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Nodal Hydraulic Head Estimation through Unscented Kalman Filter for Data-driven Leak Localization in Water Networks ⁎

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IFAC-PapersOnLine 2024年第4期58卷 67-72页

作者： Luis Romero-Ben Paul Irofti Florin Stoican Vicenç Puig Institut de Robòtica i Informàtica Industrial CSIC-UPC Llorens I Artigas 4-6 08028 Barcelona Spain LOS-CS-FMI University of Bucharest Romania Department of Automation Control and Systems Engineering Politehnica University of Bucharest Romania Supervision Safety and Automatic Control Research Center (CS2AC) - UPC Campus de Terrassa Terrassa 08222 Barcelona Spain

In this paper, we present a nodal hydraulic head estimation methodology for water distribution networks (WDN) based on an Unscented Kalman Filter (UKF) scheme with application to leak localization. The UKF refines an initial estimation of the hydraulic state by considering the prediction model, as well as available pressure and demand measurements. To this end, it provides customized prediction and data assimilation steps. Additionally, the method is enhanced by dynamically updating the prediction function weight matrices. Performance testing on the Modena benchmark under realistic conditions demonstrates the method’s effectiveness in enhancing state estimation and data-driven leak localization.

关键词： Fault isolation water distribution system data fusion state estimation Unscented Kalman Filter

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Decomposing Two-Stage Stochastic Scheduling Problems on a continuous-time basis via Slot Similarity

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IFAC-PapersOnLine 2023年第2期56卷 10168-10173页

作者： Daniel Montes José Luis Pitarch César de Prada Department of Systems Engineering and Automatic Control Universidad de Valladolid Spain Instituto U. de Automática e Informática Industrial (ai2) Universitat Politècnica de Valencia Spain Institute of Sustainable Processes Universidad de Valladolid Spain

Incorporating uncertainty into process scheduling by explicitly considering future forecasts is crucial for achieving optimal and feasible solutions in practice. However, the complexity of two-stage stochastic scheduling formulations increases exponentially with the number of scenarios, making it difficult to solve large-scale problems in real-time using mathematical programming, which is often necessary for production-maintenance scheduling. This is where decomposition strategies on a scenario basis can be advantageous. Recently, the authors developed a method for decomposing two-stage scheduling problems (TSSPs) formulated on a discrete-time basis using the Similarity Index. This paper extends this concept to TSSPs formulated on a continuous-time basis by fuzzifying discrete decisions among slots instead of time periods, and incorporating the progressive-hedging algorithm to manage non-anticipativity in continuous decisions. The proposed algorithm is tested in a case study of a multiproduct plant consisting of a single processing unit from the literature. Results show that the proposed decomposition algorithm solves the problem faster than the monolithic formulation.

关键词： Efficient strategies for large-scale complex systems Modelling and decision-making in complex systems Two-Stage Stochastic Scheduling Decomposition Algorithm Real-time algorithms, scheduling, and programming

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Mathematical Modeling of a Special Induction Motor with a Double Squirrel Cage Rotor 20

Mathematical Modeling of a Special Induction Motor with a Do...

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20th IEEE International Conference on Modern Electrical and Energy systems, MEES 2021

作者： Tytiuk, Valerii Zachepa, Iurii Rudenko, Nikita Chenchevoi, Volodymyr Prokopenko, Vladimir Kobiliansky, Boris A«Kryvyi Rih National University» Department of Electromechanics State Institution of Higher Education Kryvyi Rih Ukraine Kremenchuk Mykhailo Ostrohradskyi National University Department of Systems of Automatic Control and Electric Drive Kremenchuk Ukraine Ukrainian Engineering Pedagogics Academy Department of Electromechanical and Computer Systems Kharkov Ukraine

ISBN: (纸本)9781665423663

On the basis of the theory of generalized electromechanical converter the mathematical model of a special induction motor with a double squirrel cage rotor that is presented in the form of a system of ordinary nonlinear differential equations 11 th order. The implementation of this model in MATLAB / Simulink is offered. The adequacy of the obtained model is substantiated by checking its parametric sensitivity and stability of the solution when choosing different numerical methods of integration of systems of differential equations. © 2021 IEEE.

关键词： Numerical methods

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A quantitative and constructive proof of Willems' Fundamental Lemma and its implications

arXiv

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arXiv 2022年

作者： Berberich, Julian Iannelli, Andrea Padoan, Alberto Coulson, Jeremy Dörfler, Florian Allgöwer, Frank University of Stuttgart Institute for Systems Theory and Automatic Control Stuttgart70550 Germany Department of Information Technology and Electrical Engineering ETH Zurich Zurich8092 Switzerland

Willems' Fundamental Lemma provides a powerful data-driven parametrization of all trajectories of a controllable linear time-invariant system based on one trajectory with persistently exciting (PE) input. In this paper, we present a novel proof of this result which is inspired by the classical adaptive control literature and differs from existing proofs in multiple aspects. The proof involves a quantitative and directional PE notion, allowing to characterize robust PE properties via singular value bounds, as opposed to binary rank-based PE conditions. Further, the proof is constructive, i.e., we derive an explicit PE lower bound for the generated data. As a contribution of independent interest, we generalize existing PE results from the adaptive control literature and reveal a crucial role of the system's zeros. Copyright © 2022, The Authors. All rights reserved.

关键词： Linear time-invariant system

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Training virtual reality-based system for detection and simulation of motors failures 4

Training virtual reality-based system for detection and simu...

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4th International Conference on Mechanical, Electric and Industrial engineering, MEIE 2021

作者： Riofrio-Morales, Marco Garcia, Marcelo V. Faculty of Systems Electronics and Industrial Engineering Universidad Tecnica de Ambato De los Chasquis Av. Ambato180103 Ecuador Department of Automatic Control and Systems University of the Basque Country Torres Quevedo Ingeniaria Plaza Bilbao48013 Spain

The need to have human resources trained efficiently is imperative. However, most industries do not give it the necessary importance. Similarly, staying technologically up-to-date allows the industrial sector to optimize its resources and satisfy the needs of its customers. This research presents the development of a virtual reality (VR) system for learning fault detection and correction in induction motors. It has been compared to a conventional methodology in terms of time and acquired knowledge. A 58% reduction was observed in the first parameter, while for the second, a p-value of 0.0000005 was obtained, thus demonstrating that this system is more efficient than conventional training in terms of learning. Finally, its usability was evaluated with the VRUSE method, with averages above 3.8 and standard deviations below 0.70. © Published under licence by IOP Publishing Ltd.

关键词： Induction motors

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Towards Data-Driven Modelling of Sumoylation following Heat Shock 7

Towards Data-Driven Modelling of Sumoylation following Heat ...

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7th International Conference on Biomedical and Bioinformatics engineering, ICBBE 2020

作者： Zhang, Manyu Zhang, Yifei Zhao, Alice Guo, Chun Guo, Lingzhong University of Sheffield United Kingdom The University of Sheffield Department of Automatic Control and Systems Engineering United Kingdom The University of Sheffield Department of Biomedical Science United Kingdom The University of Sheffield Department of Automatic Control and Systems Engineering INSIGNEO Institute for in Silico Medicine United Kingdom

ISBN: (纸本)9781450388221

Understanding how cell fate is determined when exposed to extreme stresses such as heat shock is critical in biomedical systems. It has long been understood that exposure of cells to high temperature typically protect themselves with a heat shock response (HSR), where accumulation of denatured or unfolded proteins triggers the synthesis of heat shock proteins (HSPs) through the heat shock transcription factor, e.g., heat shock factor 1 (HSF1). Recent experimental work has also shown that protein posttranslational modifications (PTMs) such as SUMOylation play crucial roles in cellular responses to heat shock. As a complementary approach to the current experimental methodologies, in this study we aim to develop a mathematical model of SUMOylation-development synergism of HSR for the purpose of studying the dynamical behaviour of HSR quantitatively. The structure of our dynamical model is derived mostly from mass action kinetics while the model parameters are optimized by using a genetic algorithm (GA) based data-driven approach. The preliminary results show GA based data-driven approach has potentials for our modelling purpose. © 2020 ACM.

关键词： Genetic algorithms

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Biomarkers and neuromodulation techniques in substance use disorders

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Bioelectronic Medicine 2020年第1期6卷 1页

作者： Habelt, Bettina Arvaneh, Mahnaz Bernhardt, Nadine Minev, Ivan Department of Psychiatry and Psychotherapy Medical Faculty Carl Gustav Carus Technische Universität Dresden Dresden Germany Department of Automatic Control and Systems Engineering University of Sheffield Sheffield United Kingdom

Addictive disorders are a severe health concern. Conventional therapies have just moderate success and the probability of relapse after treatment remains high. Brain stimulation techniques, such as transcranial Direct Current Stimulation (tDCS) and Deep Brain Stimulation (DBS), have been shown to be effective in reducing subjectively rated substance craving. However, there are few objective and measurable parameters that reflect neural mechanisms of addictive disorders and relapse. Key electrophysiological features that characterize substance related changes in neural processing are Event-Related Potentials (ERP). These high temporal resolution measurements of brain activity are able to identify neurocognitive correlates of addictive behaviours. Moreover, ERP have shown utility as biomarkers to predict treatment outcome and relapse probability. A future direction for the treatment of addiction might include neural interfaces able to detect addiction-related neurophysiological parameters and deploy neuromodulation adapted to the identified pathological features in a closed-loop fashion. Such systems may go beyond electrical recording and stimulation to employ sensing and neuromodulation in the pharmacological domain as well as advanced signal analysis and machine learning algorithms. In this review, we describe the state-of-the-art in the treatment of addictive disorders with electrical brain stimulation and its effect on addiction-related neurophysiological markers. We discuss advanced signal processing approaches and multi-modal neural interfaces as building blocks in future bioelectronics systems for treatment of addictive disorders. © 2020, The Author(s).

关键词： Closed loop systems

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Tracking Trajectory by Using The Polynomial Method for ACC System Based on Smart Car Platform

Tracking Trajectory by Using The Polynomial Method for ACC S...

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International Conference on engineering of Modern Electric systems (EMES)

作者： Duc Lich Luu Nguyen Viet Hung Ciprian Lupu Faculty of Transportation Mechanical Engineering University of Science and Technology The University of Danang Da Nang Vietnam Faculty of Information Technology East Asia University of Technology Bac Ninh VietNam Department of Automatic Control and Systems Engineering University Politehnica of Bucharest Bucharest Romania

A well-known advanced driver assistance technology that can be employed for that is the Adaptive Cruise control System (ACC). Cars equipped with ACC system are to control the car speed to follow a driver's set speed closely when there is no leading car. When a slower leading car is present based on distance sensor, the ACC controlled car are able to keep desired distance with respect to the position and velocity of the car in front. This paper presents a design methodology of Adaptive Cruise control (ACC) system for two smart car platform consist of the leading smart car and a host smart car move on a single lane on a laboratory installation. RST algorithm in the multi algorithms structure is proposed to design in real-time architecture for ACC system. RST algorithm is one of the most effective solutions for the real-time control of nonlinear systems or working regimes. The results of the experiment have been conducted to illustrate the effectiveness of the proposed algorithm.

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control Strategy for a Quadrotor Based on a Memetic Shuffled Frog Leaping Algorithm

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Computers, Materials & Continua 2021年第6期67卷 4081-4100页

作者： Nour Ben Ammar Hegazy Rezk Soufiene Bouallègue Research Laboratory in Automatic Control(LARA) National Engineering School of Tunis(ENIT)University of Tunis EL MANARLe BelvédèreTunis1002Tunisia College of Engineering at Wadi Addawaser Prince Sattam Bin Abdulaziz UniversityAl-Kharj11911Saudi Arabia Department of Electrical Engineering Faculty of EngineeringMinia UniversityMinia61517Egypt High Institute of Industrial Systems of Gabès(ISSIG) University of GabèsGabès6011Tunisia

This work presents a memetic Shuffled Frog Leaping Algorithm(SFLA)based tuning approach of an Integral Sliding Mode controller(ISMC)for a quadrotor type of Unmanned Aerial Vehicles(UAV).Based on the Newton–Euler formalism,a nonlinear dynamic model of the studied quadrotor is firstly established for control design *** the main parameters of the ISMC design are the gains of the sliding surfaces and signum functions of the switching control law,which are usually selected by repetitive and time-consuming trials-errors based procedures,a constrained optimization problem is formulated for the systematically tuning of these unknown *** time-domain operating constraints,such an optimization-based tuning problem is effectively solved using the proposed SFLA metaheuristic with an empirical comparison to other evolutionary computation-and swarm intelligence-based algorithms such as the Crow Search Algorithm(CSA),Fractional Particle Swarm Optimization Memetic Algorithm(FPSOMA),Ant Bee Colony(ABC)and Harmony Search Algorithm(HSA).Numerical experiments are carried out for various sets of algorithms’parameters to achieve optimal gains of the sliding mode controllers for the altitude and attitude dynamics *** studies revealed that the SFLA is a competitive and easily implemented algorithm with high performance in terms of robustness and non-premature *** results verified that the proposed metaheuristicsbased approach is a promising alternative for the systematic tuning of the effective design parameters in the integral sliding mode control framework.

关键词： Quadrotor modeling integral sliding mode control gains tuning advanced metaheuristics memetic algorithms shuffled frog leaping algorithm

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Tracking-in-range Formulations for Numerical Optimal control

arXiv

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arXiv 2024年

作者： Ramesh, Nikilesh Kerrigan, Eric C. Nie, Yuanbo Interdisciplinary Programmes in Engineering University of Sheffield SheffieldS10 2TN United Kingdom Department of Electrical & Electronic Engineering Department of Aeronautics Imperial College London LondonSW7 2AZ United Kingdom Department of Automatic Control and Systems Engineering University of Sheffield SheffieldS10 2TN United Kingdom

In contrast to set-point tracking which aims to reduce the tracking error between the tracker and the reference, tracking-in-range problems only focus on whether the tracker is within a given range around the reference, making it more suitable for the mission specifications of many practical applications. In this work, we present novel optimal control formulations to solve tracking-in-range problems, for both problems requiring the tracker to be always in range, and problems allowing the tracker to go out of range to yield overall better outcomes. As the problem naturally involves discontinuous functions, we present alternative formulations and regularisation strategies to improve the performance of numerical solvers. The extension to in-range tracking with multiple trackers and in-range tracking in high dimensional space are also discussed and illustrated with numerical examples, demonstrating substantial increases in mission duration in comparison to traditional set-point tracking. Copyright © 2024, The Authors. All rights reserved.

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