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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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Robust control of a Three-Phase Synchronous In-wheel Motor

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IFAC-PapersOnLine 2021年第20期54卷 632-637页

作者： Răzvan Mocanu Alexandru Onea Automatic Control and Applied Informatics Department Gheorghe Asachi Technical University of Iasi Romania

This paper discusses a robust torque and speed control strategy for an In-wheel Brushless DC Synchronous Machine (IWBLDC). In addition, we introduce a novel processing pipeline to increase the precision of angle measurement from a reduced set of square-wave Hall sensors. The disturbances in the electrical subsystem, including the trapezoidal back-electromotive force, are estimated with a disturbance observer. We add a correction term to ensure the rejection of variations of parameters and cancel coupling effects between the stator axis. The algorithm is executed on the digital signal processor TMS320f28379d and validated on a test bench equipped with a 500W nominal power IWBLDC.

关键词： Brushless motors Digital signal processors Automotive control Robust control Inverter drives

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A Markov Model for a Self-Powered Green IoT Device with State-Dependent Energy Consumption

A Markov Model for a Self-Powered Green IoT Device with Stat...

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Communications, Information, Electronic and Energy Systems (CIEES), International Conference on

作者： Godlove Suila Kuaban Tadeusz Czachórski Erol Gelenbe Sapana Sharma Piotr Czekalski Polish Academy of Sciences (IITiS-PAN) Institute of Theoretical and Applied Informatics Gliwice Poland Department of Mathematics MMEC Maharishi Markandeshwar Mullana Haryana India Faculty of Automatic Control Electronics and Informatics Silesian University of Technology Gliwice Poland

The growing concerns about the resource sustainability and environmental impact of deploying billions or trillions of IoT devices in the various sectors of society or economy have given rise to an energy research field known as Green-IoT (G-IoT). G-IoT emphasises the need to prioritise energy efficiency and the reduction of pollution in the IoT ecosystem. This paper presents a Markov model for a self-powered Green IoT device with state-dependent energy consumption. The model evaluates the energy performance of a self-powered Green IoT device. We derive the probability distribution of the energy content of the battery, including the probability that the energy stored in the battery is completely depleted and the density of the lifetime of the IoT device. We investigate the influence of some design parameters on the results. Introducing the threshold at which the device is forced to enter an energy-saving regime significantly increases a G-IoT device's lifetime. Apart from deploying energy-efficient mechanisms to increase the lifetime of a G-IoT device, integrating an efficient energy harvesting system into the device will increase its lifetime and reduce the frequency of battery replacement.

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A Hybrid Adaptive Filter for Head Tracking in Augmented Reality (AR)-based Flight Simulators

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IEEE Transactions on Computers 2025年

作者： Nwobodo, Onyeka J. Kuaban, Godlove Suila Nkemeni, Valery Wereszczynski, Kamil Cyran, Krzysztof A. Silesian University of Technology Department of Computer Graphics Vision and Digital Systems Faculty of Automatic Control Electronics and Computer Science Gliwice Poland Polish Academy of Sciences Institute of Theoretical and Applied Informatics Poland University of Buea Laboratory of Electrical Engineering and Computing Faculty of Engineering and Technology Buea Cameroon

This paper presents a novel approach for head tracking in augmented reality (AR) flight simulators using an adaptive fusion of Kalman and particle filters. This fusion dynamically balances the strengths of both algorithms, leveraging Kalman filters for computational efficiency and particle filters for handling non-linearities based on real-time factors such as sensor noise and head movement patterns. Our method demonstrates superior tracking precision and reduced latency, making it particularly effective for immersive pilot training in AR-based flight simulations. While focused on flight simulation, our approach holds high potential for broader applications in other AR and virtual reality (VR) environments where precise, real-time head tracking is crucial. These results provide actionable design guidance for developers optimizing tracking systems in environments that require fast response times and high accuracy. Future extensions of this research could explore the generalization of our approach across diverse AR applications, including human-computer interaction (HCI), medical simulations, and gaming. © 1968-2012 IEEE.

关键词： Flight simulators

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Velocity Computation for Vehicle Trajectory Tracking: A Comparative Analysis of Performance and Efficiency

Velocity Computation for Vehicle Trajectory Tracking: A Comp...

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International Conference on control Systems and Computer Science (CSCS)

作者： Georgiana-Sinziana Pauca Constantin Florin Caruntu Department of Automatic Control and Applied Informatics Gheorghe Asachi Technical University of Iasi Iasi Romania Safety and Motion Iasi Romania Software and Central Technologies Continental Automotive Romania Iasi Romania

Vehicles are a common topic and of great interest in the modern society in which we live. Their automation and the implementation of mechanisms and functionalities make driving easier and easier. The desire to completely exclude driving for every individual who owns a car has captured the interest of engineers and scientists in the automotive field. This paper aims to present such an algorithm that calculates a profile of the maximum velocity with which the car can travel on a certain trajectory. To illustrate the accuracy and to demonstrate the effectiveness of the proposed algorithm, three different scenarios were implemented. For each scenario, three maximum speeds were given with which the car can travel, to demonstrate that regardless of its power, each maneuver will be completed with the same minimum speed. To control the dynamical system, an advanced control method, the predictive control strategy, was implemented, which generated satisfactory results in each presented case.

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A MATLAB virtual laboratory to support learning of auto-tuning PID approaches

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IFAC-PapersOnLine 2024年第7期58卷 73-78页

作者： J.A. Rossiter A. Visioli S. Dormido R. Bars Department of Automatic Control and Systems Engineering University of Sheffield Sheffield S1 3JD UK Dipartimento di Ingegneria Meccanica e Industiale University of Brescia Italy Universidad Nacional de Educacion a Distancia Madrid Spain Department of Automation and Applied Informatics Budapest University of Technology and Economics Hungary

This paper presents a small number of MATLAB APPs and livescript files designed to help students both understand and implement PID tuning. The paper presents the thinking behind the use of MATLAB and the topic itself before then describing the proposed resources in detail. The resources split into files with detailed mathematical and coding background students can use for self-study and assignments, and a virtual laboratory which is more intuitive and interactive and useful for familiarisation with core concepts. The files were recently added to the control101 toolbox (Rossiter, 2023).

关键词： control101 toolbox PID compensation virtual laboratories independent learning

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Bio-inspired control by overlapping adaptive clusters: a vehicle platoon case study

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IFAC-PapersOnLine 2023年第2期56卷 1460-1465页

作者： Ovidiu Pauca Anca Maxim José M. Maestre Constantin F. Caruntu “Gheorghe Asachi” Technical University of Iasi Department of Automatic Control and Applied Informatics Blvd. D. Mangeron 27 700050 Iasi Romania University of Seville Department of Systems and Automation Engineering Camino Descubrimientos S/N.- Isla Cartuja 41092 Seville Spain

Clustering vehicles in a platoon by exchanging information through communication networks leads to an improvement in their performance with a moderate cooperation effort. In particular, in this paper, a bio-inspired methodology for overlapping coalitions of vehicles is proposed, which optimizes communication and control performance. The results obtained using the proposed adaptive clusters method are compared with the ones obtained by a conventional coalitional control strategy, and the comparison illustrates the improved efficiency of the proposed method.

关键词： Bio-inspired control coalitional control overlapping topology vehicle platoon

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Truetime-based analysis of the communication networks used in vehicle control structures 21

Truetime-based analysis of the communication networks used i...

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21st IEEE International Carpathian control Conference, ICCC 2020

作者： Caruntu, Constantin F. Varga, Virgil Pauca, Ovidiu Gheorghe Asachi Technical University of Iasi Department of Automatic Control and Applied Informatics Iasi Romania

ISBN: (纸本)9781728119519

control through communication networks, e.g., local interconnect network (LIN), controller area network (CAN), FlexRay, Ethernet, in automotive systems has become a necessity nowadays. Although the advantages brought by their introduction worth the implementation, there are also some disadvantages. Their adverse effects on the performances and stability of control systems have to undergo serious analysis and design *** proposed architectures for the control structure and the compensation methodology. As such, this paper proposes a theoretical and practical analysis of the two most used communication networks in the automotive domain, i.e., CAN and FlexRay. The theoretical analysis tackles the most important properties of these two networks, describing briefly their advantages and disadvantages. The practical analysis *** time-varying delays induced by CAN and FlexRay communication networks on the control performances of a vehicle powertrain is performed using the TrueTime toolbox for Matlab. To do the comparative analysis, a predictive controller was designed and implemented, and the results illustrate that the obtained performances are not degraded even when time-varying delays are induced by both communication networks. © 2020 IEEE.

关键词： Model predictive control

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Real-time Pricing Mechanism for V2G Using Distributed Bilevel Optimization

Real-time Pricing Mechanism for V2G Using Distributed Bileve...

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IEEE Conference on Decision and control

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

ISBN: (数字)9798350316339

ISBN: (纸本)9798350316346

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.

关键词： Vehicle-to-grid Simulation Pricing Prediction algorithms Real-time systems Robustness Convergence Load flow Energy storage Predictive control

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Implementation of a Virtual control Lab to Support Teaching in Engineering control 11

Implementation of a Virtual Control Lab to Support Teaching ...

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11th International Conference and Exposition on Electrical And Power Engineering, EPE 2020

作者： Dosoftei, Constantin-Catalin Cojocaru, Andreea-Elena Gheorghe Asachi' Technical University of Iasi Department of Automatic Control and Applied Informatics Iasi Romania

ISBN: (纸本)9781728181264

Because engineering is a practicing profession, laboratory experiments are considered to be an imperative component of engineering curricula by all stakeholders involved in the education process. Therefore, virtual and remote laboratories represent unique solutions to support teaching activities in online learning from the actual condition of the 2020 year. This paper describes a case study of implementation for a virtual twin of a pneumatic workstation using facilities offered by Automation StudioTM software. The challenges and opportunities from engineering education make from the virtual lab a bridge to Industry 4.0 paradigms, reaching superior modelling and simulation techniques. Furthermore, this paper highlights some advantages of approaching virtual experiments over real ones. © 2020 IEEE.

关键词： Engineering education

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