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63rd IEEE Conference on Decision and control, CDC 2024

作者： You, Jiawei Dai, Xinliang Jiang, Yuning Yin, Haoyu Shi, Yuanming Jones, Colin N. ShanghaiTech University School of Information Science and Technology China Epfl Switzerland Karlsruhe Institute of Technology Institute for Automation and Applied Informatics Germany Epfl Automatic Control Laboratory Switzerland Washington University in St. Louis Department of Electrical and Systems Engineering United States

ISBN: (纸本)9798350316339

This paper explores the impact of the burgeoning electric vehicle (EV) presence on distribution grid operations, highlighting the challenges they present to conventional pricing strategies due to their dual role as power consumers and suppliers, coupled with their energy storage capabilities. We propose an advanced real-time pricing model for the electricity market, employing a novel distributed bilevel optimization framework. This framework distinguishes between the distribution system operator (DSO) at the upper level and the EVs at the lower level, each aiming to optimize profit margins. The optimization includes power flow constraints at the upper level to ensure efficient operation within safe system limits, while model predictive control (MPC) is used to optimize lower-level EV responses. Additionally, we provide a rigorous convergence analysis of the proposed bilevel optimization method. Detailed convergence studies and simulation results demonstrate the effectiveness and superiority of the proposed algorithm. © 2024 IEEE.

关键词： Predictive control systems

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Model-free iPI controller design and application to a thermal plant

Model-free iPI controller design and application to a therma...

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Mediterranean Conference on control and Automation (MED)

作者： Andrei Baciu Corneliu Lazar Constantin F. Caruntu Department of Automatic Control and Applied Informatics "Gheorghe Asachi" Technical University of Iasi Romania

ISBN: (数字)9781665406734

ISBN: (纸本)9781665406741

The automatic controllers with multiple integral components represent a special category. Although they are not so widely used for standard applications, there is a class of processes that require this type of controller. Thus, in this paper, the intelligent PI (iPI) controllers designed in the Model-Free control paradigm are presented and compared with a PI controller. Two tuning methods are proposed for the iPI controllers, one based on a pole-placement technique and the other one based on the Iterative Feedback Tuning (IFT) strategy. The IFT algorithm hinges on an iterative data-driven approach that starts from a predesigned set of parameters for the controller and leads to an optimal set of parameters that should improve the system’s performance. To test the capabilities of the proposed design methods, a comparison between the three controllers was performed on a thermal plant used to heat-treat Mg-Li-Al based alloys, and their performances were evaluated based on a numerical analysis.

关键词： Heating systems Temperature sensors PI control Temperature Design methodology Metals Process control

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TCIP: Transformed Colour Intensity Profiles analysis for fault detection in power line insulators

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Multimedia Tools and Applications 2025年第8期84卷 4503-4534页

作者： Tomaszewski, Michal Gasz, Rafal Kasana, Singara Singh Osuchowski, Jakub Singh, Simranjit Zator, Slawomir Department of Computer Science Faculty of Electrical Engineering Automatic Control and Informatics Opole University of Technology Prószkowska 76 Opole45-758 Poland Department of Computer Science and Information Technology Central University of Haryana Haryana Mahendergarh123031 India Department of Information Technology Dr B. R. Ambedkar National Institute of Technology Punjab Jalandhar India Department of Safety Engineering and Technical Systems Faculty of Production Engineering and Logistics Opole University of Technology Prószkowska 76 Opole45-758 Poland

In response to the escalating demand for electricity, the aging process and inherent failures in power lines have become unavoidable challenges in their operational integrity. This research addresses the imperative need for a robust method to detect damage in power insulator disc images, introducing a novel feature extraction technique grounded in color intensity profile transformation and ensemble learning. For the purposes of the research, a specific dataset was developed based on publicly available images of power insulators. The collection consists of 9232 images of insulator discs which included 2184 images of damaged discs. The discernible damages include breakages and burnouts. Two distinct analysis variants were employed. In the first variant (V1), two classification groups were selected: disc with damages and disc without damages. In the second variant (V2), three classification groups were selected: discs without damage, broken discs, and burnout discs. The described research was divided into two successive stages. In the first of them (S1), the transformed color intensity profiles for the prepared data set were built and various machine learning models for their classification were trained and evaluated. In the next stage (S2), previously developed, highest efficient machine learning models, were used to make the detection of various damaged types of overhead line insulator discs. For the first stage of research high-performance results and a high value of the F1 score parameters were obtained (F1 score = 0.999 for the first variant (S1V1) and F1 score = 0.992 for the second variant (S1V2). In the second stage of research and the first variant (S2V1), the highest result of the F1 score was 0.932 and for the second variant (S2V2) F1 score was 0.930. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024.

关键词： Feature extraction

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Impact of Data Packet Loss for DSRC Vehicular Safety Communication in Connected Vehicle Platoons

Impact of Data Packet Loss for DSRC Vehicular Safety Communi...

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International Conference on Emerging Technologies and Factory Automation (ETFA)

作者： Razvan-Gabriel Lazar Andreea-Valentina Militaru Constantin-Florin Caruntu Department of Automatic Control and Applied Informatics Gheorghe Asachi Technical University of Iasi Iasi Romania Department of Telecommunications and Information Technologies Gheorghe Asachi Technical University of Iasi Iasi Romania

In the context of the development of wireless networks in the field of connected vehicles, platooning becomes more common on the road, and vehicular safety communication is crucial to ensure driver and passenger safety. Communication between vehicles within platoons relies on Dedicated Short-Range Communication (DSRC) and Cooperative Adaptive Cruise control (CACC). The DSRC allows vehicles to communicate by exchanging safety information like location, speed, and acceleration. As a result, the CACC control solution maintains a speed-independent inter-vehicle distance of the followers’ vehicles based on this information. The platoon systems are susceptible to data packet loss that determine delayed and incomplete responses which can lead to collisions or other safety issues. This paper analyzes indicators such as the distance between platoon members, the front delay, and the relative speed of vehicles that have an impact on vehicular safety communication.

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Communication topologies evaluation for a vehicle merging into a platoon on highway

Communication topologies evaluation for a vehicle merging in...

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Mediterranean Conference on control and Automation (MED)

作者： Ovidiu Pauca Anca Maxim Constantin F. Caruntu Department of Automatic Control and Applied Informatics &#x201C Gheorghe Asachi&#x201D Technical University of Iasi Iasi Romania

ISBN: (数字)9781665406734

ISBN: (纸本)9781665406741

Vehicle-to-vehicle communication represents the main capability of vehicles that stays at the base of cooperative control solutions. Vehicle groups, e.g., platoons, exchange information about velocities to improve the performances of the traffic (i.e., reducing fuel consumption/emissions, improving the quality of the travel). Due to the importance of communication in literature, manifold types of communication topologies were proposed for various scenarios. In this paper, a study of the performances of the communication topologies is performed, starting from a cooperative adaptive cruise control (CACC) algorithm used to control the vehicles from a platoon in a specific scenario, four communication topologies were tested, and numerical analysis was performed to point out the advantages of each topology.

关键词： Road transportation Manifolds Automation Numerical analysis Merging Vehicular ad hoc networks Topology

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Neural network developed for obstacle avoidance of the four wheeled electric vehicle 30

Neural network developed for obstacle avoidance of the four ...

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30th IEEE International Conference on Electronics, Circuits and Systems, ICECS 2023

作者： Sciuto, Grazia Lo Kowol, Pawel Nowak, Pawel Banaś, Waclaw Coco, Salvo Capizzi, Giacomo Silesian University of Technology Department of Mechatronics Gliwice Poland University of Catania Department of Electrical Electronics and Informatics Engineering Catania Italy Silesian University of Technology Department of Automatic Control and Robotic Gliwice Poland Silesian University of Technology Faculty of Applied Mathematics Department of Mathematics Applications and Methods for Artificial Intelligence Gliwice Poland

ISBN: (纸本)9798350326499

Several solutions have been proposed for vehicle navigation in unknown environments to ensure safer driving by avoiding obstacles and collisions. In this work, an electric vehicle equipped with Mecanum 4 omnidirectional holonomic wheels, analog joystick to control driving movement, LiDAR sensors and Wi-Fi able to detect obstacles is investigated based on neural network approach. By experimental tests conducted to avoid collisions by detecting the presence of obstacles, the relation between the resistance distance and speed is described by the artificial neural network. © 2023 IEEE.

关键词： Vehicle safety

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Threshold Wavelet Filtering of Images Based on Weight Model

Threshold Wavelet Filtering of Images Based on Weight Model

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2023 applied Mathematics, Computational Science and Mechanics: Current Problems, AMCSM 2023

作者： Lyasheva, Maya Lyasheva, Stella Shleymovich, Mikhail Kazan National Research Technical University Named after A.N. Tupolev-KAI Department for Automated Systems for Information Processing and Control Kazan Russia Kazan National Research Technical University Named after A.N. Tupolev-KAI Department for Applied Mathematics and Informatics Kazan Russia

ISBN: (纸本)9798350348576

Many modern information processing and control systems are based on computer vision technologies. In such systems, a number of tasks are solved, including the task of primary image processing. The primary processing is designed to transform the geometric, brightness and color characteristics of images, ensuring that they are brought to the best possible appearance for further analysis. Brightness conversion must be performed to implement image enhancement and restoration procedures. Threshold wavelet filtering is the basis of one of the frequently used approaches for solving these problems. To build the appropriate procedures in this article, it is proposed to use a weight model of the image. This model allows us to obtain estimates of the significance of the contribution of pixels to the total energy of the analyzed image. © 2023 IEEE.

关键词： Wavelet transforms

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Constrained Predictive Current control in dq Frame for a Permanent Magnet Synchronous Machine

Constrained Predictive Current Control in dq Frame for a Per...

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International Conference on Emerging Technologies and Factory Automation (ETFA)

作者： Madalin Costin Corneliu Lazar Dept.of Automatic Control and Applied Informatics "Gheorghe Asachi" Technical University of Iasi Iasi Romania Dept. of Automatic Control and Electrical Engineering "Dunarea de Jos" University of Galati Galati Romania

In the paper, the design and Simulink implementation of a predictive current control structure in dq frame for a permanent magnet synchronous machine (PMSM) are presented. Starting from the multivariable model of the currents in the dq reference frame, first it is decoupled and through the rejection of the disturbance introduced by the back-EMF, two single-input single-output (SISO) systems result whose dynamics are generated by R-L circuits. For these SISO systems, the model predictive control (MPC) algorithms are designed that allow the consideration of physical limitations through constraints The performances of the current control structure with MPC algorithms are compared with those obtained with the conventional PI controllers.

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Planning strategy based on visibility graph and traveling salesman problem with time window constraints

Planning strategy based on visibility graph and traveling sa...

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International Conference on System Theory, control, and Computing (ICSTCC)

作者： Mihaela-Alexandra Barb-Ciorbea Marius Kloetzer Cristian Mahulea Dept. of Automatic Control and Applied Informatics "Gheorghe Asachi" Technical University of Iasi Romania Aragón Institute of Engineering Research (I3A) University of Zaragoza Spain

ISBN: (数字)9798350364293

ISBN: (纸本)9798350364309

This paper addresses the problem of planning the motion of a mobile robot that has to visit some points of interest, each point having a specific time interval in which it can be reached. The robot is omnidirectional and it evolves with constant speed in an environment cluttered with polygonal obstacles. In the case of no obstacles, the problem would be a Travelling Salesman Problem with Time Window (TSPTW) constraints. Our solution is innovative by enabling obstacles for TSPTW scenarios, and it accomplishes this by coupling visibility graphs, graph reduction and mathematical programming. The method first constructs a visibility graph based on the obstacles and points to be visited, and then it maps this graph to another graph whose nodes correspond only to robot’s initial position and points of interest. Finally, a TSPTW problem is solved on the reduced graph by using a Mixed Integer Linear Programming (MILP) mathematical formulation, and the solution is projected to the initial environment. The solution development is accompanied by illustrative numerical simulations.

关键词： Computational modeling Traveling salesman problems Numerical simulation Trajectory Planning Mixed integer linear programming Time factors Mobile robots Collision avoidance Optimization

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Input and state constrained inverse optimal control with application to power networks

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IFAC-PapersOnLine 2023年第2期56卷 5451-5456页

作者： Taouba Kaouther Jouini Zhiyong Sun Venkatraman Renganathan Veit Hagenmeyer Institute of Automation and Applied Informatics (IAI) at Karlsruhe Institute of Technology Germany Department of Electrical Engineering Eindhoven University of Technology Netherlands Department of Automatic Control LTH Lund University Sweden

We study input and state constrained inverse optimal control problems starting from a stabilizing controller with a control Lyapunov function, where the goal is to make the controller an explicit solution of the resulting constrained optimal control problem. For an appropriate cost design and initial states for which a sublevel set of the Lyapunov function is contained in the state constraint set and the initial input lies on an ellipsoid inside the input constraint set, we show that the stabilizing controller solves the constrained optimal control problem. Compared to the state-of-the-art, we avoid solving nonlinear optimization problems evaluated pointwise, i.e., for every state, or in a repetitive fashion, i.e., at each time step. We apply our theoretical results to study the angular droop control studied in (Jouini et al., 2022) of an inverter-based power network. For this, we accommodate the constraints on the angle and power generation and exemplify our approach through a two-inverter case study.

关键词： Optimal control Non-Linear control Systems Networked Systems Power and Energy Systems

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