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Decreasing control signal vibrations in the anti-noise model-free sliding mode control algorithm

International Journal of systems, control and Communications 2023年第4期14卷 341-356页

作者： Diab, Jomana Mahmoud Wasouf, Hasnaa Faculty of Biomedical Engineering Al Andalus University for Medical Sciences Al-Qadmous Tartous0963-043 Syria Al Baath University Homs0963-031 Syria Department of Automatic Control and Computers Engineering Faculty of Mechanical and Electrical Engineering Al Baath University Homs0963-031 Syria

Thanks to the model-free sliding mode control (MFSMC) algorithm, we were able to overcome errors resulting from the modelling process. When this algorithm was tested in a noise-prone environment, it was observed that the system was not able to track the desired path. In previous research, an anti-noise model-free sliding mode control (AMFSMC) algorithm was proposed. It improved the performance of MFSMC algorithm and made it noise-resistant. The control signal of that AMFSMC algorithm has a lot of chattering, which limits the use of the algorithm in practice. In this research, an improved anti-noise model-free sliding mode control (IAMFSMC) algorithm was proposed to solve the chattering problem. The control law of AMFSMC was modified using three techniques: boundary layer, quasi-sliding mode control, and saturation function. The IAMFSMC algorithm was applied to a second-order linear system. The system performance using the three techniques was compared to that when the AMFSMC algorithm was applied. Simulation results showed that using the saturation function gave good tracking response, despite the presence of noise, with chattering-free and smooth control signal. Copyright © 2023 Inderscience Enterprises Ltd.

关键词： Sliding mode control

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Application of Discrete-Time Analytic Signals in Power system Analysis 29

Application of Discrete-Time Analytic Signals in Power Syste...

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29th International Conference on Information, Communication and Automation Technologies, ICAT 2023

作者： Dzafic, Dzenita Dzafic, Izudin University of Sarajevo Faculty of Electrical Engineering Sarajevo Department for Automatic Control and Electronics Sarajevo Bosnia and Herzegovina

ISBN: (纸本)9798350399837

Power system analysis often involves studying the dynamics of oscillatory signals and transient events. Analytic signals provide a useful representation of real-meaured signals that contain both oscillatory and non-oscillatory components. This work examines the application of discrete-time analytic signals to analyze power system signals using Kung's and Prony's method. These methods are used to estimate the oscillatory modes present in power system signals and their associated parameters. The performance of the methods is evaluated on simulated and real power system data. The analytic signal-based techniques are shown to produce accurate results and offer benefits for automated power system monitoring and disturbance analysis. © 2023 IEEE.

关键词： systems analysis

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3D Trajectory Tracking of a Quad-Rotor Unmanned Aerial Vehicle via the First Order Sliding Mode control 9

3D Trajectory Tracking of a Quad-Rotor Unmanned Aerial Vehic...

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9th International Conference on control, Decision and Information Technologies, CoDIT 2023

作者： Salihbegovic, Almir Talic, Azra Osmic, Nedim Sokic, Emir University of Sarajevo Faculty of Electrical Engineering Department for Automatic Control and Electronics Sarajevo71000 Bosnia and Herzegovina

ISBN: (纸本)9798350311402

control design for multi-rotor aerial vehicles (MAVs) is quite challenging problem due to their nonlinearitles, unknown dynamics, parametric uncertainties, an underactuated property, a nonlinear coupling dynamics and external disturbances. This paper introduces a first order sliding mode control (FOSMC) for robust stabilization of an under-actuated quad-rotor unmanned aerial vehicle (UAV) operating in the presence of external disturbances. The proposed FOSMC guarantees a finite time convergence of the system trajectories to the sliding surface. Obtained simulations show that the FOSM based approach improves robustness properties compared with the concurrent techniques, and enhance tracking performance of the quad-rotor UAV exposed to external disturbances. © 2023 IEEE.

关键词： Sliding mode control

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Integrating Blockchain Technology in a Cyber Physical system to Secure Data

Integrating Blockchain Technology in a Cyber Physical System...

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International Conference on control systems and Computer Science (CSCS)

作者： Balaban Bèatrix-May Sacală Ioan Ştefan Petrescu-Niţă Alina-Claudia Niţă Răzvan Department of System Engineering Faculty of Automatic Control and Computers Politehnica University of Bucharest Romania

Considering the constant growth and evolution of technology, being able to secure data is a challenge. This is why researchers find this a top research topic. Cyber-Physical systems are complex, large-scale systems that can be found in domains like healthcare, transportation, industrial controls systems or smart grids. Having many components that interact with each other, we can observe here the challenge in maintaining a secure environment for the data as data tampering or data extraction can occur, for example, in the actual transportation of data from one device to another. The main focus of this paper is to give an answer if blockchain technology provides a solution in building a secure network. We give a short review of the related work regarding blockchain integration in large-scale systems like Cyber-Physical systems. It was also briefly analyzed the layered structure of a blockchain and discussed some solutions for each layer. We then discussed about consensus algorithms for validation and authentication process. In general, consensus algorithms are implemented to assure the validation process of the nodes in a network. In this paper we tried to analyze and propose a model that offers an extra layer of security by adding the authentication step. In this way, the nodes that are validated are also considered trusted nodes in the network.

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DESIGN AND IMPLEMENTATION OF AN EEG-BASED BCI PROSTHETIC LOWER LIMB USING RASPBERRY PI 4

UPB Scientific Bulletin, Series C: Electrical Engineering an...

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UPB Scientific Bulletin, Series C: Electrical engineering and Computer Science 2023年第3期85卷 353-366页

作者： Drăgoi, Marius-Valentin Hadăr, Anton Goga, Nicolae Grigore, Lucian-Ștefăniță Ștefan, Amado Ali, Haider Abdullah Faculty of Industrial Engineering and Robotics University POLITEHNICA of Bucharest Romania Academy of Romanian Scientists Technical Sciences Academy of Romania Romania Faculty of Automatic Control and Computers University POLITEHNICA of Bucharest Romania Military Technical Academy FERDINAND I Bucharest Romania

This paper presents a design and implementation of a mind-controlled prosthetic lower limb prototype to help leg amputees who lost their lower limbs due to different reasons. The system contains a prosthetic lower limb equipped with two servomotors, a motor driver module, a Raspberry Pi, a neuro-headset, and a computer. The prosthetic lower limb prototype is a low-cost 3D-printed prosthetic controlled by brain signals. The prototype has two degrees of freedom for the knee and ankle, which are flexion, extension, plantarflexion, and dorsiflexion. The implemented prototype has been tested on a healthy subject in real-time using the detected brain signals. © 2023, Politechnica University of Bucharest. All rights reserved.

关键词： Electroencephalography

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RISC-V Extension for Optimized PWM control 27

RISC-V Extension for Optimized PWM Control

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27th International Conference on system Theory, control and Computing, ICSTCC 2023

作者： Popovici, Cosmin-Andrei Stan, Andrei Manta, Vasile-Ion Department of Computer Engineering Faculty of Automatic Control and Computer Engineering Technical University "Gheorghe Asachi" Iași Romania

ISBN: (纸本)9798350337983

This paper proposes a RISC-V extension, named SigWavy, meant to optimize the PWM control for general purpose or application specific designs. The RISC-V extension named above is a PWM control Unit with a dedicated ISA extension set designed for configuring and driving up to 32 PWM signals. The extension is integrated into RiscPwm, an updated version of our previous work, the RisCanFd SoC, for taking advantage of CAN-FD, a massively used protocol in the areas of automation and mobility. Being configured with the dedicated ISA extension or with parameters directly extracted from CAN-FD commands, the proposed solution manages to configure/reconfigure PWM channels between 4.79x and 9.18x times faster than an ARM Cortex-M7 processor, although our SoC operates with a 6x lower frequency. © 2023 IEEE.

关键词： Pulse width modulation

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A Classification of Al-hur Arabic Poetry and Classical Arabic Poetry by Using Support Vector Machine, Naïve Bayes, and Linear Support Vector Classification

Iraqi Journal for Computer Science and Mathematics

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Iraqi Journal for Computer Science and Mathematics 2022年第2期3卷 128-137页

作者： Ahmed, Muneef Abdullah Electronics Department Alhawija Technical Institute Northern Technical University Iraq Faculty of Automatic Control and Computers University Polytechnic of Bucharest 313 Splaiul Independentei 060042 Romania

Most of the world languages have made strides in analyzing and classifying texts electronically;hence, the use of electronic text has become a great alternative to manual classification as it reduces time, cost, and difficulty. However, in the Arabic language, electronic analysis has not progressed due to several limitations faced by researchers in this field, such as the complexity of the Arabic language, the lack of related research, as well as the use of the classical Arabic language. In addition, Arabic poetry has other limitations, such as the use of a system that uses a single activation function. In this research, a new method was developed for the classification of the classical Arabic poetry and Al-hur poetry. This new approach is based on features that indicate the type of poetry. Pre-processing of some data is important in this new approach as it helps increase the accuracy of classification. © 2022 Autoctonía. Revista de Ciencias Sociales e Historia. All rights reserved.

关键词： Support vector machines

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Optimal Tuning of FOPID-Like Fuzzy controller for High-Performance Fractional-Order systems

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computers, Materials & Continua 2022年第1期70卷 171-180页

作者： Ahmed M.Nassef Hegazy Rezk College of Engineering at Wadi Addawaser Prince Sattam Bin Abdulaziz UniversityAl-Kharj11911Saudi Arabia Department of Computers and Automatic Control Engineering Faculty of EngineeringTanta UniversityTanta31733Egypt Department of Electrical Engineering Faculty of EngineeringMinia UniversityMinia61517Egypt

This paper addresses improvements in fractional order(FO)system *** the classical proportional-integral-derivative(PID)-like fuzzy controller can provide adequate results for both transient and steady-state responses in both linear and nonlinear systems,the FOPID fuzzy controller has been proven to provide better *** high performance was obtained thanks to the combinative benefits of FO and fuzzy-logic *** paper describes how the optimal gains and FO parameters of the FOPID controller were obtained by the use of a modern optimizer,social spider optimization,in order to improve the response of fractional dynamical *** group of systems had usually produced multimodal error surfaces/functions that occasionally had many variant local *** integral time of absolute error(ITAE)used in this study was the error *** results showed that the strategy adopted produced superior performance regarding the lowest ITAE *** reached a value of 88.22 while the best value obtained in previous work was 98.87.A further comparison between the current work and previous studies concerning transient-analysis factors of the model’s response showed that the strategy proposed was the only one that was able to produce fast rise time,low-percentage overshoot,and very small steady-state ***,the other strategies were good for one factor,but not for the others.

关键词： Fuzzy-logic control fractional-order systems parameter estimation optimization

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A Deep Learning Approach for Faults Recognition of Dissolved Oxygen Sensor in Wastewater Treatment Plants 28

A Deep Learning Approach for Faults Recognition of Dissolved...

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28th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2023

作者： Ghinea, Liliana Maria Miron, Mihaela Ratnaweera, Harsha Electrical Engineering and Electronics Faculty of Automation Computers Department of Automatic Control and Electrical Engineering Department Galaţi Romania Computers Electrical Engineering and Electronics Faculty of Automation Department of Computer Science and Information Technology Galaţi Romania Norwegian University of Life Sciences Faculty of Science and Technology Oslo Norway

ISBN: (纸本)9798350339918

Fault diagnosis in wastewater treatment plants (WWTPs) is important to protect communities and ecosystems from toxic elements discharged into water. In this sense, fault identification of sensors plays an important role as they are the key components of the water plants control, especially because environmental legislation is very strict when referring to failures or anomalies in WWTPs. This paper analyzes the performances of two Deep Learning models, a Feedforward Neural Network (FFNN) and a 1D Convolution Neural Network (1DCNN) for identifying five operating states of the dissolved oxygen (DO) sensor: normal and faulty (bias, stuck, spike and precision degradation faults). The experiments were conducted on the Benchmark Simulator Model No 2 (BSM2) developed by the IWA Task Group. The performance of the Deep Learning (DL) classifiers was evaluated via accuracy, precision, recall, and F1-score metrics. The best overall classification accuracy was obtained by FFNN, 98.32% for training and 98.30% for testing. © 2023 IEEE.

关键词： Wastewater treatment

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Cyber-Physical systems - A New Approach for Keyless Entry systems 23

Cyber-Physical Systems - A New Approach for Keyless Entry Sy...

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23rd International Conference on control systems and Computer Science Technologies, CSCS 2021

作者： Balaban, Beatrix-May Sacala, Ioan Stefan Petrescu-Nita, Alina Claudia Pop, Florin University Politehnica of Bucharest Department of System Engineering Faculty of Automatic Control and Computers Bucharest Romania

ISBN: (纸本)9781665439398

Nowadays, intelligent vehicles are becoming more and more important in the transportation field. What makes such a vehicle vulnerable is the number of interconnected components that individually have a strong security but can cause weakness points when they are connected. The challenge is to design and build a powerful system that uses both cyber-physical components. The proposed model is a system with integrated modules for fingerprint and face recognition to certify that a driver has the right to access the vehicle. The aim is to develop a security system for intelligent vehicles that can be also a secure keyless entry system using the power of biometrics. When a driver approaches the car, a sensor will activate the recognition modules. Only after the total completion of the recognition process the driver is authenticated and has the right to use the vehicle. We simulated real-time face detection and eye tracking using Matlab 2020a. Face detection is performed using Viola-Jones algorithms and the tracking is made with bbox-es. Besides normal conditions, other tests were made to challenge the algorithm, for example: angle rotations, the use of glasses, face mask, glasses and face mask together. © 2021 IEEE.

关键词： Cyber Physical system

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