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27th IEEE Signal Processing: Algorithms, Architectures, Arrangements, and Applications, SPA 2024

作者： Podbucki, Kacper Marciniak, Tomasz Poznan University of Technology Faculty of Automatic Control Robotics and Electrical Engineering Institute of Automatic Control and Robotics Division of Electronic Systems and Signal Processing Jana Pawla II 24 Poznań60-965 Poland

ISBN: (纸本)9788362065486

Measuring luminous intensity using electronic sensors requires their precise positioning. In the case of mobile measurement platforms, it is important to detect the light source and thus determine the correct direction of movement of the measuring device. This article presents research on a solution for the initial detection of glowing airport lamps based on camera images. The impact of the selection of parameters and image processing methods on the prepared data set was assessed. The histogram filtration method was introduced to improve the effectiveness of airport lamp localization. The proposed solution was investigated in different weather and daytime conditions. The overall accuracy of the proposed solution is more than 90%. © 2024 Division of Signal Processing and Electronic systems, Poznan University of technology (DSPES PUT).

关键词： Image enhancement

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Segmentation of Retina Vessels in 2D OCT-Reconstructed Fundus Images with 3D UNet 26

Segmentation of Retina Vessels in 2D OCT-Reconstructed Fundu...

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26th IEEE Signal Processing: Algorithms, Architectures, Arrangements, and Applications, SPA 2023

作者： Marciniak, Tomasz Stankiewicz, Agnieszka Zaradzki, Przemyslaw Poznan University of Technology Division of Electronic Systems and Signal Processing Institute of Automatic Control and Robotics Department of Control Robotics and Electrical Engineering Poznan Poland

ISBN: (纸本)9798350304985

This paper presents an analysis of the effectiveness of blood vessel segmentation in human retinal images. The segmentation process was carried out for three-dimensional optical coherence tomography (OCT) scans using the author's publicly available CAVRI-C database. A 3D version of the U-Net artificial neural network was used. Various dimensions of the input blocks were investigated to determine their influence on the segmentation process. The effectiveness of the proposed solutions was evaluated using various metrics and the results obtained were compared with the 2D solution, also based on neural networks. The use of the proposed solutions allowed us to improve the segmentation even by 15% (in the case of the F1-score). © 2023 Division of Signal Processing and Electronic systems, Poznan University of technology (DSPES PUT).

关键词： Optical tomography

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A low voltage ride through (LVRT) strategy using an active superconductor fault current limiter (SFCL) for a virtual synchronous generator (VSG) connected to a weak grid

A low voltage ride through (LVRT) strategy using an active s...

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2023 IEEE PES Innovative Smart Grid Technologies Europe, ISGT EUROPE 2023

作者： Kisinga, Daniel Angelo Trodden, Paul Department of Automatic Control and Systems Engineering University of Sheffield Sheffield United Kingdom

ISBN: (纸本)9798350396782

A function of grid-connected VSGs is facilitating the recovery of sagging voltages to nominal levels, achieved by supplying reactive power (Q) to the grid. During normal operation, however, a VSG is required to supply active power (P) at unity power factor and, therefore, in order to supply the Q required in the event of a sagging voltage, the VSG must change its control mode from P-supply to PQ- or Q-supply. Such transitions may induce high current flows—caused by the sudden reduction of the voltage during the sag—which are potentially damaging to the power semiconductor devices of the VSG;if these effects are to be avoided, the supplied current must be limited to its rated value, but this may result in a low power transfer from the VSG to the grid. To circumvent these problems, in this paper we propose a LVRT strategy using an active SFCL. We show that the proposed strategy, which combines a PQ decoupling scheme with an active SFCL, ensures maximum power transfer with an improved transient response during LVRT. © 2023 IEEE.

关键词： active SFCL LVRT PQ control voltage sag VSG

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Designing an Electronic control Circuit of Marine Thruster Based on Unified Element Base

Designing an Electronic Control Circuit of Marine Thruster B...

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2023 Seminar on Electrical Engineering, Automation and control systems: Theory and Practical Applications, EEACS 2023

作者： Galtsov, German A. Sakovich, Sergey Y. Department of Automatic Control Systems and Onboard Computer Facilities Saint Petersburg Russia

ISBN: (纸本)9798350358537

This article presents a modernization project for the laboratory stand of the marine propeller layout. It was necessary to implement a modern digital control system for the layout of a marine propeller with a unified element base as part of the university curriculum of automatic control. The outdated training stand was supplemented with some sensors and automatic control algorithms to create feedback in the control circuit. Paper describes a functional scheme and develops software of electronic control circuit as well as possible modifications. © 2023 IEEE.

关键词： Digital control systems

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Reinforcement Learning for Multiple-Input Multiple-Output control in Metal Additive Manufacturing 20

Reinforcement Learning for Multiple-Input Multiple-Output Co...

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20th IEEE International Conference on Networking, Sensing and control, ICNSC 2023

作者： Grais, Emad M. Notley, Scott V. Panoutsos, George University of Sheffield Department of Automatic Control and Systems Engineering Sheffield United Kingdom

ISBN: (纸本)9798350369502

In laser powder bed fusion additive manufacturing, using fixed values for the process parameters (beam power, velocity, and other parameters) may not lead to homogeneously distributed heat in all locations in the build, especially around complex design features. This could lead to builds with defects, leading to poor mechanical and micro-structure properties. To guarantee heat homogeneity, the process parameters need to be actively controlled to adapt to different locations in the build. Builds with varying geometrical features would need different control strategies. In this work, we propose to use reinforcement learning (RL) to control, for the first time, simultaneously multiple AM process parameters to achieve consistent melting properties. Our results show that using RL as a multiple-input multiple-output control system achieves a more consistent meltpool geometry. © 2023 IEEE.

关键词： Reinforcement learning

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Aircraft Image Management based on AI Typical Mainland Zynq 2

Aircraft Image Management based on AI Typical Mainland Zynq

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2nd International Conference on Machine Vision, Image Processing and Imaging technology, MVIPIT 2024

作者： Shi, Dongqiang Gao, Jie Zhang, Ying Project Manage Department Beijing Aerospace Automatic Control Institute Beijing China Quality Manage Department Beijing Aerospace Automatic Control Institute Beijing China National Key Laboratory of Science and Technology on Aerospace Intelligent Beijing Aerospace Automatic Control Institute Peking University Beijing China

ISBN: (纸本)9798331543037

In the aircraft management system, the universality of aircraft target detection neural network model compression has been verified for many engineering application conditions such as full-range intelligent maneuvering target recognition in specific areas, long-distance maneuvering target detection, and deep space recognition of non-cooperative targets. A data set suitable for aerospace has been selected to complete variable-scale recognition without basically reducing the accuracy. The model is compressed to one-tenth, and the inference time is controlled at the millisecond level. Using neural network compression and quantization after pruning, a 90% compression rate SSD fixed-point model is achieved to control the resize process and effectively prevent precision dissipation, target loss of lock, and energy consumption expansion. Multi-acceleration IP core parallel computing is deployed on the mainland Zynq series single chip to achieve a peak performance of 1.2TOPS and an mAP value of 0.95, meeting the strict requirements of aerospace vehicles for single-time target recognition accuracy. ©2024 IEEE.

关键词： Aircraft detection

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Visual Management based on Integrated Convolution Neural Network 2

Visual Management based on Integrated Convolution Neural Net...

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2nd International Conference on Machine Vision, Image Processing and Imaging technology, MVIPIT 2024

作者： Gao, Jie Shi, Dongqiang Zhang, Ying Quality Manage Department Beijing Aerospace Automatic Control Institute Beijing China Project Manage Department Beijing Aerospace Automatic Control Institute Beijing China National Key Laboratory of Science and Technology on Aerospace Intelligent Beijing Aerospace Automatic Control Institute Peking University Beijing China

ISBN: (纸本)9798331543037

Using convolutional neural network technology for model compression, the convolutional layer operation speed is improved through multiple row-column parallel computing units in the convolution operation acceleration module. At the same time, it is proposed that a convolution operation acceleration module should be used to build a multi-way parallel architecture of the convolution layer, saving time and improving management efficiency. By utilizing IP core development and efficient management of algorithm hardware, image big data pre-processing and post-processing calculations are realized through PS-side instruction scheduling. Using a dedicated neural network processor architecture and a dedicated algorithm acceleration core, computing power support is provided, the autonomy of the visual image management system is improved, and the dependence on measurement and control equipment is reduced, thereby realizing the rapid deployment of neural networks. ©2024 IEEE.

关键词： Convolutional neural networks

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Machine Learning-Based Calibration Approaches for Single-Beam and Multiple-Beam Distance Sensors

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IEEE Sensors Journal 2024年第1期24卷 975-983页

作者： Syu, Jia-Hao Lin, Jerry Chun-Wei Biernacki, Piotr Ziebinski, Adam National Taiwan University Department of Computer Science and Information Engineering Taipei10617 Taiwan Silesian University of Technology Faculty of Automatic Control Electronics and Computer Science Department of Distributed Systems and Informatics Devices Gliwice44-100 Poland Silesian University of Technology Department of Distributed Systems and Informatic Devices Gliwice44-100 Poland

Sensors are the foundation to facilitate smart cities, smart grids, and smart transportation, and distance sensors are especially important for sensing the environment and gathering information. Researchers have developed various methods to calibrate distance sensors;however, they mainly focus on using external information for calibration, which is inefficient and computationally expensive. To alleviate the above problems, we propose machine learning (ML)-based calibration approaches for distance sensors. We develop two calibration mechanisms, where the naive mechanism directly predicts the true distance, while the residual mechanism predicts the residual for calibration. The conventional ML regression algorithms are then adopted to predict the true distance or calibration residual. Experimental results show that the designed residual calibration mechanism outperforms the naive mechanism by reducing the root mean square error (RMSE) by 92.2% and mean absolute error (MAE) by 93.3% in the fitting task. In prediction, the proposed 2-D-residual mechanism achieves an improvement of 78.6% and 65.7% compared to the state-of-the-art method. The experimental results show the effectiveness and generalization of the proposed ML-based calibration method, especially for the 2-D mechanism, which achieves the highest robustness in all fitting and prediction tasks. © 2001-2012 IEEE.

关键词： Calibration

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Combined Filters Design, Using the Principle of Internal Models

Combined Filters Design, Using the Principle of Internal Mod...

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2024 International Russian Automation Conference, RusAutoCon 2024

作者： Gaiduk, Anatoly Denisenko, Darya Prokopenko, Nikolay Southern Federal University Scientific Design Office Robotics and Control Systems Department of Automatic Control Systems Rostov-on-Don Taganrog Russia Department of scientific research Don State Technical University Rostov-on-Don Russia Department of Automatic Control Systems Southern Federal University Rostov-on-Don Russia Don State Technical University Department of Information Systems and Radio Engineering Rostov-on-Don Russia

To design active analog, discrete-analog and digital filters a new method is suggested, taking into account the conditions of selective invariance and using the internal models principle of the dynamic systems. For this purpose, the structure of each basic filter ensures the presence of an explicit spectral model of the filtered signal. Such a filter is selectively invariant, and this property depend only on the spectrum-setting parameters and do not depend on other parameters. It is suggest-ed to carry out the design of the combined selective filters by integration of the suggested basic second-order filters, focusing on the log magnitude plot of the latter. This makes possible to minimize the order of the combined both analog and digital filters. The combined selective filters are distinguished by high stability of selective properties and can be used in the systems for measurement, signal processing, data transmission, as well as automatic and automated control of various social, production and special facilities. © 2024 IEEE.

关键词： Wiener filtering

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Perturbation Event Oriented Dynamic Task Scheduling Algorithm for Parallel Testing of control systems

Perturbation Event Oriented Dynamic Task Scheduling Algorith...

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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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