz University Faculty of Engineering Department of Electrical and Computer Engineering Jeddah Saudi Arabia King Abdulaziz University Center of Research Excellence in Renewable Energy and Power Systems Jeddah Saudi Arabia Dr. B R Ambedkar National Institute of Technology Jalandhar Instrumentation and Control Engineering Department Punjab Jalandhar India

ISBN: (纸本)9798350304732

This paper introduces a robust controller designed for load frequency control in a dual-area integrated power grid. Here, the suggested controller is a blend of a fuzzy logic controller with an integral controller. The parameters of the integral controller and frequency bias settings are optimized to enhance the dynamic response of the proposed controller. To attain this, three distinct optimization algorithms are employed, i.e., genetic algorithm, simulated annealing, and pattern search. A new objective function using settling time, settling-max, and settling-min with a suitable weight factor is used to improve the parameters estimation process. A comparative analysis is performed using the proposed approach and classical-I controller under two cases considering several load disturbance scenarios. Furthermore, the suggested hybrid controller is evaluated and compared with similar models in the literature. As expected, the proposed controller exhibits superior performance. © 2023 IEEE.

关键词： Fuzzy logic controller integral controller load frequency control optimization technique parameter estimation

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Analysis of Temperature Distribution from The Comparison Egg Incubator Shape by 3-D Finite Element Method

Analysis of Temperature Distribution from The Comparison Egg...

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2022 International Electrical engineering Congress, iEECON 2022

作者： Amornsawatwattana, Issaraporn Son-In, Sirirat Phanak, Warisara King Mongkut's University of Technology North Bangkok Faculty of Engineering Department of Instrumentation and Electronics Engineering Bangkok Thailand Bangkokthonburi University School of Electrical Engineering Faculty of Engineering Bangkok Thailand Company Limited Quality Control Calibration Engineer Samut Prakan Thailand

ISBN: (纸本)9781665402064

Arithmetical model of temperature in the egg incubator which are manifested in the second-order partial differential equation is introduced in this paper. MATLAB program with 3-D finite element method in a programmatic simulation was applied for temperature examination. The egg incubator analysis. According to the simulation model of the egg incubator in the shape of curve, hexagon, and square, it is found that the temperature distribution of curve egg incubator is the best distributed by consider standard deviation that is less than other shape, there were on steady-state at 37 °C at 20 minutes. © 2022 IEEE.

关键词： Temperature distribution

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