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Chinese control Conference (CCC)

作者： Lei Cao Erhan Yumuk Clara-Mihaela Ionescu Guo-Ping Liu Department of Control Science and Engineering Harbin Institute of Technology Harbin P. R. China Department of Electromechanical Systems and Metal Engineering Dynamical Systems and Control Research Group Ghent University Ghent Belgium Department of Control and Automation Engineering Istanbul Technical University Istanbul Turkey Center for Control Science and Technology Southern University of Science and Technology Shenzhen P. R. China

In this paper, the tracking control problem for networked control system (NCS) under communication delays is investigated. In order to realize the tracking of the NCS, an event-triggered predictive control strategy is provided to compensate for the delays and achieve stability. Both tracking performance and input increments are considered in the proposed cost function. Based on the incremental inputs, an event-triggered mechanism is established to reduce the communication costs. The efforts of different parameters are illustrated through the results of the simulation, and the effectiveness of the proposed control scheme is also validated from the application of the networked lighting setup.

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Coordinated control of distributed multi-agent systems using event-triggered predictive control strategy

Coordinated control of distributed multi-agent systems using...

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Fully Actuated System Theory and Applications (CFASTA), Conference on

作者： Lei Cao Chuanguo Chi Erhan Yumuk Clara-Mihaela Ionescu Guo-Ping Liu Department of Control Science and Engineering Harbin Institute of Technology Harbin P. R. China Department of Electromechanical Systems and Metal Engineering Dynamical Systems and Control Research Group Ghent University Ghent Belgium Department of Control and Automation Engineering Istanbul Technical University Istanbul Turkey Center for Control Science and Technology Southern University of Science and Technology Shenzhen P. R. China

In this paper, the coordinated control problem for a class of distributed networked multi-agent systems (NMASs) is studied. An event-triggered predictive coordinated control (ETPCC) scheme is proposed to compensate for the communication delay between controllers as well as to reduce the communication frequency. With the aim of reducing the frequency of data transfer among controllers and saving resources, a distributed event-triggered condition is designed to decide when to transfer information. Further, a cost function using predicted values is proposed to measure the cooperative performance among the agents, and the required control increment for each agent is obtained by minimizing the cost function. Simulation and experimental examples show that the proposed ETPCC strategy works effectively.

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Performance Evaluation and Comparative Study of Single and Two Stages Inverters Used in Grid-Connected Photovoltaic systems

Performance Evaluation and Comparative Study of Single and T...

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Electrical Engineering and Automatic control (ICEEAC), International Conference on

作者： Fayçal Hadj Mihoub Sidi Moussa Abdelkader Morsli Abdelhalim Tlemçani Hocine Belmili Hassan Nouri Electrical Engineering and Automation Research Laboratory (LREA) University of Medea Medea Algeria Solar Equipment Development Unit (UDES) Renewable Energy Development Center (CDER) Bou-Ismail Tipaza Algeria Department of Engineering Design and Mathematics Power Systems Electronics and Control Research Group Bristol U.K

ISBN: (数字)9798350349740

ISBN: (纸本)9798350349757

This comparative study between two topologies of three-phase grid-connected photovoltaic inverters, namely the single-stage inverter and the two-stage inverter, was modeled and simulated using Matlab Simulink. The control of the two-level inverter is by the synchronous reference frame method, and the tracker of the PV array power is by the incremental conductance MPPT algorithm. In this paper, performance analysis of PV grid-connected inverters based on the overall efficiency and harmonic distortion. The simulation results indicate satisfaction with the quality of the current and voltage inj ected into the electrical grid, where THD is according to the recommendations of the IEEE-519 standard, and both topologies are efficient, but the single-stage inverter performs better than the two-stage inverter.

关键词： Photovoltaic systems Total harmonic distortion Software packages Inverters Mathematical models Topology Voltage control

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Learning Stable and Robust Linear Parameter-Varying State-Space Models

arXiv

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arXiv 2023年

作者： Verhoek, Chris Wang, Ruigang Tóth, Roland Control Systems Group Eindhoven University of Technology Netherlands The Australian Centre for Robotics The School of Aerospace Mechanical and Mechatronic Engineering The University of Sydney Australia The Vehicle Industry Research Center Széchenyi István University Hungary

This paper presents two direct parameterizations of stable and robust linear parameter-varying state-space (LPV-SS) models. The model parametrizations guarantee a priori that for all parameter values during training, the allowed models are stable in the contraction sense or have their Lipschitz constant bounded by a user-defined value γ. Furthermore, since the parametrizations are direct, the models can be trained using unconstrained optimization. The fact that the trained models are of the LPV-SS class makes them useful for, e.g., further convex analysis or controller design. The effectiveness of the approach is demonstrated on an LPV identification problem. © 2023, CC BY-NC-SA.

关键词： Optimization

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Fuzzy PID control for suppressing stick-slip vibration of drill-string system

Fuzzy PID control for suppressing stick-slip vibration of dr...

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2022 Chinese Automation Congress, CAC 2022

作者： Hu, Shuaikang Lu, Chengda Wu, Min He, Zhaoqing Song, Haitao Li, Wangnian School of Automation China University of Geosciences Wuhan430074 China Hubei Key Laboratory of Advanced Control Intelligent Automation for Complex Systems Wuhan430074 China Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Wuhan430074 China Xi’an Research Institute Co. Ltd. China Coal Technology and Engineering Group Xi’an710077 China

ISBN: (纸本)9781665465335

In this paper, a fuzzy PID (Proportional Integral Derivative) controller is introduced to suppress the stick-slip vibration present in the drilling process. First, the dynamical model of stick-slip vibration is composed of the multi-DOF (Degree-Of-Freedom) drill-string model and the Karnopp model describing the interaction of the drill bit with the rock. Then, stability analysis is made for the initial PID parameters of our controller. To suppress the stick-slip vibration and at the same time mitigate the effects of the stratigraphic environment variation on the control performance, the fuzzy adaptive algorithm is chosen as the method of optimization controller parameters. From the experimental results, it is clear that our controller has good control performance in the complex and changing stratigraphic environment. © 2022 IEEE.

关键词： controllers

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Rupture of a surfactant-laden draining thin film

arXiv

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arXiv 2023年

作者： Vivek, Atul S. Dey, Ranabir Dixit, Harish N. Control Actuation Systems Group Vikram Sarabhai Space Center Indian Space Research Organisation India Department of Mechanical & Aerospace Engineering Indian Institute of Technology Hyderabad India Polymers & Biosystems Engineering Center for Interdisciplinary Programs Indian Institute of Technology Hyderabad India

Surfactant-laden thin liquid films overlaid on solid substrates are encountered in a variety of industrial and biological settings. As these films reach submicron thickness, they tend to become unstable owing to the influence of long-range dispersion forces. In the current study, we investigate how gravitational drainage affects the stability attributes of such thin liquid films. Using scaling arguments, we demonstrate that gravity and dispersion forces can exert their influence simultaneously over a wide range of film thicknesses. In the lubrication limit, we carry out linear stability analysis and nonlinear simulations to understand the evolution of draining thin films. Linear stability indicates the existence of two unstable modes and two cut-off wavenumbers, as opposed to a single unstable mode and a unique cut-off wavenumber observed in stationary films. It is also found that surfactant-laden flowing films are more stable than stationary films with surfactants as well as draining films with clean interfaces. The origin of stabilization is identified as the enhanced surfactant perturbations generated due to drainage. We demonstrate that films exhibiting intermediate levels of surfactant activity and significant drainage exhibit the lowest rates of disturbance growth, leading to extending the time of rupture. © 2023, CC BY-NC-SA.

关键词： Surface active agents

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Improving generative model-based unfolding with Schrödinger bridges

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Physical Review D 2024年第7期109卷 076011-076011页

作者： Sascha Diefenbacher Guan-Horng Liu Vinicius Mikuni Benjamin Nachman Weili Nie Physics Division Lawrence Berkeley National Laboratory Berkeley California 94720 USA Autonomous Control and Decision Systems Laboratory Georgia Institute of Technology Atlanta Georgia 30332 USA National Energy Research Scientific Computing Center Berkeley Lab Berkeley California 94720 USA Berkeley Institute for Data Science University of California Berkeley California 94720 USA Machine Learning Research Group NVIDIA Research

Machine learning-based unfolding has enabled unbinned and high-dimensional differential cross section measurements. Two main approaches have emerged in this research area; one based on discriminative models and one based on generative models. The main advantage of discriminative models is that they learn a small correction to a starting simulation while generative models scale better to regions of phase space with little data. We propose to use Schrödinger bridges and diffusion models to create sbunfold, an unfolding approach that combines the strengths of both discriminative and generative models. The key feature of sbunfold is that its generative model maps one set of events into another without having to go through a known probability density as is the case for normalizing flows and standard diffusion models. We show that sbunfold achieves excellent performance compared to state of the art methods on a synthetic Z+jets dataset.

关键词： Machine learning Particle detectors Probability theory

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A fast and effective maximum power point tracking method under various weather conditions for grid-connected photovoltaic systems

A fast and effective maximum power point tracking method und...

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IEEE Conference on Power Electronics and Renewable Energy (CPERE)

作者： Karam Khairullah Mohammed Saad Mekhilef Muhyaddin Rawa Control and Mechatronics Engineering Department School of Electrical Engineering Universiti Teknologi Malaysia Johor Bahru Malaysia School of Software and Electrical Engineering Faculty of Science Engineering and Technology Swinburne University of Technology Hawthorn VIC Australia Smart Grids Research Group Center of Research Excellence in Renewable Energy and power Systems King Abdulaziz University Jeddah Saudi Arabia Department Of Electrical and computer Engineering Faculty of engineering K. A Care Energy Research and Innovation Center King Abdulaziz University Jeddah Saudi Arabia

Photovoltaic systems (PV) are exposed to various weather conditions during the day and getting the maximum power of a PV system is one of its major challenges. While the conventional methods take time to track the maximum power accompanying the fluctuation around the maximum power. Consequently, several metaheuristic algorithms have been presented to overcome the fluctuating around the maximum power. On the other hand optimization methods will search into entire the PV curve to extract the maximum power. This leads to unnecessary search points during the uniform shading conditions which decrease the convergence speed towards the maximum power. In overcoming the tracking time issues as well as the capacity to distinguish between uniform and partial shading conditions, a quick and efficient tracking technique connected to the grid system was presented in this paper. The proposed system, has been tested using MATLAB/SIMULINK, which includes a boost converter to track the maximum power with a sampling time of 0.05 seconds, While a voltage source converter (VSC) is used to transfer the power generated by solar panels to the grid. The simulation results demonstrated that the proposed method was successfully implemented, with an average tracking time of 0.412 s for different weather conditions. Moreover, the comparison with the conventional method of perturb and observe (P& O) has been presented to evaluate the proposed method’s efficiency.

关键词： Maximum power point trackers Renewable energy sources Fluctuations Simulation Optimization methods Power electronics Solar panels

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A Hybrid Si-SiC Flyback Converter for Auxiliary Power Supplies in DC Ship Grids

A Hybrid Si-SiC Flyback Converter for Auxiliary Power Suppli...

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Annual IEEE Conference on Applied Power Electronics Conference and Exposition (APEC)

作者： Sohaib Qazi Lucas de Oliveira Baumann Ki-Bum Park Francisco Canales Thiago Batista Soeiro Power Electronics and EMC Group University of Twente Enschede The Netherlands Power Electronics Machines and Control Group University of Nottingham Nottingham United Kingdom Power Electronic Systems Laboratory ETH Zurich Zurich Switzerland Korea Advanced Institute of Science and Technology Daejeon South Korea ABB Corporate Research Center Baden-Dättwil Switzerland

In this paper, a flyback converter-derived two-switch topology is proposed for use in auxiliary power supplies for dc ship grids. The Si-SiC hybrid converter offers a low-cost solution compared to the conventional two-switch flyback (TSF) topology for high step-down dc/dc converters. Through the introduction of additional circuitry, the voltage stress on the semiconductors is alleviated, thereby enabling the use of cheaper semiconductor devices. The design of the converter, its steady-state operation, and a performance comparison with the conventional TSF converter are presented in this paper through an analytical study. Moreover, an experimental prototype of a 1500V input to 24V output power supply is developed to validate the operation of the topology.

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RGB Arabic Alphabets Sign Language Dataset

arXiv

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arXiv 2023年

作者： Al-Barham, Muhammad Alsharkawi, Adham Al-Yaman, Musa Al-Fetyani, Mohammad Elnagar, Ashraf Sa’aleek, Ahmad Abu Al-Odat, Mohammad MLALP Research Group University of Sharjah United Arab Emirates Mechatronics Engineering Department The University of Jordan Jordan AppsWave for Information Technology Jordan Department of Computer Science University of Sharjah United Arab Emirates Al-Wefaq Control Systems Doha Qatar Student Guidance Department The University of Jordan Jordan

This paper introduces the RGB Arabic Alphabet Sign Language (AASL) dataset. AASL comprises 7,857 raw and fully labelled RGB images of the Arabic sign language alphabets, which to our best knowledge is the first publicly available RGB dataset. The dataset is aimed to help those interested in developing real-life Arabic sign language classification models. AASL was collected from more than 200 participants and with different settings such as lighting, background, image orientation, image size, and image resolution. Experts in the field supervised, validated and filtered the collected images to ensure a high-quality dataset. AASL is made available to the public on Kaggle.1 © 2023, CC BY.

关键词： Classification (of information)

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