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Design of Output Voltage control for Dual-Active Bridge of Solid-State Transformer in Indonesia

Design of Output Voltage Control for Dual-Active Bridge of S...

引用

2023 international conference on Smart-Green technology in Electrical and Information systems, ICSGTEIS 2023

作者： Ridwan, Muhammad Sidik, Yohan Fajar Sriyono Gausultan, Kevin Widyastuti, Rifka Wijaya, F. Danang Supriyadi, Guntur Wijaya, Lathief Pln Research Institute Transmission and Distribution Research Department Jakarta Indonesia Universitas Gadjah Mada Electrical Engineering Department Yogyakarta Indonesia Cyber University Information Technology Department Jakarta Indonesia

ISBN: (纸本)9798350382822

This article presents the design and simulation of a single-phase shift control system for a future smart transformer in Indonesia with a Solid-State Transformer (SST). The SST designed using three-stage topology, with a dual-active bridge (DAB) converter as a DC-to-DC converter connecting the rectifier to the inverter. This study applies a single-phase shift control for output voltage control for DAB in the SST. The controller is designed for singular and modular topologies of DAB. The modular design consists of 40 levels of DAB to transform medium voltage into low voltage. The control parameter is obtained by using PID tuner and then adjusted to gain better performance of dynamic conditions. The dynamic conditions include step and load response, with measuring the voltage and current responses. The simulation results show successful operation of the proposed control system, with stable voltage and current responses. © 2023 ieee.

关键词： DC-DC converters

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Hybrid Decision-making Strategy Combining Reinforcement Learning and Decision Rules for Highway Unmanned Driving

Hybrid Decision-making Strategy Combining Reinforcement Lear...

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2024 ieee international conference on Unmanned systems, ICUS 2024

作者： Zhang, Lele Yang, Zeyu Yu, Caocao Hu, Ziniu Zhou, Yunshui Cui, Qingjia State Key Laboratory of Advanced Design and Manufacturing Technology for Vehicle Hunan University Changsha China Wuxi Intelligent Control Research Institute of Hunan University Wuxi China

ISBN: (纸本)9798350384185

In recent years, reinforcement learning has been employed to address the challenge of unmanned driving decision-making, due to its ability to handle uncertainty and continuous optimization. However, compared with rule-based algorithms, its training time is considerable and the reliability of its results is difficult to guarantee. To enhance the security of decision-making processes, this paper proposes a hybrid decision-making algorithm designed to accelerate the training process of reinforcement learning and enhance the reliability of decision-making. The method first evaluates the confidence levels of both rule-based and learning-based strategies by leveraging the data collected throughout the training phase. Subsequently, an activation function is crafted to determine the final strategy with the greatest level of confidence. This guarantees that the final strategy performs at least on par with the rule-based approach. A simulation focused on highway driving was conducted as a case study to illustrate the effectiveness of the proposed method. The results demonstrate that the proposed approach offers greater profitability than the rule-based method and higher reliability compared to the learning-based method. © 2024 ieee.

关键词： Reinforcement learning

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Integrated control of traffic signal and automated vehicles for mixed traffic: Platoon-based bi-level optimization approach 25

Integrated control of traffic signal and automated vehicles ...

引用

ieee 25th international conference on intelligent Transportation systems (ITSC)

作者： Zou, Yangang Zheng, Fangfang Fan, Zhichen Tang, Youhua Southwest Jiaotong Univ Sch Transportat & Logist Chengdu 611756 Peoples R China Southwest Jiaotong Univ Sch Transportat & Logist Natl Engn Lab Integrated Transportat Big Data App Natl United Engn Lab Integrated & Intelligent Tra Chengdu 611756 Peoples R China

ISBN: (数字)9781665468800

ISBN: (纸本)9781665468800

Connected and autonomous vehicle (CAV) technologies are widely recognized to help improve the operational efficiency of urban road traffic systems and thus mitigate traffic congestion. In this study, we propose a bi-level integrated control method to optimize traffic signals and automated vehicle trajectories simultaneously for mixed traffic with human-driven vehicles (HDVs) and CAVs. Instead of considering individual vehicles in the optimization process, the vehicles are divided into platoons, which are used as the basic units for optimal control, such that the computational cost can be reduced. A mixed integer linear programming (MILP) model is developed to optimize the signal timing scheme and arrival time of the platoon at the stop line with the objective of minimizing the total delay. Based on the optimized arrival time, the trajectory of the first CAV in the moving platoon is optimized to reduce the start-stop phenomenon at the intersection. Numerical experiments are performed and the results demonstrate that the proposed method outperforms the vehicle-actuated control method significantly in terms of the delay and fuel consumption reduction under different traffic conditions. Furthermore, the performance improvement of the proposed model compared to that of the vehicle-actuated control method increases substantially with the increase of the CAV penetration rate.

关键词： Roads Optimal control Process control Optimization methods Trajectory Delays Numerical models

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Design of an intelligent Following Driving System Based on MSP432P401R 13

Design of an Intelligent Following Driving System Based on M...

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13th international conference on Information technology in Medicine and Education, ITME 2023

作者： Cheng, Siqiang Ou, Anping Huang, Yangyang Cheng, Yun School of Information Hunan University of Humanities Science and Technology Loudi China

ISBN: (纸本)9798350319156

As a key research topic in the field of intelligent vehicle system, path follow control includes odometry, obstacle detection, path planning, and path tracking, has attracting significant attention from scholars. In this paper, we utilize the MSP432P401R micro controller as the development platform to build an embedded hardware control system. The system comprises the K210Dock, OpenMv camera module, Bluetooth serial communication module, power module, motor driver module, and interface circuit design between modules. By incorporating the position PID algorithm, the system achieves differential speed rotation for the two driving wheels of the vehicle, enabling autonomous navigation, obstacle avoidance, and path tracking. By simulating real vehicle driving conditions, this study provides valuable insights for the research on intelligent vehicles. © 2023 ieee.

关键词： intelligent vehicle highway systems

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The Design of Independent-Uniform Knowledge Sources of Blackboard Architecture in Timber Harvesting Decision-Making 18

The Design of Independent-Uniform Knowledge Sources of Black...

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18th international conference on Ubiquitous Information Management and Communication, IMCOM 2024

作者： Mukhtar, Hana Munira Muhd Ismail, Roslan Software Engineering Section Malaysian Institute of Information Technology Universiti Kuala Lumpur Kuala Lumpur Malaysia

ISBN: (纸本)9798350331011

This paper is to highlight the formation of the new design;a one-of-kind structure that is an independentuniform knowledge source of blackboard architecture. The domain and control knowledge sources independently defined the solution to the domain and control problems. Wellorganized hierarchical levels are constructed for both domain and control problems. The domain level represents each task and process in timber-harvesting decision-making. The control level decides which feasible action that should be executed at the respective stage in the decision-making process. Knowledge sources are independent and each is regarded as a specialist on its problem. They are uniformly designed where the abstraction of the knowledge source is identical. The control process flow illustrates how both domain and control knowledge sources are able to dynamically integrate with one another in the decisionmaking process. © 2024 ieee.

关键词： Decision making

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Enhancing Casting Quality: CNN-RF Fusion for Accurate Defect Identification

Enhancing Casting Quality: CNN-RF Fusion for Accurate Defect...

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2024 ieee international conference on Information technology, Electronics and intelligent Communication systems, ICITEICS 2024

作者： Mir, Taifa Ayoub Banerjee, Deepak Chauhan, Rahul Pokhariya, Hemant Singh Chitkara University Institute of Engineering and Technology Chitkara University Punjab India Graphic Era Hill University Uttarakhand Dehradun India Graphic Era Deemed to Be University Uttarakhand Dehradun India

ISBN: (纸本)9798350382693

In this study piece, the authors research two different kinds of neural networks, namely Convolutional Neural Networks (CNN) and Random Forest (RF), with the goal of determining whether or not these neural networks may be utilized to identify flaws in the process of metal casting process. When training and evaluating classification models, a dataset that contains photographs of a variety of casting errors is utilized. In addition to slag inclusion, some of these flaws include metal penetration, swell casting, cold shut, pinholes, and cold shut. In order to illustrate how well the model can identify casting errors, speed measurements were calculated for each kind of defect. An example of one of these evaluations is the F1-score, along with Precision and Recall. To display how frequently each defect class appears in the sample, support numbers may also be utilized. Support proportion, on the other hand, demonstrates how equally the various defect classes are spread across the sample. When it comes to means, there are three categories: huge, weighted, and microscopic. These averages not only offer an overview of performance data for all distinct types of faults, but they also demonstrate how accurate the model is in general. As can be observed from the excellent accuracy, recall, and F1-scores across all fault sites, the findings are encouraging;the model is successful at identifying problems. In addition, they produce favorable results. In order to illustrate how CNN and RF may be applied to improve quality control standards in the metal casting sector, the goal of this study is to showcase the potential of these technologies. In the long run, this will result in the production of cast components of a higher grade. © 2024 ieee.

关键词： Convolutional neural networks

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Joint Action is a Framework for Understanding Partnerships Between Humans and Upper Limb Prostheses 10

Joint Action is a Framework for Understanding Partnerships B...

引用

10th ieee RAS/EMBS international conference for Biomedical Robotics and Biomechatronics (BioRob)

作者： Dawson, Michael R. Parker, Adam S. R. Williams, Heather E. Shehata, Ahmed W. Hebert, Jacqueline S. Chapman, Craig S. Pilarski, Patrick M. Univ Alberta Dept Med Edmonton AB Canada Alberta Machine Intelligence Inst Amii Edmonton AB Canada Univ Alberta Fac Rehabil Med Edmonton AB Canada Univ Alberta Dept Biomed Engn Edmonton AB Canada Univ Alberta Fac Kinesiol Sport & Recreat Edmonton AB Canada

ISBN: (纸本)9798350386523;9798350386530

This work contributes a conceptual analysis of upper-limb prosthesis control methods;the goal of this work is to deliver new insight into the design of future biomechatronic systems intended for human interaction. Recent advances in upper limb prostheses have led to significant improvements in the number of movements provided by a user's robotic limb. However, controlling multiple degrees of freedom via muscle-generated (myoelectric) signals remains challenging for individuals with limb difference. To address this issue, various machine learning controllers have been developed to better predict a user's movement intent. As these controllers become more intelligent and take on more autonomy in the system, the traditional approach of representing the human-machine interface as a human controlling a tool becomes limiting. We here suggest that one possible approach to improve the understanding of these interfaces is to model them as collaborative, multi-agent systems through the lens of human-prosthesis joint action. The field of joint action has been commonly applied to two human partners who work jointly together to effect coordinated change in their shared environment. Using a joint action framework also provides opportunities to understand the interactions between human and machine partners: how each represents the other's goal, their monitoring and prediction of each other's actions, the communication between them, and their ability to adapt to each other. In this work, we survey three different prosthesis controllers-proportional electromyography with sequential switching, pattern recognition, and adaptive switching-in terms of how they present the hallmarks of joint action. The results of this comparison contribute a new perspective for understanding how existing myoelectric systems relate to each other, along with two concrete recommendations for how to improve these systems via additional capacity for prediction learning and coordination smoothing.

关键词： Multi agent systems

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A Survey on Cooperative control of Multi-Agent systems 2

A Survey on Cooperative Control of Multi-Agent Systems

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2nd international conference on Artificial Intelligence, Human-Computer Interaction and Robotics, AIHCIR 2023

作者： Yang, Zecheng Ma, Nan Yao, Yongqiang Beijing Key Laboratory of Information Service Engineering Beijing Union University Beijing China Beijing University of Technology Faculty of Information and Technology Beijing100124 China Beijing Shuncheng High-tech Co. Ltd Beijing China

ISBN: (纸本)9798350360363

Cooperative control of multi-agent systems involves the coordination and collaboration of multiple intelligent agents to achieve common goals or tasks. This field finds extensive applications in robotics, intelligent transportation systems, the Internet of Things, and unmanned systems, garnering substantial attention from both academia and industry. Moreover, it serves as a fundamental requirement for intelligent interaction and human-robot collaboration, offering crucial support for machines in perceiving their external environments. Over the last decade, notable strides have been made in this domain. Consequently, this paper conducts a comprehensive review of recent advancements. Initially, this paper delineate the backdrop of cooperative control in multi-agent systems, followed by an exploration of the research's progression. Subsequently, various methodologies for formation and collaboration are introduced, with an in-depth discussion of advanced cooperative control algorithms for multi-agent systems. Lastly, this paper provides a prospective outlook on the future direction of multi-agent cooperative control. © 2023 ieee.

关键词： Multi agent systems

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Enhancement of Power Quality in PM-BLDC Motor Drive using Bridgeless Landsman PFC Converter for Low Power Home Appliances 1

Enhancement of Power Quality in PM-BLDC Motor Drive using Br...

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1st international conference on intelligent Technologies for Sustainable Electric and Communications systems, iTech SECOM 2023

作者： Navaneethakrishnan, S.M. Arunkumar, S. Mugil Arasu, M. Ruthra Moorthy, P. Kumaraguru College of Technology Department of Eee Coimbatore India

ISBN: (纸本)9798350371185

This paper focuses on developing and deploying the Landsman converter with a Bridgeless (BL) arrangement to control a Brushless DC Motor (BLDCM) drive, which consists of an LC filter connected in series with the BL-Landsman converter which is then linked with VSI to drive the BLDCM. This arrangement eliminates the need for Diode Bridge Rectifiers (DBR) and the losses that show up with them. The converter is made to operate in a Discontinuous Inductor Current Mode (DCIM) in order to maneuver the input DC voltage fed to the Voltage Source Inverter (VSI) thereby controlling the speed of the BLDCM henceforth the control switches of VSI are operated by the signals of low frequency in this way the switching losses are minimized. This reduces the output ripples at the load side and improves the input side Power factor. The MATLAB -Simulink platform is utilized to evaluate the performance of the overall system. © 2023 ieee.

关键词： Brushless DC motors

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Research on Moxibustion Robot Design and Closed-loop control technology 3

Research on Moxibustion Robot Design and Closed-loop Control...

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3rd international conference on Advanced Sensing, intelligent Manufacturing, ASIM 2024

作者： Xuan, Liang Shen, Ao Yu, Wuxin Teng, Shaowei Jianghan University School of Intelligent Manufacturing Wuhan China

ISBN: (纸本)9798331524456

This paper addresses the challenges moxibustion robots face as they transition from laboratory settings to clinical applications, specifically the difficulties in regulating moxibustion temperature and controlling the application distance. The paper reviews and analyzes relevant literature on the design technology of moxibustion robot actuators, temperature control technology for moxibustion robots, robotic arm trajectory planning technology, and closed-loop control technology for robotic arms. To tackle these issues, this article proposes a comprehensive research plan for the design and closed-loop control technology of moxibustion robots, offering guidance for future development directions in moxibustion robotics and promoting the advancement of robotics in the medical field. © 2024 ieee.

关键词： Closed loop control systems

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