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2024 IEEE International Conference on Sensing, Diagnostics, Prognostics, and control, SDPC 2024

作者： Chen, Jingyi Wang, Shenhang Tong, Xiaoxuan Xiang, Gang Yu, Yang Zhan, Ziyuan School of Electronic and Information Engineeer Harbin Institute of Technology Harbin China Beijing Aerospace Automatic Control Institute System Design Department Beijing China Beijing Aerospace Automatic Control Institute Beijing China Beijing Aerospace Automatic Control Institute Department of System Engineering Beijing China

ISBN: (纸本)9798350388855

Task scheduling algorithms are key to research and practice in parallel testing techniques, especially in control system applications. The complexity of control system testing requires higher scheduling efficiency. However, perturbation events caused by test equipment problems, data transmission obstacles, or task changes are almost unavoidable and may reduce the scheduling effectiveness or even lead to system crashes. Therefore, in this paper, based on the analysis of the dynamic test scheduling model, a disturbance factor is designed to judge the urgency of disturbance events for evaluating the dynamic scheduling cycle. On this basis, based on the comprehensive rescheduling index, a suitable adjustment strategy is selected to formulate the dynamic test scheduling scheme. The experimental results show that the algorithm proposed in this paper can achieve fast response capability for different disturbance events and exhibit good adaptivity. © 2024 IEEE.

关键词： Scheduling algorithms

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Evaluation of Theoretical and Empirical Log-Normal Models for Wi-Fi Fingerprint Mapping in Indoor Positioning 6

Evaluation of Theoretical and Empirical Log-Normal Models fo...

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6th IEEE International Conference on Artificial Intelligence in engineering and Technology, IICAIET 2024

作者： Bin Mohamed Ghazali, Mohamed Aizad Kiring, Aroland Mihaylova, Lyudmila Yew, Hoe Tung Chung, Seng Kheau Farm, Yan Yan Faculty of Engineering Universiti Malaysia Sabah Sabah Kota Kinabalu Malaysia University of Sheffield Department of Automatic Control and System Engineering Sheffield United Kingdom

ISBN: (纸本)9798350389692

This paper evaluates both the theoretical and empirical log-normal models for Wi-Fi fingerprint mapping in indoor positioning systems. Wi-Fi fingerprinting, leveraging the ubiquitous IEEE 802.11 protocol, offers a practical solution for indoor localization where Global Positioning system (GPS) is ineffective. It involves generating empirical data by systematically measuring Wi-Fi Received Signal Strength (RSS) within a complex indoor environment and formulating a log-normal path loss model to predict signal behavior. A comparative analysis was conducted between the theoretical model, calibrated with empirical RSS data, and the actual RSS measurements. The results showed that while the theoretical model captured overall signal propagation trends, the empirical data revealed variations due to multipath effects and environmental obstacles. It demonstrated the practical use of Wi-Fi fingerprint mapping, theoretical modeling, and comparative analysis. The findings underscore the importance of empirical validation in refining theoretical models and optimizing deployment strategies for accurate and reliable indoor positioning. Future research should focus on mitigating multipath effects and enhancing the theoretical model accuracy through optimized access point (AP) placement and advanced signal processing techniques. © 2024 IEEE.

关键词： Global positioning system

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Inertia Support Strategy for DC Collecting system of Wind Turbine Generator

Inertia Support Strategy for DC Collecting System of Wind Tu...

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2024 CPSS and IEEE International Symposium on Energy Storage and Conversion, CPSS and ISESC 2024

作者： Liu, Zenyang Sun, Kai Wang, Huan Lu, Junlong Tsinghua University State Key Laboratory of Power System Operation and Control Department of Electrical Engineering Beijing China Institute of Electrical Engineering Chinese Academy of Sciences Renewable Energy Power Generation System Research Department Beijing China

ISBN: (纸本)9798350380514

In wind turbine generators system, lacking of inertia is a common problem. In AC collecting system, some researches have been done to solve this problem. However, in DC collecting system, few researches were done. This paper analyzes the analogies between AC and DC collecting system and the virtual capacitor control corresponding to the virtual synchronous generator control. Small signal models of different precision are proposed considering the LLC resonant converter used for stepping-up. The virtual capacitance provided by the control is calculated using the small signal model and this verifies the effectiveness of the control quantitively and demonstrates that the small signal models are useful. © 2024 IEEE.

关键词： Wind Turbine Generators

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EverydayFantasy - A Mobile Computing Application in Mental Healthcare 18

EverydayFantasy - A Mobile Computing Application in Mental H...

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18th Iberian Conference on Information systems and Technologies, CISTI 2023

作者： Triohin, Victor Leba, Monica Ionica, Andreea Cristina University of Petrosani Department of System Control and Computer Engineering Petrosani Romania University of Petrosani Department of Management and Industrial Engineering Petrosani Romania

ISBN: (纸本)9789893347928

The paper proposes a game, EverydayFantasy, based on the principles of serious games, game mechanics and gamification and intended for young people with cognitive behavior issues. The game is a mobile computing application in mental healthcare, in the architecture of which is integrated the connection to a database through a server and the use of dedicated APIs such as the one for locating on the map. The game creates a fantasy environment superimposed on the real environment in which the player is motivated to move, socialize and solve different challenges, all to improve his estimated state. © 2023 ITMA.

关键词： Serious games

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Classification and Signal Detection in Shared Spectrum Using a Deep Learning Method 2

Classification and Signal Detection in Shared Spectrum Using...

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2nd International Conference Computational and Characterization Techniques in engineering and Sciences, IC3TES 2024

作者： Mandala, Vishwanadham Surabhi, Srinivas Naveen R Dolu Selvan, R. Senthamil Indiana University Department of Analytics Data Engineering Lead IN United States General Motors R & D Department of Control System IN United States Department of Electronics and Communication Engineering Tirupati India

ISBN: (纸本)9798350364699

In shared spectrum networks, proper signal type identification is essential for equitable coexistence and effective resource allocation. To increase system throughput and prevent accidents, particularly in situations when the environment is changing quickly, it may be utilised for scheduling gearbox chances. To train deep neural networks, or DNNs, to distinguish coexisting signal kinds without encoding them, researchers use the In-phase/Quadrature (I/Q) sample as input. Two neural networks, one convolutional and one recurrent, are trained using input segments taken from the received signal samples utilising categorical cross-entropy (CE) optimisation. Results for the 5-6 GHz unlicensed band, where LTE LAA, Wi-Fi, and 5G NR-U signals coexist, demonstrate that the suggested architecture is quite accurate. After that, use spectral analysis on the I/Q sequence to boost classification precision even further. More data in the frequency domain may be shown as a spectrogram by using a Short-time Fourier Transform (STFT). Increasing the size of the DNN's input accordingly. Researchers use USRP radios to carry out over-the-air (OTA) tests that validate the efficacy of the suggested detection system. In both software and hardware trials, the suggested method achieves precise categorization. © 2024 IEEE.

关键词： Convolutional neural networks

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Model Predictive control for systems with Limited State Variables

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Russian Electrical engineering 2023年第2期94卷 77-83页

作者： Bogdanov, A.N. Anuchin, A.S. Demidova, G.L. Department of Electric Drive Moscow Power Engineering Institute Moscow111250 Russia Faculty of Control System and Robotics ITMO University St. Petersburg197101 Russia

Abstract: Model predictive control are actively used in industry in high-power electric drives, in which it is permissible to use expensive programmable logic matrices that provide calculations with a prediction horizon of up to ten epochs and a forecast tree of several million variants. However, the computing power of microcontrollers is not enough to implement such systems in a low-power electric drive. The development of microcontrollers is following the path of increasing not only computing power, but also memory, which makes it possible to implement model predictive control systems in practice using lookup table methods for calculating control actions for all combinations of state variables and control actions. The paper shows the possibility of designing control with prediction for two types of electric drives—a DC electric drive and a switched reluctance electric drive—as objects with a small number of state variables, which allows one to fit the precalculated lookup tables of control actions in the memory of the microcontroller. Studies on mathematical models have shown that model predictive control with a finite control set and a single prediction horizon has disadvantages due to variable switching frequency, and control with a continuous control set implemented by the lookup table method allows one to perform control calculations immediately before the start of the next pulse width modulation period, reducing the algorithm execution time by hundreds of times. © 2023, Allerton Press, Inc.

关键词： Forecasting

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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...

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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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Error Dependent Sampling to Reduce Transient Events in Event Based control 3

Error Dependent Sampling to Reduce Transient Events in Event...

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3rd IEEE Industrial Electronics Society Annual On-Line Conference, ONCON 2024

作者： Miguel-Escrig, Oscar Romero-Perez, Julio-Ariel Sanchez-Moreno, Jose Dormido-Bencomo, Sebastian Universitat Jaume I Department of System Engineering and Design Castelló de la Plana Spain Department of Computer Science and Automatic Control Madrid Spain

ISBN: (纸本)9798331540319

One of the objectives of event-based control is the reduction of generated events to perform an appropriate process control. Among the event generation techniques used to this end, those quantifying the error signal can be found more frequently for its simplicity of implementation. However, they entail a drawback in the form of trade-off between event generation and performance. Aiming to reduce the number of events, specifically in the transient response, without degrading the performance, an error dependent sampling scheme is studied in this work. © 2024 IEEE.

关键词： Electromagnetic transients

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A Hybrid Temporal-Magnitude Based Sampling for Event-Based control 3

A Hybrid Temporal-Magnitude Based Sampling for Event-Based C...

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3rd IEEE Industrial Electronics Society Annual On-Line Conference, ONCON 2024

作者： Miguel-Escrig, Oscar Sanchez-Moreno, Jose Romero-Perez, Julio-Ariel Dormido-Bencomo, Sebastian Universitat Jaume I Department of System Engineering and Design Castelló de la Plana Spain Department of Computer Science and Automatic Control Madrid Spain

ISBN: (纸本)9798331540319

In the current industrial environment, which is shifting towards an event-based control prone paradigm, sampling strategies in use must be revisited. Both temporal and magnitude dependent sampling strategies have been demonstrated to be suitable for control systems, reporting benefits in different categories. However, these sampling strategies also present some drawbacks, discussed in this contribution. Aiming to address some of these drawbacks, a new sampling strategy is proposed gathering characteristics of both predecessors. © 2024 IEEE.

关键词： Decentralized control

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Pango FPGA Implementation of a Real-Time Display system for Multi-Channel Video Processing

Pango FPGA Implementation of a Real-Time Display System for ...

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2024 IEEE International Conference on Sensing, Diagnostics, Prognostics, and control, SDPC 2024

作者： Huang, Cao Du, Lifu Peng, Yu Xiang, Gang Yu, Yang Chen, Jingyi School of Electronics Information Engineering Habin Institute of Technology Harbin China Beijing Aerospace Automatic Control Institute Beijing China Beijing Aerospace Automatic Control Institute Department of System Engineering Beijing China

ISBN: (纸本)9798350388855

A Pango FPGA-based solution for merging and processing multiple independent video streams and reconstructing a real-time display system is presented. The system handles each video stream individually, then produces a combined video output in HDMI format. To ensure high efficiency and low latency, a parallel processing scheme and a hardware-oriented architecture are employed. The Pango PG50K FPGA board acts as the central hardware for managing inputs, reconstructing video, and producing outputs. Rapid-access DDR3-SDRAM ensures efficient data caching and signal integrity. This system is ideal for applications requiring rapid response, such as traffic monitoring and industrial automation, and supports quick algorithm iteration and optimization, enhancing performance and adaptability. © 2024 IEEE.

关键词： Video streaming

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