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Noise Reduction in Industry Based on Virtual Instrumentation

Computers, Materials & Continua 2021年第10期69卷 1073-1096页

作者： Radek Martinek Rene Jaros Jan Baros Lukas Danys Aleksandra Kawala-Sterniuk Jan Nedoma Zdenek Machacek Jiri Koziorek Faculty of Electrical Engineering and Computer Science Department of Cybernetics and Biomedical EngineeringVSB–Technical University of Ostrava70800Ostrava-PorubaCzechia Faculty of Electrical Engineering Automatic Control and InformaticsOpole University of TechnologyOpolePoland Faculty of Electrical Engineering and Computer Science Department of TelecommunicationsVSB–Technical University of Ostrava70800Ostrava-PorubaCzechia

This paper discusses the reduction of background noise in an industrial environment to extend *** the Industry 4.0 era,the mass development of voice control(speech recognition)in various industrial applications is possible,especially as related to augmented reality(such as hands-free control via voice commands).As Industry 4.0 relies heavily on radiofrequency technologies,some brief insight into this problem is provided,including the Internet of things(IoT)and 5G *** study was carried out in cooperation with the industrial partner Brose CZ spol.s.r.o.,where sound recordings were made to produce a *** experimental environment comprised three workplaces with background noise above 100 dB,consisting of a laser/magnetic welder and a press.A virtual device was developed from a given dataset in order to test selected commands from a commercial speech recognizer from *** tested a hybrid algorithm for noise reduction and its impact on voice command recognition *** virtual devices,the study was carried out on large speakers with 20 participants(10 men and 10 women).The experiments included a large number of repetitions(100 times for each command under different noise conditions).Statistical results confirmed the efficiency of the tested *** welding environment efficiency was 27%before applied filtering,76%using the least mean square(LMS)algorithm,and 79%using LMS+independent component analysis(ICA).Magnetic welding environment efficiency was 24%before applied filtering,70%with LMS,and 75%with LMS+*** workplace environment efficiency showed no success before applied filtering,was 52%with LMS,and was 54%with LMS+ICA.

关键词： 5G hybrid algorithms signal processing speech recognition

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NLP-Assisted Educational Memory Game Experiment 13th

NLP-Assisted Educational Memory Game Experiment

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13th International Conference on Methodologies and Intelligent Systems for Technology Enhanced Learning, mis4TEL 2023

作者： Burkus, Viktória Kárpáti, Attila Szécsi, László Department of Control Engineering and Information Technology Faculty of Electrical Engineering and Informatics Budapest University of Technology and Economics Műegyetem rkp. 3. Budapest1111 Hungary

ISBN: (纸本)9783031421334

Memory card games are well-known for everyone. Their main goal is to find matching pairs among flipped cards by simultaneously turning two cards up. In each round information obtained and memorized from the previous round is used to predict matching pair positions. Whilst playing, a player’s thinking, memory, concentration, and attention skills can be improved, therefore, incorporating it into the learning process may be beneficial to the learner. In this research, we present a method for learning terminology from a scientific context by playing an AI-generated memory card game. We employ a general-purpose conversation chatbot, ChatGPT to generate the keyword-description pairs from a given scientific text. The primary purpose of our study is to evaluate the outcomes, with respect to their scientific accuracy and educational value. Consequently, we present a straightforward approach to constructing a game that facilitates the acquisition of knowledge by students in an enjoyable and playful way. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2023.

关键词： Natural language processing systems

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Modelling and Attitude control of an Agile Fixed Wing UAV based on Nonlinear Dynamic Inversion

Periodica polytechnica Electrical engineering and computer s...

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Periodica polytechnica electrical engineering and computer science 2022年第3期66卷 227-235页

作者： Kimathi, Stephen Lantos, Béla Department of Control Engineering and Information Technology Faculty of Electrical Engineering and Informatics Budapest University of Technology and Economics Magyar tudósok krt. 2. BudapestH-1117 Hungary

An estimation model is key in the design and development of an unmanned aerial vehicle's control system. This work presents a complete methodology for modelling the dynamics of a fixed-wing UAV for aerobatic maneuvers. The UAV dynamic non-linear model considered uses total variables instead of a nominal values and perturbation values about certain trimmed conditions for conventional flight envelopes. Such modelling allows the expansion of the flight envelope of an unmanned aerial vehicle to cover the full range of the angle of attack. The quaternion formulation is used since it eliminates the nonlinearity of the aerodynamics due to Euler angles for high angle of attacks. The objective is to have a complete and accurate representation of a highly dynamic fixed wing UAV capable of making aerobatic maneuvers without encountering singularities. A set of controllers are then designed for the inner and outer loops for attitude control using nonlinear dynamic inversion in cascade with a PI controller. Simulations carried out show robust tracking of reference attitude angles. © 2022 Budapest University of Technology and Economics. All rights reserved.

关键词： Fixed wings

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Real-time control of a Magnetic Levitation System for Time-varying Reference Tracking

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IAENG International Journal of Applied Mathematics 2021年第3期51卷 1-7页

作者： Giraldo, Eduardo Department of Electrical Engineering Universidad Tecnológica de Pereira Research group in Automatic Control Pereira Colombia

In this work, a design and implementation of a modified PID for tracking time-varying references are designed. The modified PID structure allows the reduction of the zeros added by the classical PID structure. The design of the controller is performed by considering time features such as settling time and maximum overshoot. The proposed controller is implemented and evaluated over a Hardware-in-the-Loop structure for real-time control performance. The controller is designed around an operational point and is evaluated for initial conditions, constant references, and time-varying references in terms of settling time and maximum overshoot. As a result, the modified PID structure shows advantages over the classical PID structure in terms of settling-time, maximum overshoot, and fidelity to the designed features. © 2021. All Rights Reserved.

关键词： Real time control

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Exploring the Use of Particle and Kalman Filters for Obstacle Detection in Mobile Robots

Periodica polytechnica Electrical engineering and computer s...

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Periodica polytechnica electrical engineering and computer science 2023年第4期67卷 384-393页

作者： Gyenes, Zoltán Bölöni, Ladislau Szádeczky-Kardoss, Emese Gincsainé Department of Control Engineering and Information Technology Faculty of Electrical Engineering and Informatics Budapest University of Technology and Economics Muegyetem rkp. 3. BudapestH-1111 Hungary Department of Computer Science University of Central Florida 4328 Scorpius St OrlandoFL32816-2362 United States

The present study aims to explore the adaptation of estimation methodologies, specifically Particle filters and Kalman filters, for the purpose of determining the position and velocity vector of obstacles within the operational workspace of mobile robots. These algorithms are commonly employed in the motion planning tasks of mobile robots for the estimation of their own position. The proposed methodology utilizes LiDAR sensor data to estimate the position vectors and calculate the velocity vectors of obstacles. Additionally, an uncertainty parameter can be determined using the introduced perception method. The performance of the newly adapted algorithms is evaluated through comparison of the absolute error in position and velocity vector estimations. © 2023 Budapest University of Technology and Economics. All rights reserved.

关键词： Mobile robots

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Unmanned Aerial Vehicles Swarm Flocking Architectures: An Overview 10

Unmanned Aerial Vehicles Swarm Flocking Architectures: An Ov...

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10th IEEE Jubilee International Conference on Computational Cybernetics and Cyber-Medical Systems, ICCC 2022

作者： Kimathi, Stephen Lantos, Béla Budapest University of Technology and Economics Faculty of Electrical Engineering and Informatics Department of Control Engineering and Information Technology Budapest Hungary

ISBN: (数字)9781665481779

ISBN: (纸本)9781665481779

The eruption of unmanned aerial vehicles (UAVs) use has disrupted the aviation industry. More recently, swarming in UAVs has been gaining popularity and has attracted a huge interest from researchers and industry players due to their potential application in various fields. A UAV swarm, which is a collection of many UAVs has the capability of autonomous navigation and operation hence suitable for diverse applications. The capabilities inherent in a single UAV are expounded by having many such vehicles performing similar or differentiated tasks while flying together. The potential of UAV swarms is yet to be fully explored as many researches are still concerned with the theoretic specifics of these complex multi-agent systems. The purpose of this article is to provide an overview of the swarm flocking architectures used in UAVs and their origin. Also some applications and challenges of swarming in UAVs is presented. © 2022 IEEE.

关键词： Multi agent systems

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Quaternion based attitude control of a maneuvering fixed wing UAV 26

Quaternion based attitude control of a maneuvering fixed win...

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26th IEEE International Conference on Intelligent engineering Systems, INES 2022

作者： Kimathi, Stephen Lantos, Bela Budapest University of Technology and Economics Faculty of Electrical Engineering and Informatics Department of Control Engineering and Information Technology Budapest Hungary

ISBN: (数字)9781665492096

ISBN: (纸本)9781665492096

This paper presents attitude control using the unit quaternion. Specifically, the orientation of a maneuvering fixed wing U A V is investigated through set point tracking. Two formulations are explored;the first, through quaternion error dynamics and the second, through quaternion logarithm. Both methods apply appropriate Lyapunov functions for the design and analysis of the closed stability of the control laws. The error dynamics are deduced from composite rotations between different frames of the UA V. Through the error dynamics, the orientation of the UAV's wind frame is aligned to a desired orientation. Using this procedure, the desired equilibrium points of the closed system are guaranteed to converge and are asymptotically stable. The formulation and implementation of these two methods is simple and intuitive, and through simulations, their successful use and effectiveness is shown. © 2022 IEEE.

关键词： Fixed wings

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Prediction of the Navigation Angles Using Random Forest Algorithm and Real Flight Data of UAVs 20

Prediction of the Navigation Angles Using Random Forest Algo...

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20th IEEE Jubilee International Symposium on Intelligent Systems and informatics, SISY 2022

作者： Al-Sudany, Huda Naji Lantos, Bela Budapest University of Technology and Economics Faculty of Electrical Engineering and Informatics Department of Control Engineering and Information Technology Budapest Hungary

ISBN: (纸本)9781665489881

Unmanned aerial vehicles (UAVs) are becoming more common in aviation. Predicting and estimating of UAV attitude are important aspects of the communication strategy. Autonomous UAVs' attitude estimate is a crucial component for controlling in flight mission. The attitude can take many forms such as Euler angles and Quaternion. This paper explains attitude estimation of UAV using Random Forest (RF) algorithm based on real flight data of Accelerations, Angular velocity, Magnetic Field, and GPS measurements for prediction current attitude angles (roll, pitch and yaw). The developed algorithm uses features that are derives from sensors measurements. The developed RF model results showed accurate prediction of UAVs attitude angles with small error values. © 2022 IEEE.

关键词： Forecasting

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Optimization Design and Dynamic Compensation Strategy of Inverter Parallel Virtual Impedance Based on Residual Generator 7

Optimization Design and Dynamic Compensation Strategy of Inv...

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7th IEEE Conference on Energy Internet and Energy System Integration, EI2 2023

作者： Hu, Changbin Huang, Haiyang Luo, Shanna Wang, Huiru Li, Xuecheng Lu, Heng North China University of Technology School of Electrical and Control Engineering Beijing China Beijing Kedong Electric Power Control System Co. Ltd Beijing China University of Duisburg-Essen Department of Automatic Control and Complex Systems Germany

ISBN: (纸本)9798350345094

To solve the power imbalance problem caused by the difference between the equivalent impedance of the inverter and the line impedance, and the power quality problem caused by the disturbance of load mutation, unbalanced load and nonlinear load, this paper proposes a closed-loop feedback dynamic compensation strategy based on the equivalent virtual impedance of the residual generator. Firstly, based on the parallel topology of inverters, a quasi-steady-state model is established on the dq axis. Based on the model, the power imbalance caused by the difference of output impedance and line impedance of different inverters and the power quality problems caused by load switching, unbalanced load, nonlinear load and other disturbances in parallel inverters are ***, a residual generator is established based on the inverter model. A virtual impedance equivalent controller Qvir(S) based on the residual generator is designed by the Luenberger observer principle. The disturbance information is fed back in real time through the feedback structure, and then the virtual impedance is adjusted to realize the power sharing of the inverter parallel system. Then, based on Euler parameterization and coprime factorization theory, a dynamic compensation architecture based on residual generator is designed. The transfer function of the dynamic compensation controller Qcom (S) is obtained by model matching to realize the steady-state operation of parallel inverters and the improvement of system power quality. Finally, the effectiveness of the proposed architecture is verified on the experimental platform. © 2023 IEEE.

关键词： Power quality

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Sensorformer: A Memory-efficient Transformer for Industrial Sensor Fusion 27

Sensorformer: A Memory-efficient Transformer for Industrial ...

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27th International Conference on Automation and Computing, ICAC 2022

作者： Zhang, Ze Farnsworth, Michael Tiwari, Divya Jewell, Geraint Tiwari, Ashutosh The University of Sheffield Department of Automatic Control and Systems Engineering Sheffield United Kingdom Department of Electronic and Electrical Engineering The University of Sheffield Sheffield United Kingdom

ISBN: (数字)9781665498074

ISBN: (纸本)9781665498074

The deep learning model, Transformer, and its variants have achieved state-of-the-art performance in many domains, such as natural language processing, vision recognition, protein structure prediction, as well as industrial multi-sensor data processing tasks. However, the high memory usage and O(N2) computational complexity of Transformer can result in the high cost and low efficiency in industrial scenarios, especially in the case of edge computing. To mitigate this problem, we propose a novel auto-decorrelation block based on the Fast Fourier Transform and the self-attention mechanism of Transformer to reduce memory occupation and computational complexity. Instead of removing the related data, this model merges the correlated channels progressively throughout the whole inference process. The proposed method was tested on a public dataset based on condition monitoring of a hydraulic system. Results demonstrated that our proposed method reduced memory usage to around one-fifth of its original size while maintaining similar inference accuracy. The inference time can also be 2 times faster. This allows the transformer to be used for industrial multi-sensor data processing tasks in a more resource-efficient and faster manner. © 2022 IEEE.

关键词： Computational complexity

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