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Development and Testing of a Methodology for Studying Digital Instrument Transformers under Conditions of Arc Intermittent Single-Phase Ground Faults

Development and Testing of a Methodology for Studying Digita...

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2023 International Conference on Industrial engineering, Applications and Manufacturing, ICIEAM 2023

作者： Litvinov, Sergey Filatova, Galina Kuzmina, Natalya Ivanovo State Power Engineering University Power Stations Substations and Department Ivanovo Russia Ivanovo State Power Engineering University Electric Power Systems Automatic Control Department Ivanovo Russia

ISBN: (纸本)9781665475952

In Ivanovo State Power engineering University (ISPEU, Ivanovo, Russia) digital instrument current and voltage transformers (DCVTs) has developed. Numerous studies and tests of DCVTs have been carried out;these devices already have operating experience in existing electrical facilities. However, some areas of application of DCVTs require additional research. The article presents a methodology for experimental study of 6(10) kV DCVTs under conditions of arc intermittent single-phase ground faults, a diagram of a test installation, as well as the results of testing the methodology. The article presents the quantitative characteristics of the modes obtained in laboratory conditions. The modes of arc intermittent single-phase ground faults and ferroresonance were simulated using electromagnetic measuring voltage transformers in the installation. However, during the experiments, some shortcomings in the methodology of the experiment were revealed. The article also indicates measures to improve the methodology for conducting further experimental studies of DCVTs. © 2023 IEEE.

关键词： Magnetic resonance

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Design of a Tube Model Predictive controller for Pneumatic Muscle Actuators Servomechanism under Uncertainty 10

Design of a Tube Model Predictive Controller for Pneumatic M...

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10th International Conference on control, Instrumentation and Automation, ICCIA 2024

作者： Zibandehpoor, Mobina Rahmati, Fatemeh Delrobaei, Mehdi Nikoofard, Amirhossein K. N. Toosi University of Technology Faculty of Electrical Engineering Department of Mechatronics Tehran Iran K. N. Toosi University of Technology Faculty of Electrical Engineering Department of Systems and Control Tehran Iran

ISBN: (纸本)9798331509972

Pneumatic muscle actuators (PMAs) are efficient and versatile, mimicking natural muscle-Tendon systems. They are widely used in manufacturing, automotive, and aerospace industries due to their lightweight design, high force-To-weight ratio, and flexibility, making them suitable for delicate tasks and powerful exertions. Their application in industrial and biomechatronic systems highlights their potential to revolutionize automation and human-machine interaction. This research aimed to develop a PMA regulator using the Model Predictive control (MPC) framework. Researchers identified key PMA characteristics and defined attributes for the regulator, ensuring accurate signal tracking, effective uncertainty handling, and real-Time operation. The initial stages involved implementing a proportional-integral-derived (PID) controller, and by integrating a PID block with a linear MPC block, a tube MPC controller was developed to enhance performance. The controllers' responses were tested in noisy environments using a low-pass filter for evaluation. The tube MPC controller demonstrated optimal control, robustness, and expertise in managing uncertainties, making it a reliable choice for system control. © 2024 IEEE.

关键词： Model predictive control

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Adaptive-Optimal control for Reconfigurable Robots

Adaptive-Optimal Control for Reconfigurable Robots

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2023 IEEE International Conference on Device Intelligence, Computing and Communication Technologies, DICCT 2023

作者： Maheshwari, Adya Rautela, Aaditya Rayguru, Madan Mohan Valluru, Sudarshan K. Delhi Technological University Department of Electrical Engineering New Delhi India Delhi Technological University Control of Dynamical Systems and Computation Laboratory Department of Electrical Engineering New Delhi India

ISBN: (纸本)9781665474924

Reconfigurable robots refer to the robotic systems which have the ability to transform their morphological structure to adapt to changes in their surroundings. A specialized control system based upon the dynamic characteristics is required to be modelled so that a vast range of operations can be performed by the reconfigurable robots. Reinforcement learning based technique is therefore considered as a suitable mechanism for carrying out adaptive optimal control for the robotic systems. In this paper, an attempt has been made to model the adaptive optimal control mechanism for a single-link manipulator: a reconfigurable robotic system. The system has been modelled for a dynamic environment. The loss and reward plots are obtained from the simulation of the robotic system by deploying reinforcement learning based techniques with the given controlled input © 2023 IEEE.

关键词： Reinforcement learning

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Computational Fluid Dynamics Analysis on the Improvement of Hybrid Savonius-Darrieus NREL S809 at Various Fluid Flows 4

Computational Fluid Dynamics Analysis on the Improvement of ...

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4th International Conference on High Voltage engineering and Power systems, ICHVEPS 2023

作者： Irawan, Elysa Nensy Sitompul, Sandro Yamashita, Ken-Ichiro Fujita, Goro Shibaura Institute of Technology Functional Control Systems Tokyo Japan Shibaura Institute of Technology Department of Electrical Engineering Tokyo Japan Salesian Polytechnic Department of Electrical Engineering Tokyo Japan

ISBN: (纸本)9798350318678

Among all types of vertical axis wind turbines, Savonius and Darrieus are the most popular to study. Savonius has a very large torque and requires a low wind velocity to start the rotation, but the efficiency is below 20%. Meanwhile, Darrieus is not capable of self-starting if the wind velocity is below 4 m/s, but the efficiency is the best among all types of vertical axis wind turbines, which is around 40-45%. So far, many researchers have applied the hybrid Savonius-Darrieus to combine their performances. However, the conventional hybrid Savonius-Darrieus cannot produce an optimal Power Coefficient at a high Tip Speed Ratio. In this study, an improvement in the performance of the hybrid Savonius-Darrieus has been analyzed using the Computational Fluid Dynamics method at various fluid flows. This improvement was carried out with the aim of obtaining a high Moment Coefficient and Power Coefficient in all turbine Tip Speed Ratios compared to the conventional hybrid Savonius-Darrieus. The hybrid model used is the 2-bladed Savonius as the internal rotor and the 3-bladed Darrieus NREL S809 as the external rotor with a rotor radius ratio of 0.5. Improvements were made by changing the turbine rotation mode from hybrid at a low Tip Speed Ratio to single Darrieus at a high Tip Speed Ratio. This method was tested in the wind velocity range of 3-7 m/s using the Realizable k-e turbulence model, enhanced wall treatment. As a result, the best performance occurs at a wind velocity of 7 m/s, which is a Moment Coefficient value of 110% better than single Darrieus at low TSR and a maximum Power Coefficient value of 50% better than conventional hybrid. © 2023 IEEE.

关键词： Computational fluid dynamics

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Adaptive Fault Detection Scheme Using an Optimized Self-healing Ensemble Machine Learning Algorithm

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CSEE Journal of Power and Energy systems 2022年第4期8卷 1145-1156页

作者： Levent Yavuz Ahmet Soran AhmetÖnen Xiangjun Li S.M.Muyeen Electrical and Computer Engineering Department in Abdullah Gül University Kayseri 38080Turkey Department of Electrical and Computer Engineering College of EngineeringSultan Qaboos UniversityAl-KhoudMuscat123Oman Department of Electrical Engineering Qatar UniversityDoha 2713Qatar State Key Laboratory of Control and Operation of Renewable Energy and Storage Systems China Electric Power Rescarch InstituteBeijing 100192China

This paper proposes a new cost-efficient,adaptive,and self-healing algorithm in real time that detects faults in a short period with high accuracy,even in the situations when it is difficult to *** than using traditional machine learning(ML)algorithms or hybrid signal processing techniques,a new framework based on an optimization enabled weighted ensemble method is developed that combines essential ML *** the proposed method,the system will select and compound appropriate ML algorithms based on Particle Swarm Optimization(PSO)*** this purpose,power system failures are simulated by using the PSCA D-Python *** of the salient features of this study is that the proposed solution works on real-time raw data without using any pre-computational techniques or pre-stored ***,the proposed technique will be able to work on different systems,topologies,or data *** proposed fault detection technique is validated by using PSCAD-Python co-simulation on a modified and standard IEEE-14 and standard IEEE-39 bus considering network faults which are difficult to detect.

关键词： Decision tree(DT) ensemble machine learning algorithm fault detection islanding operation k-Nearest Neighbor(kNN) linear discriminant analysis(LDA) logistic regression(LR) Naive Bayes(NB) self-healing algorithm

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Reference Model Design in Multiple Timescale Adaptive control

Reference Model Design in Multiple Timescale Adaptive Contro...

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AIAA Science and Technology Forum and Exposition, AIAA SciTech Forum 2025

作者： Eves, Kameron Valasek, John Electrical and Computer Engineering Engineering Department Utah Tech University Saint GeorgeUT84770 United States Vehicle Systems and Control Laboratory Aerospace Engineering Department Texas A and M University College StationTX77843-3141 United States

ISBN: (数字)9781624107238

ISBN: (纸本)9781624107238

The method [K]control of Adaptive Multiple-timescale systems (KAMS) has been used as a method of adaptive control for systems with states that evolve at vastly different rates and with uncertain parameters. Prior research on KAMS has shown a relationship between the asymptotic behavior of the reference models and the behavior of the full-order closed-loop system. Poor reference model design can cause steady-state error or instability even if that reference model is acceptable in a single timescale context, due to adverse feedback between the reference models and the fast-state manifold. This paper simplifies KAMS control design and provides insight into multiple timescale reference models by identifying design considerations for the fast and slow reference models. For fast reference models, it is shown that the stability proofs used in KAMS control design necessarily require the manifold to be an asymptotically stable equilibrium of the fast reference model, despite prior work that allowed other possibilities. In the case of a slow reference model that is not asymptotically stable to its reference signal, it is common for the inner connection conditions to be dependent on the reference signal. This can cause the interconnection conditions to be ill-formatted for the application of the stability proofs used in KAMS control design. This paper addresses that case and proposes the use of Raffoul’s condition as a method to prove stability in the sense of Lyapunov. A linear quadrotor attitude stabilization problem is used as a framework for the slow reference model analysis. Results presented in the paper show that 1) the asymptotic stability of the fast reference model is a necessary condition for the KAMS stability proofs used in prior work and 2) Raffoul’s condition is a sufficient condition for Lyapunov sense stability even when the inner connection conditions are ill-formatted for the KAMS stability proofs used in prior work. © 2025, American Institute of Aeronautics

关键词： Model reference adaptive control

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Aspects of Using Rotating Modes of Hydraulic Units in Pump Complexes 5

Aspects of Using Rotating Modes of Hydraulic Units in Pump C...

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5th IEEE International Conference on Modern electrical and Energy System, MEES 2023

作者： Korenkova, Tetyana Kovalchuk, Viktoriya Qawaqzeh, Mohamed Zaidan Kremenchuk Mykhailo Ostrohradskyi National University Department of Systems of Automatic Control and Electric Drive Kremenchuk39600 Ukraine Al-Balqa' Applied University Department of Electrical and Electronics Engineering Al-Salt66110 Jordan

ISBN: (纸本)9798350359787

It is shown that pumping complexes of industrial and communal water supply are complex energy-intensive objects with low controllability in both normal and emergency modes of operation. It is proposed to use reversible modes of operation of turbomechanisms to increase the controllability of pump complex equipment. The structure of the system of active regulation of pump complex parameters with various options for including the adjustable hydroturbine unit has been developed. It is shown that active devices can perform both regulatory and protective functions. A device for controlling and protecting the pumping unit against water hammer based on an active water flow energy quencher is proposed. The algorithm of operation of the software control device of the electrohydraulic equipment protection system against excess pressure in the hydraulic network has been developed. © 2023 IEEE.

关键词： controllability

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control System of an Autonomous Object Tracking Robot 17

Control System of an Autonomous Object Tracking Robot

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17th International Conference on engineering of Modern Electric systems, EMES 2023

作者： Barabas, Tiberiu Silaghi, Helga Spoiala, Dragos Gamcova, Maria University of Oradea Control Systems Engineering and Management Department Oradea Romania Technical University of Kosice Faculty of Electrical Engineering and Informatics Kosice Slovakia

ISBN: (纸本)9798350310634

This paper presents the control system of a mobile robot, capable of detecting, tracking and following an object of a certain color. The mobile robot was created for educational purposes, in the CIM laboratory of the University of Oradea. It is based on a crawler robot, controlled with a Raspberry Pi development system. This system controls the movements necessary for tracking the object: moving forward, backward, left turn or right turn. For detecting and locating the object, the robot is also equipped with a video camera connected to Raspberry Pi. The acquisition and processing of images in real time, provided by the camera, are performed with programming functions provided by the OpenCV (Open Source Computer Vision Library). These functions are implemented in a control program, written in Python language. In order to facilitate the tracking of the images obtained and processed during the movements, the robot has also been provided with a graphic display connected to the Raspberry Pi board. This paper also presents the implementation of a numerical control algorithm used for tracking the objects. © 2023 IEEE.

关键词： Python

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Utilization of Uniform Circular Array for Estimating RF Source Location in Real-time

Utilization of Uniform Circular Array for Estimating RF Sour...

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International Conference on control, Automation and Diagnosis (ICCAD)

作者： Hamad Alsayegh Mohammad Almuhaihi Automatic Control and Systems Engineering Department University of Sheffield Aerospace Engineering Department University of Michigan

ISBN: (数字)9798350361025

ISBN: (纸本)9798350361032

This Radio Frequency (RF) source location estimation scheme utilizes angles of arrival of a signal source acquired from the Multiple Signal Classification (MUSIC) algorithm. In reliance on that as a Maximum Likelihood estimation, the obtained angles are augmented to an adaptive probability distribution function (PDF), which is then employed to estimate the location of the RF emitter by feeding the PDF to an Extended Kalman Filter (EKF). Numerous use cases and theoretical works have been presented in the literature. Some of these papers mention applications regarding implementing DoA algorithms in dynamic platforms like in [9], [10], [11], [12], and [13] mostly all of them use Uniform Linear Array (ULA), four of them working with Estimation of Signal Parameters via Rotational Invariance Technique (ESPRIT), and one with MUSIC Direction of Arrival (DoA) method. In [14], MUSIC was used with a Uniform Circular Array (UCA). However, less coupling has been incorporated with the covariance of measurement error. In this paper, the dynamic 2D DoA MUSIC algorithm used in a platform, applied together with an EKF estimation and coupled with measurement covariance in a simulation environment to precisely locate an RF emitter and provide high-resolution Line-of-Sight (LOS).

关键词： Radio frequency Maximum likelihood estimation Direction-of-arrival estimation Heuristic algorithms Current measurement Estimation Position measurement

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Design of Supervisory Model Predictive control for HVAC systems and Two Zones with Consideration of Energy Efficiency and Thermal Comfort 23

Design of Supervisory Model Predictive Control for HVAC Syst...

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23rd International Conference on control, Automation and systems, ICCAS 2023

作者： Srisurapanon, Panithan Banjerdpongchai, David Chulalongkorn University Center of Excellence in Intelligent Control Automation for Process Systems Faculty of Engineering Department of Electrical Engineering Pathumwan Bangkok10330 Thailand

ISBN: (纸本)9788993215274

This paper presents the design of supervisory model predictive control for HVAC systems and two zones. The supervisory control (SC) is designed to find the optimal reference temperature of each zone. The design criteria consist of the total operating cost (TOC) and the thermal comfort cost (TCC). Then, the model predictive control (MPC) is designed to track the optimal reference signals. When SC and MPC are designed for two zones simultaneously, they are referred to centralized SC and centralized MPC. On the other hand, when SC and MPC are designed for two zones separately, they referred to decentralized SC and decentralized MPC. We then compare the results between the decentralized control and the centralized control. The trade-off curve shows that the performance of centralized control is better than that of decentralized control. In particular, centralized MPC improves the performance in tracking reference signals. Furthermore, TOC of centralized control is lower than that of decentralized control. It can be concluded that the centralized control is appropriate for two zones in terms of the tracking of reference and the electrical charge. © 2023 ICROS.

关键词： Model predictive control

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