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21st IEEE International Conference on Sciences and Techniques of Automatic control and Computer engineering, STA 2022

作者： Arichi, Fayssal Cherki, Brahim Djemai, Mohamed Engin, Seref Naci Ecole Supérieure en Sciences Appliquées Tlemcen Algeria Algeria LAMIH CNRS Umr 8201 UVHC ValenciennesF-59313 France QUARTZ Laboratory Cergy95000 France Yildiz Technical University Faculty of Electrical and Electronics Engineering Department of Control and Automation Engineering Istanbul Turkey

ISBN: (纸本)9781665482615

This paper investigates the problem of diagnosing discrete faults for a class of hybrid dynamical systems, where the evolution of the discrete state is led by a set of discrete modes governed by a partially observed Petri net which means that we can know the activation of some discrete modes and the firing of some switching conditions. The considered class may have several modes evolving simultaneously. The modes can be associated with normal or faulty operating conditions. Therefore, the knowledge of the current mode represents the coeur part of the proposed diagnosis approach. We present at first an asymptotic observer to detect both the activation of discrete modes and the switching conditions. Then, we propose an algorithm to diagnose faults using the estimated discrete states provided by the observer. Simulation results show the effectiveness of the proposed approach. © 2022 IEEE.

关键词： Petri nets

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Design of a Low-Cost Force Insoles to Estimate Ground Reaction Forces During Human Gait

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SSRN 2024年

作者： Guevara, Nelson Eduardo Rengifo, Carlos Felipe Bolaños, Yamir Hernando Fernández, Daniel Alberto Sierra, Wilson Alexander Rodríguez, Luis Eduardo Research Group of Automation Universidad del Cauca Colombia Department of Electronic Intrumentation and Control Universidad del Cauca Colombia Faculty of Electronic Engineering Corporación Universitaria Autónoma del Cauca Colombia Faculty of Biomedical Engineering Escuela Colombiana de Ingeniería Julio Garavito Colombia

This paper proposes a low-cost electronic system for estimating ground reaction forces (GRF) during human gait. The device consists of one master node and two slave nodes. The master node sends instructions to slave nodes that sample and store data from two force insoles located at the participant’s feet. These insoles are equipped with 14 piezo-resistive FlexiForce A301 sensors (FSR). The slave nodes are attached to the ankles and feet of each participant. Subsequently, the start command is transmitted through the master node, whichis connected to the USB port of a personal computer (PC). Once the walking session is completed, the information obtained by the slave nodes can be downloaded by accessing the access point generated by these devices through Wi-Fi communication. The GRF estimation system was validated with force platforms (BTS Bioengineering P6000, Italy), giving on average a fit measure equal to 68.71% +/- 4.80% in dynamic *** versions of this device are expected to increase this fit by using machine learning models. © 2024, The Authors. All rights reserved.

关键词： 3D printing

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A Learning-Based controller for Trajectory Tracking of Autonomous Vehicles in Complex and Uncertain Scenarios

A Learning-Based Controller for Trajectory Tracking of Auton...

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International Conference on Intelligent Transportation

作者： Cheng Gong Runqi Qiu Yunlong Lin Zirui Li Jianwei Gong Chao Lu School of Mechanical Engineering Beijing Institute of Technology Beijing China Chair of Traffic Process Automation “Friedrich List” Faculty of Transport and Traffic Sciences TU Dresden Dresden Germany

This paper proposes a learning-based controller for autonomous driving in dynamic and uncertain environments. The controller leverages imitation learning to initialize the neural network parameters from demonstrations of human expert drivers and then updates the policy with online data samples using incremental learning methods. The controller aims to fit the vehicle's inverse dynamics and cope with external disturbances such as varying adhesion coefficients. To avoid catastrophic forgetting and fit the optimal policy, a knowledge evaluation method and a gradient constraint scheme are introduced. The effectiveness and robustness of the controller are demonstrated by a vehicle dynamics simulation model in MATLAB/Simulink. The experimental results show that the proposed method can adapt to complex curve environments with varying adhesion coefficients under high-speed driving conditions and is able to continuously improve control performance through incremental learning.

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Input–to–state stability of dissipative PI control for a class of semilinear heat equations

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IFAC-PapersOnLine 2021年第19期54卷 281-286页

作者： A. Schaum P. Feketa T. Meurer Chair of Automatic Control Faculty of Engineering Kiel University 24143 Kiel Germany

The input–to–state stability (ISS) of dissipative PI control for a class of semilinear heat equations is addressed. Based on recent results on sufficient conditions for closed–loop exponential stability of dissipative PI control for the considered system class with actuator offsets (Schaum et al., 2020) the behavior in presence of unmatched distributed disturbances and measurement uncertainties is explicitly delimited. For this purpose the obtained dissipativity inequalities are connected with Lyapunov characterizations of ISS. An optimization procedure for the choice of sensor and actuator locations as well as the control gains is proposed. The results are illustrated using numerical simulations.

关键词： Semilinear heat equations PI control dissipativity disturbances input–to–state stability

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Exchange Strategies for Multi-Colony Ant Algorithms in Dynamic Environments

Exchange Strategies for Multi-Colony Ant Algorithms in Dynam...

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Congress on Evolutionary Computation

作者： Michalis Mavrovouniotis Changhe Li Danial Yazdani Diofantos Handjimitsis ERATOSTHENES Centre of Excellence Limassol Cyprus Department of Civil Engineering and Geomatics Cyprus University of Technology Limassol Cyprus Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems School of Automation China University of Geosciences Wuhan China Faculty of Engineering & Information Technology University of Technology Sydney Sydney Australia

ISBN: (数字)9798350308365

ISBN: (纸本)9798350308372

In dynamic optimization problems where optimal solutions change over time, traditional ant colony optimization (ACO) algorithms face limitations. This study explores the adaptation of multi-colony ACO algorithms, known for their enhanced search capabilities in stationary problems, to tackle optimization problems in dynamic environments. Various strategies for exchanging information between colonies, which is a critical factor influencing algorithm performance, are investigated. Using the dynamic traveling salesman problem as a foundation, we generate test cases to reflect real-world complexities. Our results on a set of problem instances reveal that the choice of communication strategy between colonies significantly impacts the adaptability and efficiency of multi-colony ACO algorithms in tracking moving optimum.

关键词： Schedules Satellites Processor scheduling Heuristic algorithms Evolutionary computation Traveling salesman problems Search problems

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A Numerical Analysis of Pressure Characteristics in the Deflector Jet Pilot Stage Valve with an Innovative Deflector Deflection

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SSRN 2024年

作者： Li, Songjing Saha, Bijan Krishna Shakib, Md. Shah Najmus Peng, Jinghui Jihan, Jahidul Islam Department of Fluid Control and Automation Harbin Institute of Technology Harbin150001 China Department of Mathematics Faculty of Science and Engineering University of Barishal Barishal8254 Bangladesh Harbin Institute of Technology China

Electric-hydraulic servo-valves are extensively used in the aerospace, mechanical, and aerodynamics industries to control missile wings or airplanes precisely. Aiming to reduce undesired flow phenomena inside the deflector jet pilot valve, innovative deflections of deflector are proposed in this paper. A numerical analysis is performed using STAR CCM+ to investigate the pressure and flow characteristics inside the pilot stage of deflector jet servo-valve. For observing the pressure, cavitation and flow characteristics, the Eulerian multi-phase model, VOF phase interaction, and realizable model for the turbulent flow are used during numerical simulations. The supply and outlet pressure are kept at 24 MPa and 1 MPa, respectively. To verify the calculated numerical results for turbulent flows, the velocity distribution to the V-groove exit of the deflector jet pilot stage is calculated and discussed with the theoretical results. The numerically calculated results show good agreement with published analytical results. The result shows that by the innovative rotation of the deflector both in clockwise and anti-clockwise directions, significant pressure in the receivers is obtained than traditionally moving deflector to the left and right for the same supply pressure. Moreover, when the deflector is positioned clockwise or anti-clockwise by 5 degrees, less cavitation is observed than in the traditional model. The key finding of this paper shows that innovative structural optimization of the amplifier disk and deflector is of utmost importance. © 2024, The Authors. All rights reserved.

关键词： Computational fluid dynamics

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Optimal Energy Management of Storage-Assisted Distribution Network for Operating Cost Reduction: Considering Effects of Different Seasons

Optimal Energy Management of Storage-Assisted Distribution N...

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International Conference on Electric Power and Energy Conversion Systems (EPECS)

作者： Fatma Avli Firis Ali Rifat Boynuegri Aydin Yesildirek Seref Naci Engin Department of Electrical and Electronic Engineering Kahramanmaras Sutcu Imam University Kahramanmaras Türkiye Department of Electrical Engineering Clean Energy Technologies Institute Yildiz Technical University Istanbul Türkiye Department of Mechatronics Faculty of Mechanical Engineering Yildiz Technical University Istanbul Türkiye Department of Control and Automation Faculty of Electrical and Electronics Engineering Yildiz Technical University Istanbul Türkiye

ISBN: (数字)9798331516963

ISBN: (纸本)9798331516970

This paper introduces a framework to reduce operational costs in active distribution systems by utilizing battery energy storage systems. It employs a two-stage stochastic programming approach involving Here-and-Now and Wait-and-See decisions. The scheduling problem is studied as a mixed-integer linear programming model in GAMS and solved using the CPLEX solver. A feeder from an active electricity distribution network is chosen to demonstrate the effectiveness of the proposed method. Operating costs are evaluated under varying scenarios with and without energy storage across seasons. The research contributes to the literature by providing a comprehensive analysis of the strategic role of Battery Energy Storage System in optimizing operational efficiency and enhancing flexibility in active distribution networks. The findings underscore the critical value of energy storage in reducing costs and managing uncertainties in energy operations, as validated by the simulation results demonstrating the economic benefits of the proposed strategy.

关键词： Costs Uncertainty Profitability Battery energy storage system Simulation Stochastic processes Distribution networks Electrical power distribution Programming Springs

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Rethinking Trajectory Prediction in Real-World Applications: An Online Task-Free Continual Learning Perspective

Rethinking Trajectory Prediction in Real-World Applications:...

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International Conference on Intelligent Transportation

作者： Yunlong Lin Zirui Li Cheng Gong Qi Liu Chao Lu Jianwei Gong School of Mechanical Engineering Beijing Institute of Technology Beijing China Chair of Traffic Process Automation “Friedrich List” Faculty of Transport and Traffic Sciences TU Dresden Dresden Germany

Trajectory prediction is essential in improving the safety of automated vehicles (AVs), However, most learning-based models only aim to improve the trajectory prediction accuracy and are tested offline in evaluations. When additional data come from a new environment, the offline models need to be re-trained with both the new and old data to avoid catastrophic forgetting of previously learned knowledge. Moreover, all data from a new environment is assumed to be available simultaneously, conflicting with the online data collection of AVs in the real world. Considering these problems, this paper rethinks the research orientation of trajectory prediction. First, a novel learning paradigm named online task-free continual learning (OTFCL) is proposed, highlighting new goals, including learning online data from new environments efficiently and avoiding catastrophic forgetting without re-training. Then, according to the goals of OTFCL, a testing methodology is designed for a comprehensive evaluation of trajectory prediction. Finally, a state-of-the-art model is evaluated in experiments by applying the proposed testing methodology based on the INTERACTION dataset. Experimental results reveal limitations of the state-of-the-art model in real-world applications, and potential solutions based on OTFCL to overcome these limitations are also discussed.

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Optimal Sensor Placement for Temperature control in a Deep Drawing Tool ⁎

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IFAC-PapersOnLine 2021年第11期54卷 91-96页

作者： Malte Wrobel Thomas Meurer Chair of Automatic Control Faculty of Engineering Kiel University Kiel 24143 Germany

Deep drawing is one of the most important forming processes for shaping flat sheet blanks. One problem of this technique is the formation of wrinkles and the occurrence of cracks especially in areas of high geometric complexity. The local increase of the temperature in critical areas can help to increase the flowability and thus reduce defects. This requires to include sensors and actuators at appropriate locations in tool. The present paper aims at systematically placing sensors in the die of a specifically manufactured deep-drawing mold to develop an observer for the spatial-temporal temperature evolution. The latter forms the basis for targeted intervention by built-in actuators. A continuum representation of the temperature distribution in the die is derived and transferred to a high order finite element (FE) approximation to take the complex-shaped geometry of the tool into account. The model is segmented and model order reduction (MOR) techniques are applied to determine a sufficiently low order system representation that is applicable for optimal sensor placement. For this, a mixed-integer optimization problem is formulated and solved making use of different reduced-order formulations of the observability Gramian and suitable measures for interpretation. Furthermore a Kalman filter is implemented based on a reduced order model to evaluate the performance of the different sensor placements.

关键词： Optimal Sensor Placement Partial Differential Equations Finite Element Method Deep Drawing Model Order Reduction Metal Sheet Forming Software Sensor Observers

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Assessment of Atmospheric Radiation Effects on Aircraft Safety Analysis

Assessment of Atmospheric Radiation Effects on Aircraft Safe...

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International Conference on Recent Advances in Space Technologies (RAST)

作者： Ayçin Gürdamar Şeref Naci Engin Department of Avionics Engineering Graduate School of Science and Engineering Yıldız Technical University Istanbul Türkiye Department of Control and Automation Engineering Electrical and Electronics Faculty Yıldız Technical University Istanbul Türkiye

This paper discusses the importance of safety engineering in the identification, mitigation, and elimination of hazards to achieve an acceptable level of risk for a product or system throughout its life cycle. Safety analysis is essential to airworthiness regulations and is required for the certification of a product, ensuring compliance with the related type certificate release and hence safety requirements. It involves evaluating functional hazard scenarios for each system function and classifying them in terms of severity. It focuses on the occurrence frequency of critical systematic and random failure conditions. This is achieved through fault tree analysis of combinations of failure conditions. The paper presents a generic study on atmospheric radiation effects on aircraft and methods for analytical calculation of system reliability characteristics using qualitative and quantitative analyses on susceptible parts and qualitative analysis at system and aircraft levels. The outcome of the study is the achievement of a sufficient confidence level of see for aircraft altitudes up to 35000ft with both calculation and observation results. Avionics operating at altitudes between 35000-60,000 feet constitute a risk factor and should be analysed case by case.

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