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Prescribed-Time Mitigation of False Data Attacks in Microgrid Load Frequency control

IEEE Transactions on Smart Grid 2025年

作者： Abouzeid, Said I. Chen, Y. Zaery, Mohamed Amrr, Syed Muhammad Abdelhameed, Esam H. Engineering Technology Research Center for Electric Vehicle Driving System and Safety School of Automation Engineering University of Electronic Science and Technology of China and Sichuan Province Sichuan Chengdu611731 China Aswan University Faculty of Energy Engineering Electrical Engineering Department Aswan Egypt K.A.CARE Energy Research and Innovation Center Saudi Arabia KFUPM Control and Instrumentation Engineering Department Saudi Arabia Saudi Arabia

Microgrid load frequency control (LFC) operation relies extensively on cyber networks which significantly increases their susceptibility to false data injection attacks (FDIAs) that can undermine microgrid’s stability. This paper proposes a multi-layer control framework that efficiently detects and mitigates false data injected in the actuator and measurements of the LFC. Firstly, an FDIAs detection layer based on an unknown input observer (UIO) utilizing an adaptive threshold has been proposed. An adaptive threshold aims to enhance detection sensitivity and reduce false alarms by distinguishing between actual attacks and temporal discrepancies in observer error caused by internal disturbances. Secondly, to ensure timely and accurate mitigation of FDIAs, an estimation layer utilizing a prescribed-time unknown input observer (PTUIO) has been designed. PTUIO is designed to be robust against unknown inputs and parameter uncertainty. The PTUIO employs periodic time-delayed output to estimate system states and FDIAs within a predefined time. Afterward, a two-layer robust and resilient LFC system was developed. The first layer ensures the rejection of unknown inputs, including load/generation disturbances and FDIAs based on PTUIO estimations. The second layer incorporates robust state feedback control, which stabilizes the microgrid and accurately tracks the frequency reference. The effectiveness of the proposed control system is confirmed through multiple scenarios by simulations and Hardware-in-the-loop (HIL), demonstrating its robustness and reliability in addressing challenges associated with internal disturbances, and FDIAs within the microgrid. © 2010-2012 IEEE.

关键词： Hardware-in-the-loop simulation

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A High Speed Autofocusing system for Micro system Applications

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Journal of Electronic Science and Technology 2016年第1期14卷 73-79页

作者： Phuchong Sripolsaen Pradit Mittrapiyanuruk Pakorn Keawtrakulpong the Deptartment of Control System and Instrumentation Engineering Faculty of EngineeringKing Mongkut’s University of Technology Thonburi (KMUTT) the Department of Mathematics Faculty of ScienceSrinakharinwirot University the Department of Control System and Instrumentation Engineering Faculty of EngineeringKMUTT

In this paper,we present a high speed autofocus system for micro system applications and design a look-up-table based autofocusing algorithm for applications when a target object is always visible,e.g.,manufacturing parts with alignment *** perform an evaluation of 24 focus measures to verify that which focus measure is the best for the look-up-table based *** the evaluation,we find that the Chebyshev moments-based focus measure（CHEB） is the most ***,we also develop a look-up-table based autofocus system that uses CHEB as the focus *** training phase,we offline construct a table from training images of an object that are captured at several lens *** entry of table consists of focus measure computed from image and lens *** working phase,given an input image,the algorithm first computes the focus measure and then finds the best match focus measure from the table and looks up the corresponding lens position for moving it into the in-focus *** algorithm can perform autofocusing within only 2 steps of lens *** experiment shows that the system can perform high speed autofocusing of micro objects.

关键词： High speed autofocusing look-up table micro system

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Robot Vision system for Coordinate Measurement of Feature Points on Large Scale Automobile Part

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Journal of Electronic Science and Technology 2016年第1期14卷 80-86页

作者： Pongsak Joompolpong Pradit Mittrapiyanuruk Pakorn Keawtrakulpong the Department of Control System and Instrumentation Engineering Faculty of EngineeringKing Mongkut’s University of Technology the Department of Mathematics Faculty of ScienceSrinakharinwirot University

In this paper,we present a robot vision based system for coordinate measurement of feature points on large scale automobile *** system consists of an industrial 6-DOF robot mounted with a CCD camera and a *** system controls the robot into the area of feature *** images of measuring feature points are acquired by the camera mounted on the robot.3D positions of the feature points are obtained from a model based pose estimation that applies to the *** measured positions of all feature points are then transformed to the reference coordinate of feature points whose positions are obtained from the coordinate measuring machine（CMM）.Finally,the point-to-point distances between the measured feature points and the reference feature points are calculated and *** results show that the root mean square error（RMSE） of measure values obtained by our system is less than 0.5 *** system is adequate for automobile assembly and can perform faster than conventional methods.

关键词： 3D pose estimation coordinate measurement coordinate measuring robot robot vision vision 3D coordinate measurement

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Optimal Design of Reactive Power PI Regulator for Hydro Power Plants

Optimal Design of Reactive Power PI Regulator for Hydro Powe...

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IEEE International Conference on control Applications

作者： Robert, Gerard Hurtado, Dominique Control System EDF Hydro Engineering Centre France Instrumentation and Control Department EDF National Nuclear Equipments Centre France

ISBN: (纸本)9781424422227

This paper presents an optimal PI controller for Automatic reactive power Regulators (AQR) which equip some French hydro power plants. The developed AQR algorithm participates to secondary voltage control following some control performance criteria required by the Transmission system Operator. controller parameters are calculated by solving a constrained nonlinear optimization that maximizes the robustness of the feedback control while incorporating the control performance specifications. That involves a 'worst case' design approach which takes into account modeling uncertainties and gain variations in the operating domain. Moreover a mere anti-windup strategy has been achieved in the AQR algorithm. Referring to Matlab simulations and measurements carried out on a 110 MVA pilot hydro unit, results are complying with demands.

关键词： Reactive power

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Measurement of surface stress-strain distribution inside a grain of carbon steel via optical microscope

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Measurement 2025年 255卷

作者： I Dewa Made Oka Dharmawan Jinyi Lee Department of Control Instrumentation and Robot Engineering Graduate School of Chosun University Gwangju 61452 Republic of Korea Interdisciplinary Program in IT-BIO Convergence System Chosun University Gwangju 61452 Republic of Korea Department of Electronic Engineering Chosun University Gwangju 61452 Republic of Korea

The advancement of alloys and steel in engineering highlights the critical need for robust methods to ensure structural integrity. While traditional Non-Destructive Testing and Evaluation (NDT/E) techniques provide valuable insights, they often fail to detect pre-existing stress conditions that contribute to fatigue cracks. Recent approaches have addressed this limitation by analyzing stress and strain at the grain level using advanced measurement systems—often based on diffraction techniques—integrated with Finite Element Method (FEM) and Digital Image Correlation (DIC) platforms. However, the application of these techniques for in-service inspections remains limited by challenges in accessibility, cost, and scalability. To overcome these issues, an integrated 2D surface system combining optical microscopy with DIC and grain-level analysis within the FEM framework is proposed. This method enables efficient visualization of grain-level deformation and stress distribution, thereby providing deeper insights into the microstructural behavior of polycrystalline materials under external loads. The proposed methodology is theoretically outlined and validated through simulations and experimental analyses, demonstrating its potential as a practical solution for in-service inspections. Ultimately, this approach is expected to advance inspection techniques by offering an accessible and scalable tool for monitoring microstructural behavior and identifying potential failure mechanisms through surface analysis.

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Comparing Network RTK and Own RTK Base Station for Lateral Tracking in GNSS-Based Navigation: An Autonomous Golf Cart Study 23

Comparing Network RTK and Own RTK Base Station for Lateral T...

引用

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

作者： Duenkwang, Surayuth Ketkarn, Chutimon Wanichphol, Sorravee Panomruttanarug, Benjamas King Mongkut University Technology Thonburi Department of Control System and Instrumentation Engineering Bangkok10140 Thailand

ISBN: (纸本)9788993215274

This study investigates the impact of utilizing a network RTK and our own RTK base station on the lateral tracking performance of a GNSS-based navigation system. The experiment employs an adaptive PID controller and compares the performance of both methods on an autonomous golf cart. The tracking path, composed of straight and curve segments, is manually generated based on the network RTK. The adaptive PID controller, with the gains tuned based on the slope of the path, is used to perform the tracking based on the real-time positioning observed from the network RTK as well as our own RTK base station. The results demonstrate that both network RTK and our own RTK base station achieve acceptable tracking performance, with lateral errors remaining within acceptable limits. Our own RTK base station exhibits slightly lower lateral errors compared to the network RTK, indicating improved tracking accuracy. However, setting up and maintaining our own RTK base station requires a more complex process and additional costs for an extra GNSS receiver. Hence, the choice between the two methods involves a trade-off between enhanced performance and the associated complexities. © 2023 ICROS.

关键词： Base stations

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Fault Tolerant Localization Based on K-means Clustering in Wireless Sensor Networks 6

Fault Tolerant Localization Based on K-means Clustering in W...

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6th IEEE International Conference on Electronics, Computing and Communication Technologies, CONECCT 2020

作者： Bhat, Soumya J Santhosh, K.V. Department of Instrumentation and Control Engineering Centre for Cyber Physical System Manipal Institute of Technology Manipal India

ISBN: (纸本)9781728168289

Wireless Sensor Network (WSN) has been considered as an essential tool for many applications. Most of the applications of WSNs require the location of sensor nodes to be known. But, because of high power consumption and cost, it is not suitable to attach a GPS receiver with every node. For estimating the location of sensor nodes, localization algorithms make use of few location-aware nodes as reference nodes. But, sometimes, these reference nodes can turn faulty. They may estimate their locations wrongly due to software or hardware malfunctions. This affects the localization of the entire network. To overcome this problem, we have reported a fault tolerant localization algorithm called clustering based DV-Hop. This algorithm filters out faulty nodes using K-means clustering and majority voting methods. The performance of the algorithm is then compared with other localization algorithms. The reported algorithm shows better localization accuracies and more stable performance under faulty conditions. © 2020 IEEE.

关键词： K-means clustering

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Genetic algorithms-based gain optimization of a simple learning control for single-phase shunt active filters

Genetic algorithms-based gain optimization of a simple learn...

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作者： Lenwari, Wanchak Department of Control System and Instrumentation Engineering King's Mongkut University of Technology Thonburi Bangkok Thailand

ISBN: (纸本)9781424474530

The repetitive or learning based control has proven to achieve high steady-state performances for control systems. The iterative learning algorithm aims to accomplish zero tracking error without full knowledge of the system model. However, its dynamic behaviors were not satisfied in some conditions particularly under non-periodic disturbances since the control uses the information from the previous iteration to calculate the system input. This paper proposes the investigation of the use of genetic algorithm to optimize the learning gain of a simple proportional-type (P-type) learning control applied to current control for shunt active filters. The merit of the proposed control is its simplicity, potentially suitable for commercial active filters. All design concepts are verified and the results obtained in the simulation confirm the improvement in the dynamic responses during the transient condition while the harmonic control accuracy in steady-state can remain excellent with the proposed control system. ©ICROS.

关键词： Electric current control

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Fall Detection for the Elderly using YOLOv4 and LSTM 19

Fall Detection for the Elderly using YOLOv4 and LSTM

引用

19th International Conference on Electrical engineering/Electronics, Computer, Telecommunications and Information Technology, ECTI-CON 2022

作者： Chutimawattanakul, Pongsatorn Samanpiboon, Pranchalee King Mongkut's University of Technology Thonburi Department of Control System and Instrumentation Engineering Bangkok Thailand

ISBN: (纸本)9781665485845

In elderly society, the falling of the elderly inside the house is the one of the causes of injury or death to the elderly. It negatively affects both the family and the elderly themselves. Therefore, taking care of the elderly at home is extremely important. In this paper, we used YOLOv4 technique to detect posture and LSTM to detect sequence of postures. YOLOv4 is the most efficient detection model compared to other detection models. LSTM is helpful in learning temporal features. Tests with 2 fall datasets showed an efficiency of posture detection by YOLOv4 at 87.88% and YOLOv4 and efficiency of fall detection by combination of YOLOv4 and LSTM at 100%. © 2022 IEEE.

关键词： Fall detection

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Improvement of warning lag time in forward collision warning systems based on multifunctional warnings

Improvement of warning lag time in forward collision warning...

引用

2012 IEEE International Conference on Vehicular Electronics and Safety, ICVES 2012

作者： Thammakaroon, Peachanika Tangamchit, Poj Department of Control System and Instrumentation Engineering King Mongkut's University of Technology Thonburi Bangkok Thailand

ISBN: (纸本)9781467309929

We present an improvement of forward collision warning (FCW) by adding more layers of warning functionality based on five stages of crash timeline. Generally, FCW operates at stage 3, the critical moment before crash. The added functionality is the location-based warning (LW) which warns the driver when driving toward a dangerous spot with high speed. LW operates at stage 2, an open condition to crash which comes from bad driving habit. We propose the use of warning lag time as a performance indicator, which is appropriate for real driving experiment. The warning lag time is defined as the time period between the issue of warning and the execution of brake by a normal driver. We performed real driving experiments with normal drivers and compare their brake actions with warnings from our system. The system with FCW alone achieved an average time lag of 1.47 sec., while the system with both FCW+LW can warn the driver faster with average time lag of 1.32 sec. The accuracy of both systems was about the same at 79%. © 2012 IEEE.

关键词： Brakes

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