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Thermal Cycling Effect in a Traction Inverter for Star-connected and Open-end Winding Permanent Magnet Synchronous Motors with Nearly Constant Losses Current Regulation 29

Thermal Cycling Effect in a Traction Inverter for Star-conne...

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29th International Workshop on Electric Drives: Advances in Power Electronics for Electric Drives, IWED 2022

作者： Ali, Yousef Kulik, Egor Anuchin, Alecksey Do, Duy Hiep Moscow Power Engineering Institute Department of Electric Drives Moscow Russia Thuyloi University Department of Automation and Control Engineering Hanoi Viet Nam

ISBN: (纸本)9781665467865

One of the causes of faults in the electric drive is the failure of the power semiconductor module. Semiconductors degrade under the effect of thermal cycles. Thermal aging of materials occurs due to temperature difference between the elements of the power module as well as difference of their thermal expansion coefficients, which eventually leads to the destruction of the power module construction. The influence of thermal cycles is most expressed in traction drives, which are characterized by modes with low speeds and variation of commanded torque in time. This article considers a BMW i3 electric drive model and an open-end winding drive with Nearly Constant Losses Current Regulation for evaluating thermal cycles in a power module. The new European driving cycle was used as a test cycle for both drives. It is shown how the proposed algorithm makes it possible to reduce the thermocycling effects in semiconductor devices. © 2022 IEEE.

关键词： Thermal cycling

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Improved Performance by Designing and Building a 1.92 Tbps ROF System Using DWDM with External Modulation and DCF 2

Improved Performance by Designing and Building a 1.92 Tbps R...

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2nd International Conference on Advances in engineering Science and Technology, AEST 2022

作者： Lazim, Mariam Hammadi, Ali Mahdi Al-Askery, Ali Middle Technical University Department of Computer Engineering Baghdad Iraq Middle Technical University Department of Control and Automation Technical Engineering Baghdad Iraq

ISBN: (纸本)9798350334906

Telecommunication technology is rapidly evolving, accompanied by an increase in service requirements such as higher bandwidth and service accessibility. Transferring data at high speeds and the system performance are second to none. DWDM (Dence Wavelength Division Multiplexing) can be used to meet these requirements, but it is not the only option. Long-distance transmission using DWDM systems often experiences signal degradation, which can degrade the system performance. An EDFA (Erbium-Doped Fiber Amplifier) can be used to overcome signal degradation. OptiSystem 18.0 is the DWDM link model used in this study, with a DWDM design that uses 48 channels at an average bit rate per channel of 40 Gbps. A channel spacing of 200 GHz was used. At a 50-km SMF (single-mode fiber) length, the system quality increased in terms of power and frequency spacing. With the EDFA amplifier, the linkage is 180 km long, 240 km long, and 300 km long. Changes in laser power of 10 dB were used in the study. According to the results of the analysis, power changes affect the performance of the system. DWDM with a laser power of 10 dB complies with the values of the standards for the Q factor (Quality Factor) and the BER Min Bit Error Rate parameters. The highest Q factor at a distance of 180 km is 47.008 and BER is 0 with a wavelength of 1498.213nm. The highest Q factor at a distance of 240 km is 28.19 and BER is 3.32092 ∗ 10-175 and the wavelength is 1554.134nm. The highest Q factor at a distance of 300 km is 24.9, with BER equal to 3.66154 ∗ 10-138, and the wavelength being 1565.495nm. According to this study, the higher the laser power used, the better the performance of the system. © 2022 IEEE.

关键词： Single mode fibers

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Design and control of a Magnetic-Wheeled Climbing Robot for Vertical Steel Surfaces: Motor Positioning Performance Through Model Reference Adaptive control

Design and Control of a Magnetic-Wheeled Climbing Robot for ...

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International Carpathian control Conference (ICCC)

作者： Claudia Fernanda Yaşar Buse Tacal Ucun Levent Ucun Department of Control and Automation Engineering Yildiz Technical University Istanbul Türkiye

ISBN: (数字)9798350350708

ISBN: (纸本)9798350350715

Climbing robots capable of performing activities on vertical steel walls are frequently utilized in the maintenance of high-rise structures and unsafe situations for human workers, including bridges, ships, liquid tanks, chimneys, pipelines, nuclear facilities, and wind turbines. A climbing robot outfitted with the necessary equipment performs activities such as monitoring, cleaning, search and rescue, and more. The fundamental aim is to design a sturdy and safe robotic system with an adhesion-to-the-wall approach that can move on the surface while carrying the essential sensing system, actuation, and drive system as power cables or suppliers. The principal restrictions are the large forces that appear in the system and directly affect the motors. This paper presents a climbing robot design with magnetic wheels powered by a direct current motor; a simplified model with experimental parameter identification is utilized, and a model incorporating all forces is used to develop and test a model reference adaptive controller. Coulomb friction, magnetic forces that hold the system to the wall, and the gravity force are defined as the parts of the overall disturbance. A well-designed motion controller must be accurate enough to drive the robot's trajectory while also being robust enough to withstand overall disturbances. It must also take into account the limited control signal and saturation related with the servomotors. MATLAB/Simulink is used to identify experimental parameters and simulate various control scenarios.

关键词： Adaptation models Parameter estimation Wheels Climbing robots Robot sensing systems Mathematical models Steel

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Exploring alterations of brain networks of AD patients using WTC method

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IEEE Intelligent Systems 2023年 1-1页

作者： Yapeng, Li Qin, Yuanyuan Chen, Xi Li, Wei Department of Control Science and Engineering Wuhan Department of Radiology Wuhan School of Automation Wuhan

Objective: To explore the influences of different frequency bands on preprocessing of resting-state fMRI datasets used by the Wavelet Transform Coherence (WTC) method, and to study changes in the functional brain networks of AD patients. Method: Resting-state fMRI datasets of 10 AD patients and 11 healthy controls were collected in this study and time series of 90 brain regions defined by AAL (Automated Anatomical Labeling) were exacted after preprocessing. Wavelet transformation was performed for each time series, and a functional brain network were established in different frequencies (0.125Hz, 0.0625Hz) using the WTC (Wavelet Transform Coherence) method. The topology parameters of networks, containing global efficiency, clustering coefficient, average short paths length and small world property were calculated and averaged within each group. Result: The results imply that there are significant differences of topology parameters in networks of different frequencies. Likewise, statistical analysis of topology parameters of AD and HC (Healthy controls) show that global efficiency, clustering coefficient and small world properties of AD all decreased by varying degrees, while the short path length of AD remained longer. Conclusion: Our research provides a theoretical basis for the choice of filter bands for data preprocessing in functional magnetic resonance imaging. The findings may serve as indicators for early diagnosis of AD patients. IEEE

关键词： Real time systems

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Effect of Solar Cell Interconnections on the Output of Solar UAV with 3D Curved Photovoltaics 2

Effect of Solar Cell Interconnections on the Output of Solar...

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2nd IEEE International Power Electronics and Application Symposium, PEAS 2023

作者： Jia, Wei Zhang, Xiaobin Lei, Tao Yu, Haoliang Yao, Wenli Qu, Yan School of Automation Northwestern Polytechnical University Xi'an China Suzhou Tongyuan Software and Control Technology Co. Ltd Knowledge Engineering Department Suzhou China

ISBN: (纸本)9798350313765

The solar-powered unmanned aerial vehicle (SUAV) utilizes a Curved Photovoltaic Array (CPVA) mounted on its wing surface to harness solar energy during daylight hours, storing any excess energy in the battery for nocturnal use. However, the irregularity of the wing surface pose challenges for accurately modeling the SUAV's photovoltaic energy yield and calculating the output of photovoltaic power. To maximize the photovoltaic output of the solar UAV, it is crucial to design a CPVA interconnection tailored to a specific airfoil and optimize the hardware to minimize the impact of the wing's curvature on photovoltaic performance. This paper presents a CPVA model and conducts an analysis of the Maximum Power Point Tracking (MPPT) output for different photovoltaic configurations, demonstrating more efficient configurations that yield higher outputs. The results show that the proposed Near Layout (NL) configuration achieves a significant increase of 6%10% in all-day energy for solar aircraft operating in mid-latitude regions compared to the conventional configuration of the ideal planar wing model. © 2023 IEEE.

关键词： curved PV MPPT photovoltaic array configuration photovoltaic modeling solar UAV

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Exchange Strategies for Multi-Colony Ant Algorithms in Dynamic Environments 13

Exchange Strategies for Multi-Colony Ant Algorithms in Dynam...

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13th IEEE Congress on Evolutionary Computation, CEC 2024

作者： Mavrovouniotis, Michalis Li, Changhe Yazdani, Danial Handjimitsis, Diofantos Eratosthenes Centre of Excellence Limassol Cyprus Cyprus University of Technology Department of Civil Engineering and Geomatics Limassol Cyprus School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan China University of Technology Sydney Faculty of Engineering & Information Technology Sydney Australia

ISBN: (纸本)9798350308365

In dynamic optimization problems where optimal solutions change over time, traditional ant colony optimization (ACO) algorithms face limitations. This study explores the adaptation of multi-colony ACO algorithms, known for their enhanced search capabilities in stationary problems, to tackle optimization problems in dynamic environments. Various strategies for exchanging information between colonies, which is a critical factor influencing algorithm performance, are investigated. Using the dynamic traveling salesman problem as a foundation, we generate test cases to reflect real-world complexities. Our results on a set of problem instances reveal that the choice of communication strategy between colonies significantly impacts the adaptability and efficiency of multi-colony ACO algorithms in tracking moving optimum. © 2024 IEEE.

关键词： Ant colony optimization

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A Distributed Cooperative Tracking Algorithm for the Interception of Small Patrol UAVs 42

A Distributed Cooperative Tracking Algorithm for the Interce...

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42nd Chinese control Conference, CCC 2023

作者： Yang, Haorui Liu, Yinghan Zhang, Jiawei Wang, Hui Xu, Hanhui School of Aerospace Engineering Beijing Institute of Technology Beijing100081 China School of Automation Beijing Institute of Technology Beijing100081 China Institute of Navigation and Control Technology Control Department Beijing100089 China

ISBN: (纸本)9789887581543

In this paper, a distributed cooperative tracking algorithm is proposed for the small patrol UA V target tracking problem. By setting up a sensor network to realize the communication between missile clusters, we introduce a weighted information fusion and distribution method for multiple sensor nodes. Meanwhile, a trajectory shaping guidance law is derived for the three-dimensional space maneuver target striking problem. In the scenario of multi-missile UA V target interception, the simulation of multi-missile tracking and the striking process is completed to achieve accurate estimation of target position, velocity, and acceleration. The effectiveness and superiority of this cooperative tracking algorithm are verified through extensive simulations and comparisons. © 2023 Technical Committee on control Theory, Chinese Association of automation.

关键词： Sensor nodes

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Guide for Stabilization and Heuristic Optimization of Second-order Systems controlled by P/I-delayed controllers 11

Guide for Stabilization and Heuristic Optimization of Second...

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11th IEEE International Conference on Intelligent Systems, IS 2022

作者： Strmiska, Martin Pekar, Libor Araujo, Jose Mario Tomas Bata University Department of Automation and Control Engineering Zlin Czech Republic Federal Institute of Education Science and Technology of Bahia Department of Automation and Systems Salvador Brazil

ISBN: (纸本)9781665456562

The present paper shows the procedure for the stabilization and subsequent optimization of second-order systems using a proportional plus integral delayed controller. Stabilizing closed-loop control systems using a controller comprehends several techniques to increase the control circuit's stability. Even in some simple second-order plants, the classical proportional integral controller cannot be applied to pursue closed-loop stability. However, the design requires constant reference tracking capability, for example. Moreover, if there is a time delay in the feedback loops inside a controlled system, the system has an infinite spectrum - infinitely many roots (poles);this degrades the control's quality, especially in terms of stability, robustness, and oscillation response. For these reasons, it is also necessary to optimize the transient response of the system. The main objective of this paper is to provide a guide for optimal control of second-order systems controlled by a proportional integral-delayed controller. Some examples are chosen as benchmarks to verify the effectiveness of the stabilization and subsequent heuristic optimization. In future research, we would like to focus on implementing selected modern optimization algorithms for solving non-smooth, non-convex, and non-Lipschitz optimization problems. © 2022 IEEE.

关键词： Time delay

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Detection of Termite Nests in Dams Using Ground Penetrating Radar Based on Deep Learning 20

Detection of Termite Nests in Dams Using Ground Penetrating ...

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20th International Conference on Ground Penetrating Radar, GPR, 2024

作者： Peng, Jiao Xue, Wei Wang, Wenkai Song, Junlei Zhou, Feng Huang, Pengchun Zhang, Zhixuan Zhang, Feng Zhang, Xu Chen, Longjia Sun, Li School of Automation China University of Geosciences Wuhan430074 China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems China Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education China Dam Safety Monitoring and Termite Control Center of Hubei Provincial Department of Water Resources China Key Laboratory of Termite Control Ministry of Water Resources China School of Mechanical Engineering and Electronic Information China University of Geosciences Wuhan China

Termites have always been one of the major hidden dangers to the operational safety of dams. Traditional detection methods such as manual inspection and termite baiting have limitations in terms of efficiency and accuracy. To solve the problems, paper proposes a termite nest detection method based on ground penetrating radar (GPR) and deep learning. First, the simulated GPR data are generated using gprMax software, and the real data are collected using a GPR at several dams. Subsequently, the YOLOv8 deep neural network is employed for termite nest recognition in GPR images. The experimental results show that the proposed model can achieve the mean average precision (mAP) of 0.96 and a detection speed of 53.76 frames per second (FPS). © Published under licence by IOP Publishing Ltd.

关键词： Deep neural networks

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Consensus control of Multi-Agent Systems Using Fault-Estimation-in-the-Loop:Dynamic Event-Triggered Case

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IEEE/CAA Journal of Automatica Sinica 2022年第8期9卷 1440-1451页

作者： Yamei Ju Derui Ding Xiao He Qing-Long Han Guoliang Wei Shanghai Key Lab of Modern Optical System the Department of Control Science and EngineeringUniversity of Shanghai for Science and TechnologyShanghai 200093China Department of Control Science and Engineering University of Shanghai for Science and TechnologyShanghai 200093China School of Science Computing and Engineering TechnologiesSwinburne University of TechnologyMelbourneVIC 3122Australia Department of Automation BNRistTsinghua UniversityBeijing 100084China College of Science University of Shanghai for Science and TechnologyShanghai 200093China

The paper develops a novel framework of consensus control with fault-estimation-in-the-loop for multi-agent systems(MASs)in the presence of faults.A dynamic event-triggered protocol(DETP)by adding an auxiliary variable is utilized to improve the utilization of communication ***,a novel estimator with a noise bias is put forward to estimate the existed fault and then a consensus controller with fault compensation(FC)is adopted to realize the demand of reliability and safety of addressed ***,a novel consensus control framework with fault-estimation-in-the-loop is developed to achieve the predetermined consensus performance with the l_(2)-l_(∞)constraint by employing the variance analysis and the Lyapunov stability ***,the desired estimator and controller gains are obtained in light of the solution to an algebraic matrix equation and a linear matrix inequality in a recursive way,***,a simulation result is employed to verify the usefulness of the proposed design framework.

关键词： Consensus control dynamic event-triggered protocol(DETP) fault compensation(FC) fault estimation multi-agent systems(MASs)

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