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11th Frontier Academic Forum of electrical engineering, FAFEE 2024

作者： Tang, Shuo Li, Hongzhu Faculty of Electrical and Control Engineering Liaoning Technical University Huludao125105 China Liaoning Technical University Huludao125105 China

ISBN: (纸本)9789819787791

A novel non-isolated high-gain double-switch coupled inductor magnetic integrated DC-DC topology is proposed. It can be applied to photovoltaic (PV) power generation and other renewable energy fields. The converter is based on a coupling inductor and switching capacitor unit design. The suggested converter features minimal fluctuations in both input and output current;its voltage and current stress are reduced, thereby lessening the conduction loss in the switch tube;High voltage gain at low duty cycle is possible. The use of magnetic integration technology aims to decrease both the quantity and size of magnetic components while lowering expenses. The converter’s passive clamping component is capable of efficiently absorbing the leakage inductance energy and lowering the maximum voltage at both switch ends, whereas the SC component is inserted into the back stage to enhance the converter’s voltage gain and energy conversion efficiency. Research was conducted on the operational mode, consistent performance, and magnetic configuration of the suggested converter. To confirm the proposed converter’s effectiveness, a 200W experimental model was constructed to authenticate the theory’s accuracy. © Beijing Paike Culture Commu. Co., Ltd. 2025.

关键词： Magnetic leakage

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Robust Fixed-time Composite controller Design with the Unknown System Dynamics Estimator for Nonlinear Robotic Manipulator Systems 24

Robust Fixed-time Composite Controller Design with the Unkno...

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2nd International Conference on Frontiers of Intelligent Manufacturing and Automation, CFIMA 2024

作者： Li, Siyan Xing, Yashan Na, Jing Li, Qi Faculty of Mechanical and Electrical Engineering Yunnan Key Laboratory of Intelligent Control and Application Kunming University of Science and Technology Yunnan China

ISBN: (纸本)9798400710681

In this paper, a robust fixed-time composite control scheme based on an Unknown System Dynamics Estimator (USDE) is proposed. The proposed control method guarantees the tracking error convergence in a fixed-time for nonlinear robotic manipulators with unknown dynamics and disturbance. To address the existence of uncertainties, first, a simple structure of USDE by a low-pass filtering operation is constructed without using acceleration signals, Which is adjusted for only one filter coefficient. Then, the USDE compensate the estimated value into the robust fixed-time composite controller. The composite controller contains a fixed time control term, a robust control term, and a computed torque control term. By the fixed-time control term, the upper bound on the convergence time is independent of the initial conditions of the system, which ensures fast-tracking tasks for the robot manipulator. And the robust control term is used to reduce the impact of USDE estimation errors. The stability of the closed-loop system is demonstrated through Lyapunov criteria. The validity of the proposed method is verified by simulation. © 2024 Copyright held by the owner/author(s).

关键词： Stability criteria

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A Novel Sepic Based Dual-Switch Coupled Inductor High Gain Low Voltage Stress DC-DC Converter 11th

A Novel Sepic Based Dual-Switch Coupled Inductor High Gain L...

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11th Frontier Academic Forum of electrical engineering, FAFEE 2024

作者： Chenghang, Song Li, Hongzhu Faculty of Electrical and Control Engineering Liaoning Technical University Huludao125105 China Liaoning Technical University Huludao125105 China

ISBN: (纸本)9789819787791

This study introduces an innovative dual switch coupled inductor high boost DC-DC converter, addressing the challenges of low gain and high stress in conventional high gain DC-DC converters, applicable in sustainable energy sectors like photovoltaic power generation and fuel cells. The proposed topology structure utilizes clamp diodes and clamp capacitors to weaken the voltage and voltage spikes on the dual switching transistor, while introducing a boost unit and coupling inductance to increase voltage gain. Its performance and efficiency are superior to the compared references, and it achieves higher gain under different turns of coupling inductance ratios. Examine the converter’s various modes of operation and determine its voltage gain, voltage, and current stress. In order to test its performance under different conditions, an experimental prototype was established and the results were analyzed. The rated input voltage for the experiment is 12V, the output voltage is 180V, and the output power is 162W. © Beijing Paike Culture Commu. Co., Ltd. 2025.

关键词： DC-DC converter High Gain Sepic Voltage stress

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A High-Performance Wireless Power Transfer System for Cardiac Pacemaker Based on Multi-MNG

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IEEE Journal of Emerging and Selected Topics in Power Electronics 2025年

作者： Chen, Weihua Wang, Chao Yan, Xiaoheng Zhu, Feiyu Liaoning Technical University Faculty of Electrical and Control Engineering China

In response to the issues of low transmission efficiency, poor offset tolerance, and severe magnetic leakage in wireless energy transmission systems for cardiac pacemakers, this paper presents a novel wireless power transfer system for cardiac pacemakers based on Multi- magnetic negative materials(Multi-MNG). Based on the theory of equivalent medium for magnetic negative materials (MNG) and the distribution of magnetic fields, three different metamaterial units with varying magnetic permeabilities are designed and arranged in a mixed manner to ensure effective convergence of the system's magnetic field, shield magnetic field leakage, and reduce Specific Absorption Rate (SAR). The accuracy, high efficiency, robustness, and safety of the Multi-MNG system's transmission are validated through simulations at 8.94MHz, and it mitigates the impact of magnetic leakage on the human body without a significant decrease in transmission performance. The maximum SAR value of the system is 0.0000504. The transmission performance of the Multi-MNG system is compared with that of ferrite, an unshielded MNG array 1 system, and a traditional system. The experiment unequivocally verifies the high performance of the Multi-MNG system, with a demonstrated maximum system output power of 1.323W and a transmission efficiency peaking at 72.1%, The temperature rise is 2.9°C, which meets human safety standards. © 2013 IEEE.

关键词： Magnetic leakage

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Improved Neutral Point Potential Balance control of Three-Level Inverter with Zero-Sequence Component Superposition

Improved Neutral Point Potential Balance Control of Three-Le...

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International Conference of electrical, Electronic and Networked Energy Systems, EENES 2024

作者： Cui, Guoqing Ren, Zhiling Zhang, Siyi Faculty of Electrical and Control Engineering Liaoning Technical University Huludao125100 China Ordos Institute of Liaoning Technical University Ordos017000 China

ISBN: (纸本)9789819620456

Neutral Point Clamped Three-Level Inverter (NPC TLI) is widely used in medium and high voltage speed regulation systems, grid-connected power generation and other fields because of its low harmonic content, small voltage stress of switching devices and good fault tolerance. Neutral point potential balance control is an important guarantee for NPC inverters. Neutral point potential imbalance will increase the harmonic rate of output voltage and current, and will also greatly reduce the service life of DC side capacitors. This paper proposes an improved neutral point potential balance control method with zero-sequence component superposition. By establishing the topology of NPC three-level inverter and the mathematical in detail switching function, the reasons for the neutral point potential imbalance are analyzed in detail, and then the relationship between the zero-sequence component and voltage of the DC side capacitor is derived. This method is not only simple to calculate, but also can well realize neutral point potential balance control. This results of the simulation prove the effectiveness and correctness of the proposed method in off-grid and grid-connected. © Beijing Paike Culture Commu. Co., Ltd. 2025.

关键词： Capacitor bank

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A Comprehensive Patient Triage Algorithm Incorporating ChatGPT API for Symptom-Based Healthcare Decision-Making 4th

A Comprehensive Patient Triage Algorithm Incorporating ChatG...

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4th International Conference on Emerging Trends and Technologies on Intelligent Systems, ETTIS 2024

作者： Roșca, Cosmina-Mihaela Bold, Răzvan-Alexandru Gerea, Alexandru-Eduard Department of Automatic Control Computers and Electronics Faculty of Mechanical and Electrical Engineering Petroleum-Gas University of Ploiesti 39 Bucharest Avenue Ploieşti100680 Romania

ISBN: (纸本)9789819757022

In health care, it is crucial to organize patient care and resources based on the urgency level so that patients whose lives are in danger are treated as a priority. This study introduces a new algorithm, created in C# using new technologies such as ChatGPT, to improve the sorting and prioritizing of patients based on the National Urgency Level. The algorithm aims to demonstrate the possibility of real-time reporting of the occupancy level of all hospitals. This way, patients can head to the nearest and most available hospital based on both proximity and urgency level. To identify the urgency level, the algorithm utilizes a widely used external service, ChatGPT. Additionally, the algorithm calculates the average waiting time based on the number of patients, their urgency level, and the number of on-duty doctors. To achieve these goals, the algorithm's implementation has been carried out using modern technologies, such as C# programming language, ranging from the artificial intelligence service ChatGPT to entity framework for managing data in the Microsoft database. The article addresses two major issues, namely text-based classification into a specific category based on common characteristics, such as a patient's symptoms concerning a specific urgency level. The second issue is represented by the proposed calculation formula for real-time estimation of waiting time, based on the identified urgency level. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： C++ (programming language)

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Kinematic Parameter Identification of Industrial Robots Based on an Improved Zebra Algorithm 16th

Kinematic Parameter Identification of Industrial Robots Base...

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16th International Conference on Modelling, Identification and control, ICMIC 2024

作者： Zhou, Houchen Gao, Guanbin Wang, Xi Faculty of Mechanical and Electrical Engineering Kunming University of Science and Technology Kunming650500 China Yunnan Key Laboratory of Intelligent Control and Application Kunming650500 China

ISBN: (纸本)9789819617760

Kinematic calibration is one of the main methods to improve the absolute positioning accuracy of industrial robots. Parameter identification is the primary step in determining the calibration effect. However, due to the large number of kinematic parameters of industrial robots and the complex coupling between parameters, the existing parameter identification methods easily fall into local optimal solutions, and it is difficult to obtain accurate kinematic parameters. Therefore, this paper proposes a Particle Swarm Somersault Foraging Zebra Optimization Algorithm (PSSFZOA) for kinematic parameter identification of industrial robots. The proposed PSSFZOA introduces the foraging strategy into the Zebra Optimization Algorithm (ZOA) and linearizes the kinematic error model so that it does not fall into the local optimum in the later stage of optimization, and improves the population diversity in the early stage. In the first stage of the algorithm, the particle swarm strategy is used to provide local optimal particles, which ensures that the algorithm achieves a balance between global search and local search. It has both the ability of deep search and the diversity of breadth search better to find the best in the complex search space. Simulations are carried out to verify the effectiveness of the method. The results show that compared with the existing Grey Wolf Optimization (GWO) and ZOA, the PSSFZOA can avoid falling into local optimum prematurely, accelerate the convergence speed of the algorithm, and improve the absolute positioning accuracy of the industrial robot after parameter identification. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Industrial robots

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A Comparative Analysis of Sorting Algorithms for Large-Scale Data: Performance Metrics and Language Efficiency 4th

A Comparative Analysis of Sorting Algorithms for Large-Scale...

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4th International Conference on Emerging Trends and Technologies on Intelligent Systems, ETTIS 2024

作者： Roșca, Cosmina-Mihaela Cărbureanu, Mădălina Department of Automatic Control Computers and Electronics Faculty of Mechanical and Electrical Engineering Petroleum-Gas University of Ploiesti 39 Bucharest Avenue Ploieşti100680 Romania

ISBN: (纸本)9789819757022

In the era of artificial intelligence and real-time applications, the demand for swift data processing on large volumes has become paramount. This article delves into the critical role of programming languages and frameworks in meeting these requirements. With a focus on web development, the study conducts a comparative analysis of eight classic sorting algorithms—Bubble Sort, Insertion Sort, Selection Sort, Merge Sort, Quick Sort, Heap Sort, Introspective Sort, and Shell Sort—evaluated in two prominent programming languages, PHP and C#. The research emphasizes the importance of selecting programming tools based on performance criteria in the context of modern applications. Next, a new formula for assessing the complexity of sorted words was introduced, aiming to scrutinize its impact on sorting time. Furthermore, a comparative analysis was conducted, evaluating the implementation of sorting in C# using arrays versus lists. The article sought to delineate the intricacies associated with each approach, considering computational efficiency and resource utilization. The discourse delved into the nuanced aspects of word complexity measurement and its consequential effects on the performance of sorting algorithms in the context of C# programming, contributing valuable insights to the ongoing discourse on algorithmic optimization and language-specific implementation choices. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： C (programming language)

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Split Cost Function based Single-Horizon Finite-Set Model Predictive control for Boost Converter with Loading Current Estimation

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IEEE Journal of Emerging and Selected Topics in Power Electronics 2025年

作者： Tatari, Fatemeh Rezayof Bizhani, Hamed Iwanski, Grzegorz Warsaw University of Technology Faculty of Electrical Engineering Warsaw Poland Kielce University of Technology Faculty of Electrical Engineering Automatic Control and Computer Science Kielce Poland

This paper presents a robust single-horizon finite-set model predictive control (FS-MPC) method for controlling the output voltage of boost converters. Unlike the long-horizon FS-MPC approach, which addresses the non-minimum phase (NMP) behavior of the converter by extending the prediction horizon (thereby increasing computational effort), the proposed method ensures stable voltage regulation by incorporating inductor current regulation into the cost function. To achieve this, the desired inductor current is calculated based on input-output power balance theory. Unlike recent studies that require an additional sensor to measure the loading current, this paper develops a loading current estimation approach to eliminate the need for extra current sensors, thereby enhancing the robustness of the proposed FS-MPC method. Additionally, over-current protection, which is typically absent in conventional FS-MPC used for direct voltage regulation, is also incorporated into the proposed method. The conventional cost function is also modified to tackle the NMP behavior more effectively. The performance of the proposed method in regulating the output voltage is evaluated through simulation results. Finally, its effectiveness across a wide range of output power and various load characteristics, including resistive, constant power, and constant current loads, is validated via experimental results. The results demonstrate that the proposed method is not only able to eliminate the overshoot and undershoot, but can also improve the settling time by 41% compared to a well-tuned conventional cascaded PI controller. In addition, the proposed method can reduce the computational burden by 84% compared to the conventional long-horizon FS-MPC approach. © 2013 IEEE.

关键词： Cost functions

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A Framework for Real-Time Monitoring of Power Consumption of Distributed Calculation on Computational Cluster

A Framework for Real-Time Monitoring of Power Consumption of...

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15th International Conference on Cloud Computing and Services Science, CLOSER 2025

作者： Krechowicz, Adam Faculty of Electrical Engineering Automatic Control and Computer Science Kielce University of Technology al. 1000-lecia PP 7 Kielce Poland

ISBN: (纸本)9789897587474

This paper proposes a framework for real-time monitoring of the power consumption of distributed calculation on the nodes of the cluster. The framework allows to visualize and analyze the provider results based on the context information about the performed calculation. The first part of the framework is devoted to monitoring the power consumption during the execution of machine learning algorithms and the performance of NoSQL storage. The second part is dedicated to the testing of distributed data storage, called Scalable Distributed Two-Layered Data Structure (SD2DS). The results show that the framework can be used in the development of a management system that could schedule computations to take full advantage of renewable energy. Copyright © 2025 by SCITEPRESS - Science and Technology Publications, Lda.

关键词： Cluster computing

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