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检索条件"任意字段=IFAC Symposium on Modelling and Control in Biomedical Systems"

共 1735 条记录，以下是1-10 订阅

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modelling and Simulation of Thermal Power Generation systems with Modelica: 20 Years of Experience with the ThermoPower Library 12

Modelling and Simulation of Thermal Power Generation Systems...

引用

12th ifac symposium on control of Power and Energy systems (CPES)

作者： Casella, Francesco Leva, Alberto Politecn Milan DEIB Milan Italy

This paper summarizes 20 year of experience by the authors with the ThermoPower library, an open-source Modelica library containing basic components for the dynamic modelling of thermal power generation processes, oriented to control studies. The structure and design principles of the library are reviewed, alongside several successful applications of it to various kinds of thermal power generation systems. Copyright (C) 2024 The Authors. This is an open access article under the CC BY-NC-ND license (https://***/licenses/by-nc-nd/4.0/)

关键词： Power systems Object-oriented modeling and simulation Model-based control design Model-based engineering

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Learning-based MPC with uncertainty estimation for resilient microgrid energy management 12

Learning-based MPC with uncertainty estimation for resilient...

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12th ifac symposium on Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS)

作者： Casagrande, Vittorio Ferianc, Martin Rodrigues, Miguel Boem, Francesca UCL Dept Elect & Elect Engn London England

To enhance fault resilience in microgrid systems at the energy management level, this paper introduces a novel proactive scheduling algorithm, based on uncertainty modelling thanks to a specifically designed neural network. The algorithm is trained and deployed online and it estimates uncertainties in predicting future load demands and other relevant profiles. We integrate the novel learning algorithm with a stochastic model predictive control, enabling the microgrid to store sufficient energy to adaptively deal with possible faults. Experimental results show that a reliable estimation of the unknown profiles' mean and variance is obtained, improving the robustness of proactive scheduling strategies against uncertainties. Copyright (c) 2024 The Authors.

关键词： Energy Management systems Microgrid Model Predictive control Online Learning Uncertainty Estimation

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Electric Vehicle modelling Applied to Dynamic Wireless Charging: Case Study 12

Electric Vehicle Modelling Applied to Dynamic Wireless Charg...

引用

12th ifac symposium on control of Power and Energy systems (CPES)

作者： Saldarini, Alessandro Molinari, Francesca Longo, Michela Brenna, Morris Zaninelli, Dario Mastroviti, Giuseppe Lupi, Gianfermo Politecn Milan Dept Energy I-20156 Milan Italy A35 Brebemi SPA I-25032 Chairi Italy

This paper focuses on a novel solution, Dynamic Wireless Charging, which is investigated to enhance the accessibility of electric vehicle charging. The study centres around a specific case, the "Arena of the Future" project, in which an experimental campaign is conducted, simulating various driving scenarios to assess the performance and efficiency of Dynamic Wireless Charging. The tests reveal insights into energy charged, state of charge variations, and the impact of driving styles on charging efficiency. To complement the empirical findings, a scalable model is developed, incorporating forces acting on the electric vehicle for estimating consumptions and recharged energy. The model is validated through a comprehensive comparison with experimental results. The percentage error between model predictions and experimental data varied from 9% to 38%. Results and discussions underscore the model's tendency to overestimate energy recharged, providing valuable insights into the recharging efficiency concerning different speed profiles and driving styles.

关键词： Dynamic Wireless Charging Electric Mobility Electric Vehicle modelling Smart Green Road

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Dynamic modelling of the longitudinal movement of an electric vehicle in propulsion mode equipped with BLDC in-wheel motors, taking tire dynamics into account 12

Dynamic modelling of the longitudinal movement of an electri...

引用

12th ifac symposium on control of Power and Energy systems (CPES)

作者： Ammari, Ossama El Majdoub, Khalid Giri, Fouad Baz, Rachida Univ Hassan 2 Casablanca Morocco Normandie Univ UNICAEN F-14000 Caen France

This paper presents a complete model for the longitudinal motion of an electric vehicle (EV), incorporating the dynamics of the vehicle chassis, the aerodynamic effects and the road resistance. The propulsion system uses brushless direct current (BLDC) motors as in-wheel motors to drive the rear drive wheels. The developed model aims to improve the understanding of the performance of the electric vehicle fitted with BLDC in-wheel motors under real driving conditions, taking into account aerodynamic forces and road resistance. Copyright (c) 2024 The Authors.

关键词： BLDC in-wheel motor electric vehicle longitudinal motion tire Pacejka's model

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A Zonotopic FDI Approach with LPV-based EKF in Autonomous Vehicles 12

A Zonotopic FDI Approach with LPV-based EKF in Autonomous Ve...

引用

12th ifac symposium on Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS)

作者： Conejo, Carlos Puig, Vicenc Morcego, Bernardo Navas, Francisco Milanes, Vicente Automat Control Grp CS2AC UPC Terrassa Spain Renault Grp Valladolid Spain

This paper presents a fault detection and isolation approach for state estimation in autonomous vehicles, enhancing safety through the assurance of accurate measurement acquisition. Using a zonotopic method to guarantee robustness against unknown-but-bounded measurement noises, this study introduces a novel formulation of the Extended Kalman Filters, using the Linear Parameter-Varying modelling technique. Its performance is assessed alongside other state estimation methods. Experiments on a Renault Zoe (SAE level 3) enable a safety validation for the FDI process, finding the critical sensors for the state estimation algorithm. Copyright (c) 2024 The Authors.

关键词： FDI for non-linear systems State estimation Autonomous vehicles Linear parameter-varying systems

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A unified modelling of dead-zone, dead-band, hysteresis, and other faulty local behaviors of actuators and sensors 12

A unified modelling of dead-zone, dead-band, hysteresis, and...

引用

12th ifac symposium on Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS)

作者： Bainier, Gustave Marx, Benoit Ponsart, Jean-Christophe Univ Lorraine CNRS CRAN F-54000 Nancy France

Dead-zone, dead-band or hysteresis are well-known local faulty behaviors which are typically observed on the actuators and sensors of physical systems. After being identified, these local nonlinearities are usually taken into account when designing observers or controllers. This paper breaks the trend of case by case analysis of these nonlinearities, and suggest a new unifying representation which encapsulates a large class of nonlinear faults. Although more conservative than already existing specific approaches, the proposed framework necessitates very few knowledge on the nonlinearties, and may offer a practical duality between the actuator and the sensor cases. Ultimate bound guarantees are given both in the case of nonlinear and linear systems. The latter case is illustrated numerically by an example. Copyright (C) 2024 The Authors. This is an open access article under the CC BY-NC-ND license (https://***/licenses/by-nc-nd/4.0/)

关键词： Actuator fault Sensor fault Dead-zone Hysteresis Ultimate bound

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Data-Driven Adaptive Fault-Tolerant control for Floating Offshore Wind Turbines 12

Data-Driven Adaptive Fault-Tolerant Control for Floating Off...

引用

12th ifac symposium on Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS)

作者： Lam, Yat Ping Simani, Silvio Shibaura Inst Technol Toyosu Campus Koto City Tokyo 135850 Japan Univ Ferrara Dept Engn Ferrara Italy

Floating offshore wind turbines have increased in popularity owing to their adaptability for deep-water applications and high power generation efficiency. The control of floating offshore wind turbines, on the other hand, is very complex. The main challenges are the difficulty in precisely modelling floating offshore wind turbines and the higher failure rate of components. As a consequence, this study proposes a model-free adaptive fault-tolerant control system for blade root moment sensor failures. A model-free adaptive control approach is used to construct an individual pitch controller and a fault compensation to avoid mathematical modelling of floating offshore wind turbines. The proposed fault-tolerant control technique removes the need for fault detection and isolation by converting the fault dynamic compensation process into a real-time control issue for nonlinear systems. The fatigue, aerodynamics, structures, and turbulence code simulates and tests the proposed control strategy, and the results show that the proposed strategy can not only keep the wheel bearing load balanced but also reduce the movement of the floating platform and significantly reduce the bearing load of the floating offshore wind turbines. Furthermore, the output power is closer to Copyright (c) 2024 The Authors. This is an open access article under the CC BY-NC-ND license (https://***/licenses/by-nc-nd/4.0/)

关键词： Floating offshore wind turbines individual pitch control fault-tolerant control model-free adaptive control blade root moment sensor fault

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Stochastic Model Predictive control for Robust Grid Frequency Regulation 12

Stochastic Model Predictive Control for Robust Grid Frequenc...

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12th ifac symposium on control of Power and Energy systems (CPES)

作者： Och, Alexander Ulbig, Andreas Rhein Westfal TH Aachen IAEW Aachen Germany

This paper delves into the application of Stochastic Model Predictive controls (SMPC) for power grids driven by inverter-interfaced generators, focusing on enhancing grid stability amidst decreasing inertia. By employing SMPC, uncertainties in energy systems are anticipated and plant-model mismatch is mitigated. Improvement in grid robustness concerning frequency limits is demonstrated via a Monte Carlo approach. The integration of data-driven model augmentation and stochastic constraint tightening significantly enhance the precision and robustness of frequency control. This study highlights the potential of SMPC in navigating uncertainties in energy systems and offering a robust framework for maintaining grid stability. Copyright (c) 2024 The Authors.

关键词： Stochastic Model Predictive control Model Predictive control Frequency Regulation Virtual Inertia Droop control Data-Driven modelling Monte Carlo Approach

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Resilience Metrics in Power & control systems: Comparative Analysis 12

Resilience Metrics in Power & Control Systems: Comparative A...

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12th ifac symposium on Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS)

作者： Ghanbari, Mohammad Jiang, Jin Western Univ London ON Canada

Amid the increasing frequency of extreme events, traditional approaches in control and power systems are proving ineffective. There's an essential need for a new perspective to manage the emerging risk landscape and to prioritize the recovery process. Resilience, the ability to cover events across a spectrum from common to catastrophic, extending from pre-event to post-event periods, offers a potential solution. Despite significant research, a universal standard for resilience metrics is lacking. This paper delves into this issue, studying the main existing metrics to pinpoint gaps and suggest future directions for standardized control and power systems resilience assessment. Copyright (C) 2024 The Authors. This is an open access article under the CC BY-NC-ND license (https://***/licenses/by-nc-nd/4.0/)

关键词： Power system resilience Resilience metrics Extreme events Reliability

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An Open-Source Power System Simulation Toolchain for Teaching, Research, and Industrial Use 12

An Open-Source Power System Simulation Toolchain for Teachin...

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12th ifac symposium on control of Power and Energy systems (CPES)

作者： Bartolini, Andrea Casella, Francesco Ceraolo, Massimo Chiaramello, Marco Guironnet, Adrien El Feghali, Joy Dynam Srl Cremona Italy Politecn Milan Dipartimento Elettron Informaz & Bioingn I-20133 Milan Italy Univ Pisa Dept Energy Syst Terr & Construct Engn I-56122 Pisa Italy Reseau Transport Elect F-92073 Paris France

This paper describes a fully open-source toolchain for the modelling and simulation of phasor-based, balanced 3-phase AC system models, based on the OpenModelica compiler, the PowerGrids 2.0.0 Modelica library, and the open-source solvers IDA, Kinsol, and KLU. The toolchain includes a graphical user interface for model editing and result visualization. A notable feature is the automatic generation and solution of the initial static power flow, which provides good initial guess values for the steady-state initialization of the dynamic model, ensuring robust initialization;this feature can be disabled, and the results of external power flow tools can be used instead. The toolchain currently handles models with up to about 100 buses, making it attractive for teaching and research use, but is planned to be able to handle models with thousands of buses in the near future. This will be achieved thanks to new code generation features currently under development in OpenModelica and will open the way to industrial use. Copyright (C) 2024 The Authors. This is an open access article under the CC BY-NC-ND license (https://***/licenses/by-nc-nd/4.0/)

关键词： modelling and simulation of power systems Power system stability Smart grids control system design

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