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2nd International engineering Conference on Electrical, Energy, and Artificial Intelligence, EICEEAI 2023

作者： Abdulmahdi, Esraa Ali Ali, Adnan Hussein Ibrahim, Raed Khalid Al-Askery, Ali Alhamdane, Hayder Jasim Mahmood, Amal Ibrahim Electrical Engineering College Middle Technical University Student at Dept. of Computer Engineering Techniques Baghdad Iraq Institute of Technology Middle Technical University Electrical Techniques Department Baghdad Iraq Al-Farahidi University Department of Medical Instruments Engineering Techniques Baghdad Iraq Electrical Engineering College Middle Technical University Department of Control and Automation Technical Engineering Baghdad Iraq College of Applied Arts Middle Technical University Baghdad Iraq Electrical Engineering College Middle Technical University Dept. of Computer Engineering Techniques Baghdad Iraq

ISBN: (纸本)9798350373363

The technology of reconfigurable optical networks (RONs) is growing to be a promising solution to effectively cater to the rapidly increasing traffic generated by the digital society. Optical technology emerges as a viable alternative because to its capacity to offer a substantial bandwidth, little latency, and enhanced overall performance. Nevertheless, it is imperative to effectively manage the physical resources comprising a data center. This study provides an experimental demonstration of the RONs, which is enhanced by a control plane. The implementation relies on the monitoring of real-time network statistics. This enables the execution of various activities, including as network slice provisioning and reconfiguration, assignment of packet priority classes, and dynamic operations. These actions are performed to ensure the attainment of the desired Quality of Service level. The experimental results show the successfully implementation of RONs using Mininet Emulator and sFlow traffic monitoring technology. The results approve that optical datacenter has minimum delay with low OSNR even with long distance and fast switching time. © 2023 IEEE.

关键词： Optical switches

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Analysis and Preliminary Results of a Feedback-Feedforward controller for Depth of Anesthesia

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IFAC-PapersOnLine 2024年第7期58卷 216-221页

作者： Erwin Hegedus Marcian D. Mihai Isabela R. Birs Hamed Farbakhsh Erhan Yumuk Dana Copot Eva H. Dulf Robain De Keyser Clara M. Ionescu Cristina I. Muresan Department of Automation Technical University of Cluj-Napoca Memorandumului Street no. 28 400114 Cluj-Napoca Romania Ghent University Department of Electromechanics Systems and Metal Engineering Research Group on Dynamical Systems and Control Tech Lane Science Park 125 Zwijnaarde 9052 Belgium Istanbul Technical University Department of Control and Automation Engineering Istanbul Turkey

In a computer-based anaesthesia control system, the depth of hypnosis must be correctly maintained. The regulated variable is the Bispectral Index scale (BIS) controlled via the Propofol drug rate. The anesthesiologist administers Propofol to prevent unwanted fluctuations in the controlled variable during surgical stimulation, which acts as an unmeasurable disturbance on the BIS signal. In this paper, a feedback controller is paired with a feedforward control action. Based on existing clinical protocols, a digitalized disturbance signal that mimics the actual surgical stimulus is employed in the feedforward controller design as a measurable disturbance. To account for the time delay in the BIS measurements, a time delay estimation algorithm is developed and used to estimate the patient time delay. The digitalized disturbance signal is then shifted based on the estimated time delay to ensure a pre-emptive action of the feedforward controller. Two different designs of the feedforward controller are developed. Closed loop simulations considering a nominal patient with and without the feedforward control action are presented and compared. The results show that the surgical stimulus is better tackled using a feedforward control action, even if the actual surgical stimulus is not entirely known.

关键词： feedforward control fractional order control depth of hypnosis time delay estimation closed loop control of anesthesia

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Proton Exchange Membrane Fuel Cell Thermal System Modeling and control

Proton Exchange Membrane Fuel Cell Thermal System Modeling a...

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International Conf on Electrical and Electronic engineering (ICEEE)

作者： Tuna Han Özdemir Claudia Fernanda Yaşar Department of Control and Automation Engineering Yıldız Technical University AVL Research and Engineering İstanbul Turkey Department of Control and Automation Engineering Yıldız Technical University İstanbul Turkey

The urgent issue of global warming and its adverse effects, including wildfires, water scarcity, and the spread of diseases, calls for concerted efforts to mitigate emissions and curb climate change. Among the effective strategies is the reduction of carbon emissions, for which hydrogen-powered proton exchange membrane fuel cell systems are vital. These systems generate electricity through chemical reactions involving hydrogen, with only water and heat as byproducts, hence their environmentally friendly nature. Fuel cell efficiency is higher than conventional systems depending on the type and the operating temperature. Proper thermal control is essential for maintaining high efficiency. This research paper aims to examine standard models of proton exchange membrane fuel cell thermal systems and suggest an efficient control approach. The system dynamics are derived from fundamental models, and an adaptive PID controller is simulated with MATLAB/Simulink. The paper also presents a comparative analysis between traditional PID control and adaptive PID, an advanced control technique.

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A Fractional-Order Nonlinear Backstepping controller Design for Current-controlled Maglev System

arXiv

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arXiv 2025年

作者： Astekin, Dorukhan Adigüzel, Fatih Yıldız Technical University Electric-Electronic Faculty Department of Control and Automation Engineering İstanbul Turkey

The magnetic levitation system (Maglev) is a nonlinear system by which an object is suspended with no support other than magnetic fields. The main control perspective of the Maglev system is to levitate a steel ball in air by the electromagnetic force. However, the Maglev system has highly nonlinear dynamics which is inconvenient in the sense of sensitive control/regulation of its nonlinear dynamics. In this paper, the nonlinear backstepping controller based on the fractional-order derivative is proposed for the control of the nonlinear current-controlled Maglev system. After, the system dynamics and fractional-order backstepping controller design are given, the asymptotic stability of the closed-loop system is proved by employing the Lyapunov theory. Some computer-based numerical experiments are carried out to show the effectiveness of the proposed controller for the control of Maglev system. © 2025, CC BY.

关键词： Magnetic levitation

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Implementation of Neural Networks in Real-Time Swarm Robotics Applications

Implementation of Neural Networks in Real-Time Swarm Robotic...

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IEEE International Conference on Systems, Man and Cybernetics

作者： Emre Yazici Hakan Temeltas Department of Control and Automation Engineering/Software Development Department Istanbul Technical University/NISO Software Technologies Istanbul/Izmir Turkey Department of Control and Automation Engineering Istanbul Technical University Istanbul Turkey

Over the last few decades, significant attention has been devoted to the coordinated motion of swarm systems, which involve multiple autonomous robots. These systems have a range of potential applications, such as creating formations with physical or non-physical bonds, navigating to desired locations while maintaining formation, and preventing collisions. To achieve coordinated motion, recent researches have focused on the potential function method. We previously validated novel potential functions and developed a sliding-mode speed controllers to promote collective behavior. In this study, we implement an accepted neural network with one hidden and one output layer to update potential function weights with decentralized manner in real-time, thereby enhancing swarm behavior for formation creation and maintenance. The effectiveness of this approach is demonstrated through simulation and processor-in-the-loop tests using two different micro-controllers as well as measuring execution time of neural networks' models. By successfully validating neural networks implementation in this context, our study extends the current understanding of swarm behavior and opens up new possibilities for real-time swarm applications.

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Switching Multi-regulator control of Electro-Hydraulic Servo System

Switching Multi-regulator Control of Electro-Hydraulic Servo...

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Automatics and Informatics (ICAI), International Conference

作者： Georgi Mihalev Stanimir Yordanov Krasimir Ormandzhiev Department of Automation Information and Control Systems Technical University of Gabrovo Gabrovo Bulgaria Department of Power Engineering Technical University of Gabrovo Gabrovo Bulgaria

ISBN: (数字)9798350353907

ISBN: (纸本)9798350353914

The paper proposes a switching multi-regulator control for an electro-hydraulic servo system with throttle regulation. The architecture of the multi-regulator control, composed of three conventional regulators (PID 1 , PI 2 , PI 3 ) for different regions of the setpoint signal variation and switching logic, is discussed. The main issues arising from the use of such control are considered, and an analysis of the stability of the closed-loop system is conducted. Some mathematical formulas and descriptions are presented. Using a universal measurement and control module, graphical results for the quality of the designed control are obtained. The advantages of this type of control and the emergence of additional robust qualities of the system are experimentally proven.

关键词： technical requirements System dynamics Stability criteria Switches Real-time systems Time factors Electrohydraulics Closed loop systems Servomotors Transient analysis

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Application of a Modified Multiparametric PID controller for control of an Electrohydraulic Servo System

Application of a Modified Multiparametric PID Controller for...

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Automatics and Informatics (ICAI), International Conference

作者： Stanimir Yordanov Georgi Mihalev Krasimir Ormandzhiev Stefan Ivanov Department of Automation Information and Control Systems Technical University of Gabrovo Gabrovo Bulgaria Department of Power Engineering Technical University of Gabrovo Gabrovo Bulgaria

ISBN: (数字)9798350353907

ISBN: (纸本)9798350353914

The paper proposes a switching multiparametric control for an electrohydraulic servo system with throttle regulation. The architecture of a MISO (Multiple Input Single Output) control is considered, consisting of a conventional PID controller operating in the deviation control channel and a fuzzy PID controller operating in the disturbance channel. The main issues arising from the use of this type of control are discussed, and an analysis of the stability of the closed-loop system is conducted. Graphic results for the control quality of the designed system are obtained using a universal measurement and control module. The advantages of this type of control and the manifestation of additional robust qualities of the system are experimentally demonstrated.

关键词： Process control Switches Stability analysis Regulation Real-time systems Electrohydraulics Servomotors Transient analysis Tuning Thermal stability

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Capturing Aerodynamic Characteristics of ATTAS Aircraft with Evolving Intelligent System

arXiv

引用

arXiv 2025年

作者： Soylu, Aydoğan Kumbasar, Tufan Control and Automation Engineering Department Istanbul Technical University Istanbul Turkey AI and Intelligent Systems Laboratory Istanbul Technical University Istanbul Turkey

Accurate modeling of aerodynamic coefficients is crucial for understanding and optimizing the performance of modern aircraft systems. This paper presents the novel deployment of an Evolving Type-2 Quantum Fuzzy Neural Network (eT2QFNN) for modeling the aerodynamic coefficients of the ATTAS aircraft to express the aerodynamic characteristics. eT2QFNN can represent the nonlinear aircraft model by creating multiple linear submodels with its rule-based structure through an incremental learning strategy rather than a traditional batch learning approach. Moreover, it enhances robustness to uncertainties and data noise through its quantum membership functions, as well as its automatic rule-learning and parameter-tuning capabilities. During the estimation of the aerodynamic coefficients via the flight data of the ATTAS, two different studies are conducted in the training phase: one with a large amount of data and the other with a limited amount of data. The results show that the modeling performance of the eT2QFNN is superior in comparison to baseline counterparts. Furthermore, eT2QFNN estimated the aerodynamic model with fewer rules compared to Type-1 fuzzy counterparts. In addition, by applying the Delta method to the proposed approach, the stability and control derivatives of the aircraft are analyzed. The results prove the superiority of the proposed eT2QFNN in representing aerodynamic coefficients. © 2025, CC BY-NC-SA.

关键词： Fuzzy rules

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Flight control System Design for Fixed Wing Aircraft

Flight Control System Design for Fixed Wing Aircraft

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International Conference on Recent Advances in Space Technologies (RAST)

作者： Ayşenur Bodur Levent Ucun Department of Control and Automation Engineering Yildiz Technical University Istanbul Türkiye

The aviation sector develops cutting-edge technology and has strategic consequences all around the world. Fighter aircraft is one of the key players in air defense systems. To ensure flight safety and improve the flight capabilities of the aircraft, flight control technologies are being developed. In this study, three degrees of freedom nonlinear mathematical model of the F16 aircraft is utilized, and a flight control system operating on the longitudinal axis is designed. Trim point searching and linearization is carried out during the controller design process. The primary goal of the study is to create an autopilot system for the aircraft to follow the desired altitude and maintain a straight course by using LQR (linear quadratic regulator) and PD (proportional-derivative) controllers. The second goal of the study is to develop an autopilot system that provides control of the airspeed of the aircraft via FOPID (fractional-order proportional-integral-derivative) controller. Finally, the nonlinear model of the aircraft and the designed autopilot system are used for the simulation studies.

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Recognizing and Tracking Person of Interest: A Real-Time Efficient Deep Learning based Method for Quadcopters

Recognizing and Tracking Person of Interest: A Real-Time Eff...

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International Conference on Recent Advances in Space Technologies (RAST)

作者： Hidayet Ersin Dursun Enes Can Güven Batuhan Avci Tufan Kumbasar Control and Automation Engineering Department Istanbul Technical University Istanbul Türkiye

The recognition and tracking of a person of interest is a crucial task in many applications, including search and rescue, security, and surveillance. This paper presents a distributed system architecture that leverages the asynchronous threading and communication property of ROS2 to develop and implement a real-time efficient Deep Learning (DL) based method for recognizing and tracking a person of interest. The DL model receives snapshots from the quadcopter's camera and sends back an information vector, which includes all recognized persons and their corresponding position information within the camera frame of the quadcopter. The person of interest tracking control system receives face set information about the person of interest and generates reference velocity signals to be tracked by low-level controllers embedded within the drone. Experiments conducted in a cluttered and complex environment demonstrate the efficiency of the DL-based architecture for quadcopters. The presented real- world results validate the effectiveness of the proposed approach in recognizing and tracking a person of interest. The experimental video is available at https://***/i7bYXnRy8Vc.

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