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2nd IEEE International Conference on system analysis and Intelligent Computing, SAIC 2020

作者： Kutsenko, Alexander Kovalenko, Sergii Tovazhnyanskyy, Vladimir Kovalenko, Svitlana National Technical University 'Khpi' Dept. of System Analysis and Information-Analytical Technologies Kharkiv Ukraine National Technical University 'Khpi' Dept. of Software Engineering and Management Information Technologies Kharkiv Ukraine

ISBN: (纸本)9781728190822

In the paper a two-stage method for the synthesis of mathematical models of thermal processes of heated buildings on the basis of a systems approach is proposed and substantiated. In the first s tage t he b uilding i s c onsidered a s a s ystem of interconnected heated rooms divided by partition walls and separated from the environment by an external enclosure. In the second stage, the external and partition walls are presented in a form of a discrete system of interconnected flat elements. The proposed approach allows to model the thermal process of a building in the form of a finite-dimensional s ystem of ordinary linear differential equations, focused on the application of methods of modern control theory. © 2020 IEEE.

关键词： Ordinary differential equations

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Computational characterization of a Gurney flap on a DU91(2)W250 airfoil

Computational characterization of a Gurney flap on a DU91(2)...

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2018 International Conference on Materials and Energy, ICOME 2018

作者： Fernandez-Gamiz, Unai Errasti, Iñigo Zulueta, Ekaitz Lopez Guede, José Manuel Boyano, Ana Nuclear Eng. and Fluid Mechanics Dept. Vitoria01006 Spain Automatic Control and System Engineering Dept. Vitoria01006 Spain Mechanical Engineering Dept. Vitoria01006 Spain

The considerable increase of wind turbine rotor size and weight in the last years has made impossible to control as they were controlled 20 years ago. The cost of energy is an essential role to maintain this type of energy as a viable alternative in economic terms with traditional or other renewable energies. Through the last decades many different flow control devices have been developed. Most of them were shaped for aeronautical issues and this was its first research application. Currently researchers are working to optimize and introduce these types of devices in multi megawatt wind turbines. Gurney flap (GF) is a vane perpendicular to the airfoil surface with a size between 0.1 and 3% of the airfoil chord length, placed in the lower or upper side of the airfoil close to the trailing edge of the airfoil. When GFs are appropriately designed, they increase the total lift of the airfoil while reducing the drag. Thanks to the implementation of the of this flow control device the efficiency of a wind turbine improves, which results on an increase in the power generation. © The Authors, published by EDP Sciences, 2020.

关键词： Airfoils

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Modeling and control of a half Car Active Suspension system using Sliding Mode controller and Linear Quadratic Regulator controller

Modeling and Control of a half Car Active Suspension System ...

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Renewable Energy & Sustainability (ieCRES), International engineering Conference on

作者： Abdussalam Ali Ahmed Hisham.F. A. Ramadhan Mohamed El Malki Yasser Fathi Nassar Mechanical Engineering Department Bani Waleed University Bani Waleed Libya Control System Engineering College of Electronic Technology Bani Walid Libya Department of Physics Faculty of Sciences Mohammed First University Oujda Morocco Mechanical and Renewable Energy Eng. Dept. Wadi Alshatti University Brack Libya

This paper illustrates the use of two distinct control strategies. Namely, the Sliding Mode control (SMC) and a Linear Quadratic Regulator (LQR) controller to monitor and handle the suspension system vibrations that occurred. We used a half car suspension model with (4DOF). The necessary suspension performance attributes, such as ride comfort, suspension deflection and car handling require a comprehensive control system. Three components make up this control system, which is carried out using the MATLAB application: the controller, the suspension system model, and input signals (road profile and actuator force). A comparison of the half car active suspension system LQR and SMC controllers as well as the uncontrolled suspension system is presented.

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system design priority order considering uncertainty in early stages 41

System design priority order considering uncertainty in earl...

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41st Computers and Information in engineering Conference, CIE 2021, Held as Part of the ASME 2021 International Design engineering Technical Conferences and Computers and Information in engineering Conference, IDETC-CIE 2021

作者： Kuroyanagi, Takumi Yamada, Shuho Hiramatsu, Shigeki Unesaki, Hiroshi Kondo, Shuichi Aoyama, Kazuhiro Department of Systems Innovation School of Engineering The University of Tokyo Tokyo Japan Integrated Control System Development Div. Mazda Motor Corporation Hiroshima Japan Electronic Platform Development Dept. Mazda Motor Corporation Hiroshima Japan The Research into Artifacts Center for Engineering School of Engineering The University of Tokyo Tokyo Japan

ISBN: (纸本)9780791885376

Herein, we have confirmed the importance of formulating product proposals and product-development processes equipped to cope effectively with uncertainty in the early design stage. The objective of this study was to derive the target performance and design priority order taking into account uncertainties in system design. Following the concept of set-based design, the approach adopted was to secure a set of solutions as design space that satisfy the target variables demands, dividing the design space into several clusters and evaluating each of the clusters, then gradually narrowing the cluster as the design progresses, and finally extracting the solution space that is desirable. Priority order of design was developed based on the strategy of increasing the degree of freedom of the subsequent process. The effectiveness of the proposed method was verified using the model of a plug-in hybrid vehicle. From the results, we confirmed the existence of a trade-off between design and target variables preference and development risk, that it is possible to determine the extent to which the solution space can be narrowed, that the shape of the solution space determines the design priorities, and we were able to derive a desirable design priority order according to the target performance. Copyright © 2021 by ASME

关键词： systems analysis

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Distribution system fault location method using reclosure-generating traveling waves

Distribution system fault location method using reclosure-ge...

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2020 IEEE Power and Energy Society General Meeting, PESGM 2020

作者： Dong, Xinzhou Wang, Haozong Xin, Zeyu Shi, Shenxing Wang, Bin Tsinghua University State Key Lab. of Control and Simulation of Power System and Generation Equipment Dept. of Electrical Engineering Beijing China

ISBN: (纸本)9781728155081

Fault location in distribution systems includes 2 subtasks: fault distance estimation and fault section identification. This paper presents a fault location method based on reclosure-generating traveling waves and system topology. Firstly, the reclosure-generating traveling waves under normal and fault conditions are analyzed to find the traveling wave reflected by fault point, through which the fault distance could be estimated. Secondly, we propose a fault section identification method by comparing real measured traveling waves with simulated traveling waves with different potential fault points. Noticing that only time information of traveling waves rather than their magnitude is necessary, instead of using electromagnetic transient simulation, we also present a simplified simulation algorithm that only focuses on the arrival time of traveling waves based on priority queue. Experiments demonstrate that the proposed method can locate fault points in high accuracy with low computational burden. © 2020 IEEE.

关键词： Location

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Model predictive control of a vehicle using Koopman operator

arXiv

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arXiv 2021年

作者： Cibulka, Vít Haniš, Tomáš Korda, Milan Hromčík, Martin Dept. of Control Engineering Faculty of Electrical Engineering Czech Technical University in Prague Czech Republic CNRS Laboratory for Analysis and Architecture of Systems Toulouse France

This paper continues in the work from Cibulka et al. (2019) where a nonlinear vehicle model was approximated in a purely data-driven manner by a linear predictor of higher order, namely the Koopman operator. The vehicle system typically features a lot of nonlinearities such as rigid-body dynamics, coordinate system transformations and most importantly the tire. These nonlinearities are approximated in a predefined subset of the state-space by the linear Koopman operator and used for a linear Model Predictive control (MPC) design in the high-dimension state space where the nonlinear system dynamics evolve linearly. The result is a nonlinear MPC designed by linear methodologies. It is demonstrated that the Koopman-based controller is able to recover from a very unusual state of the vehicle where all the aforementioned nonlinearities are dominant. The controller is compared with a controller based on a classic local linearization and shortcomings of this approach are discussed. © 2021, CC BY-NC-ND.

关键词： Eigenvalues and eigenfunctions

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An OpenPLC-based Active Real-time Anomaly Detection Framework for Industrial control systems

An OpenPLC-based Active Real-time Anomaly Detection Framewor...

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Chinese Automation Congress (CAC)

作者： Chengxu Zheng Xiaopeng Wang Xiaoyu Luo Chongrong Fang Jianping He The Dept. of Automation Shanghai Jiao Tong University the Key Laboratory of System Control and Information Processing Ministry of Education of China and Shanghai Engineering Research Center of Intelligent Control and Management Shanghai China NSFOCUS Technologies Group Co. Ltd Beijing China

In recent years, the design of anomaly detectors has attracted a tremendous surge of interest due to security issues in industrial control systems (ICS). Restricted by hardware resources, most anomaly detectors can only be deployed at the remote monitoring ends, far away from the control sites, which brings potential threats to anomaly detection. In this paper, we propose an active real-time anomaly detection framework deployed in the controller of OpenPLC, which is a standardized open-source PLC and has high scalability. Specifically, we add adaptive active noises to control signals, and then identify a linear dynamic system model of the plant offline and implement it in the controller. Finally, we design two filters to process the estimated residuals based on the obtained model and use χ 2 detector for anomaly detection. Extensive experiments are conducted on an industrial control virtual platform to show the effectiveness of the proposed detection framework.

关键词： Adaptation models Industrial control Detectors Real-time systems Software Security Task analysis

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A Study on the GAN Algorithm Performance Improvement Method in Motor Failure Diagnosis Using Deep Learning Algorithm

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Transactions of the Korean Institute of Electrical Engineers 2020年第11期69卷 1732-1739页

作者： Han, Ji-Hoon Choi, Dong-Jin Park, Sang-Uk Hong, Sun-Ki Dept. of System Control Engineering Hosed University Korea Republic of Dept. of Information Control Engineering Hoseo University Korea Republic of

When deep learning is applied to motor fault diagnosis, the Generative Adversarial Network (GAN) algorithm is used to compensate for the insufficient number of data. However, the model's performance includes not only classification performance, but also overfitting degree and outlier detection performance. Unlike classification performance, outlier detection performance is affected not only by the amount of data but also by the quality. However, increasing similar data is not the best way to increase the model's overall performance. Therefore, an RMSE-based data evaluation teclinique is proposed to find virtual data that maximizes model performance. It was confirmed that the proposed method helps to improve the outlier data detection performance of the model. © 2020 Korean Institute of Electrical Engineers. All rights reserved.

关键词： Failure analysis

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Using AoI forecasts in communicating and robust distributed model-predictive control

arXiv

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arXiv 2021年

作者： Hahn, Jannik Schoeffauer, Richard Wunder, Gerhard Stursberg, Olaf Control and System Theory Dept. of Electrical Engineering and Computer Science University of Kassel Germany Heisenberg CIT Group Free University of Berlin Dept. of Mathematics and Computer Science Germany

In order to enhance the performance of cyber-physical systems, this paper proposes the integrated design of distributed controllers for distributed plants and the control of the communication network. Conventional design methods use static interfaces between both entities and therefore rely on worst-case estimations of communication delay, often leading to conservative behavior of the overall system. By contrast, the present approach establishes a robust distributed model-predictive control scheme, in which the local subsystem controllers operate under the assumption of a variable communication schedule that is predicted by a network controller. Using appropriate models for the communication network, the network controller applies a predictive network policy for scheduling the communication among the subsystem controllers across the network. Given the resulting time-varying predictions of the age of information, the paper shows under which conditions the subsystem controllers can robustly stabilize the distributed system. To illustrate the approach, the paper also reports on the application to a vehicle platooning scenario. © 2021, CC BY.

关键词： Networked control systems

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Enhancing Wind Speed and Wind Power Forecasting Using Shape-Wise Feature engineering: A Novel Approach for Improved Accuracy and Robustness

arXiv

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arXiv 2024年

作者： Christian, Mulomba Mukendi Kim, Yun Seon Choi, Hyebong Lee, Jaeyoung You, SongHee Dept. of Advanced Convergence Handong Global Univ. Korea Republic of School of Global Entrepreneurship and Information Communication Technology Handong Global Univ. Korea Republic of School of Mechanical control and Engineering Handong Global Univ. Korea Republic of School of Spatial Environment System Engineering Handong Global Univ. Korea Republic of School.of GE and ICT Handong Global Univ. Korea Republic of

Accurate prediction of wind speed and power is vital for enhancing the efficiency of wind energy systems. Numerous solutions have been implemented to date, demonstrating their potential to improve forecasting. Among these, deep learning is perceived as a revolutionary approach in the field. However, despite their effectiveness, the noise present in the collected data remains a significant challenge. This noise has the potential to diminish the performance of these algorithms, leading to inaccurate predictions. In response to this, this study explores a novel feature engineering approach. This approach involves altering the data input shape in both Convolutional Neural Network-Long Short-Term Memory (CNN-LSTM) and Autoregressive models for various forecasting horizons. The results reveal substantial enhancements in model resilience against noise resulting from step increases in data. The approach could achieve an impressive 83% accuracy in predicting unseen data up to the 24th steps. Furthermore, this method consistently provides high accuracy for short, mid, and long-term forecasts, outperforming the performance of individual models. These findings pave the way for further research on noise reduction strategies at different forecasting horizons through shape-wise feature engineering. Copyright © 2024, The Authors. All rights reserved.

关键词： Wind speed

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