338 research outputs found
Experimental results on a PBC of a doubly-fed induction generator interconnected with an induction motor
International Federation of Automatic Control: World Congress (IFAC), 2005, Praha (Czech Republic)This paper concerns the control of an electromechanical system consisting of a Doubly-Fed Induction Generator (DFIG), driven by a prime mover that can supply or extract mechanical power and an Induction Motor (IM). The stator of the IM is connected to the stator of the generator whose rotor voltage is regulated by a bidirectional converter. A passivity-based controller (PBC) is proposed to regulate the motor mechanical speed and the rotor flux norm. Since this kind of controllers achieve stabilization via energy--balancing, regulation of the power flow in the system can be naturally incorporated. Experimental results are presented to illustrate the main points of our paper. A classical PI controller is also applied to compare the performances of the different approaches.Peer Reviewe
On Impedance Spectroscopy Contribution to Failure Diagnosis in Wind Turbine Generators
International audienceWind turbines proliferation in industrial and residential applications is facing the problem of maintenance and fault diagnosis. Periodic maintenances are necessary to ensure an acceptable life span. The aim of this paper is therefore to assess impedance spectroscopy contribution to the failure diagnosis of doubly-fed induction generator-based wind turbines. Indeed, impedance spectroscopy is already used for the diagnosis of batteries, fuel cells, and electrochemical systems. For evaluation purposes, simulations are carried-out on a 9-MW wind farm consisting of six 1.5-MW wind turbines connected to a 25-kV distribution system that exports power to a 120-kV grid. In this context, two common failures are investigated: phase grounding and phase short-circuits. In addition, generator stator resistance variation is also considered for performance evaluation of impedance spectroscopy
SOBER ASSESSMENT OF ECONOMIC FEASIBILITY OF RENEWABLE ENERGY AND VEHICLE-TO-GRID TECHNOLOGIES IN UKRAINE
Estimate economical rationale of vehicle-to-grid technology (V2G) in
Ukraine in with and without renewable energy systems
A Control Strategy Scheme for Fuel Cell-Vehicle Based on Frequency Separation
International audienceThis paper presents a control strategy scheme based on frequency-separation for Fuel cell-Battery Hybrid Electric Vehicle (HEV), using a Fuel cell (FC) as a main energy source, and a battery as an auxiliary power source. First, an analysis of hybrid architecture using an FC and batteries for automotive applications is presented. Next, the model and the control strategy are described. In this strategy a frequency splitter is used for routing the low frequency content of power demand into the FC and its high frequencies into the battery, taking profit from the battery as a peak power unit. Simulation and experimental results validate the performance of this strategy
Sliding Mode Control of Fuel Cell, Supercapacitors and Batteries Hybrid Sources for Vehicle Applications
From Dynamic Modeling to Experimentation of Induction Motor Powered by Doubly-Fed Induction Generator by Passivity-Based Control
ISBN: 978-953-307-548-8DFIG wind turbines are nowadays more widely used especially in large wind farms. The main reason for their popularity when connected to the electrical network is their ability to supply power at constant voltage and frequency while the rotor speed varies, which makes it suitable for applications with variable speed. We consider in this paper the isolated operation of a DFIG driven by a prime mover, with its stator connected to a load--which is in this case an IM. This paper presents a dynamic model of the DFIG-IM and proves that this system is Blondel-Park transformable. It is also shown that the zero dynamics is unstable for a certain operating regime. We propose and analyse different strategies for the control of the whole system mainly based on Passivity Based Control (PBC). Several of them have been implemented on a 200W DFIG interconnected with an IM prototype available in IRII-UPC (Institute of Robotics and Industrial Informatics - UPC - Barcelona). The main disadvantage of the DFIG is the slip rings, which reduce the life time of the machine and increases the maintenance costs. To overcome this drawback an alternative machine arrangement is proposed which is the Brushless Doubly Fed twin Induction Generator (BDFTIG). The system is anticipated as an advanced solution to the conventional doubly fed induction generator (DFIG). The proposed BDFTIG employs two cascaded induction machines each consisting of two wound rotors, connected in cascade to eliminate the brushes and copper rings in the DFIG. The dynamic model of BDFTIG with two machines' rotors electromechanically coupled in the back-to-back configuration is developed and implemented using Matlab/Simulink
Modélisation, identification et commandes non linéaires d'actionneurs mécatroniques de la boucle d'air d'un moteur diesel
Les actionneurs électromécaniques sont de plus en plus utilisés dans le domaine de la motorisation. Particulièrement, ils sont employés pour contrôler la boucle d air du moteur Diesel. De tels actionneurs ont généralement une structure interne très complexe dont les caractéristiques sont protégées par des conventions de confidentialité. Notre travail dans cette thèse vise, en premier, à élaborer des procédures de modélisation et d identification en prenant en compte une seule source de non linéarité, à savoir les frottements. Deux classes d actionneurs sont ainsi étudiées et quatre procédures d identification sont introduites permettant l estimation des paramètres des systèmes et les coefficients des forces de frottement. Les résultats obtenus sont ensuite utilisés pour développer des simulateurs sous Simulink-MATLAB et AMESim dont la dynamique est expérimentalement validée via LabVIEW. Afin d évaluer la dégradation des performances due au processus de vieillissement, la seconde partie du travail consiste en la réalisation des études de sensibilité quantifiant l impact des variations paramétriques sur la réponse des actionneurs. Les techniques d ANOVA (analyse des variances) et des plans d expériences sont appliquées, en boucle ouverte et en boucle fermée, aux actionneurs étudiés. Les résultats issus des deux techniques sont cohérents permettant ainsi de valider les études réalisées.La dernière partie du travail a pour objectif l élaboration de lois de commande robuste vis-à-vis des perturbations et des incertitudes de modélisation. Ainsi, trois stratégies de contrôle sont utilisées : PI-Flou (PI-Fuzzy controller), l IDA-PBC (Interconnection and Damping Assignment - Passivity Based Control) et le backstepping. Les trois contrôleurs sont testés en présence et en absence d incertitudes. Leur performance est démontrée en simulation en utilisant Simulink-MATLAB, et expérimentalement via LabVIEW.In the motorization field, electromechanical actuators are more and more employed. In particular, they are used to control the diesel engine air path. Such actuators have a very complex structure whose characteristics are generally protected by confidential agreements. This work firstly deals with the modelling and the identification of electromechanical systems, considering only one nonlinear phenomenon, i.e. the friction. Hence, two actuator categories are studied, and four identification procedures are designed allowing estimating both the system parameters and the friction coefficients. Effectiveness of the developed simulators is shown using Simulink-MATLAB, AMESim and LabVIEW. In order to evaluate the ageing impact on the actuator performance, this work secondly introduces two techniques of sensitivity analysis: ANOVA (Analysis Of Variance) and DOE (Design Of Experiments). These techniques are applied, in open and closed loop, to evaluate how the change in parameters may affect the output of such actuator. Both techniques lead to very similar results allowing validating the designed study.Finally, this work aims at the design of nonlinear friction compensation techniques. Therefore, three techniques are used: PI-Fuzzy controller, IDA-PBC (Interconnection and Damping Assignment - Passivity Based Control) and the backstepping. All controllers are tested with and without uncertainties. Their effectiveness is shown in simulation, using Simulink, and experimentally via LabVIEW.BELFORT-UTBM-SEVENANS (900942101) / SudocSudocFranceF
Passivity-Based Control and Sliding Mode Control applied to Electric Vehicles based on Fuel Cells, Supercapacitors and Batteries on the DC Link
Data-Driven Modelling and Simulation of Fuel Cell Hybrid Electric Powertrain
Inspired by the Toyota Mirai, this study presents a high-fidelity data-driven approach for modelling and simulation of a fuel cell hybrid electric powertrain. This study utilises technical assessment data sourced from Argonne National Laboratory’s publicly available report, faithfully modelling most of the vehicle subsystems as data-driven entities. The simulation framework is developed in the MATLAB/Simulink environment and is based on a power dynamics approach, capturing nonlinear interactions and performance intricacies between different powertrain elements. This study investigates subsystem synergies and performance boundaries under a combined driving cycle composed of the NEDC, WLTP Class 3 and US06 profiles, representing urban, extra-urban and aggressive highway conditions. To emulate the real-world load-following strategy, a state transition power management and allocation method is synthesised. The proposed method dynamically governs the power flow between the fuel cell stack and the traction battery across three operational states, allowing the battery to stay within its allocated bounds. This simulation framework offers a near-accurate and computationally efficient digital counterpart to a commercial hybrid powertrain, serving as a valuable tool for educational and research purposes
The Electrical Vehicle and the energy Storage Problem
International audienceA battery Electric Vehicle (BEV) is a widely used type of Electric Vehicle (EV) that uses chemical energy stored in rechargeable battery packs. BEVs are becoming more attractive with the advancement of new battery technology that has good power and energy density, but for the EV application, their power capability is moderately compromised. On the other hand, the capacitors have high power capability and they can hence only be considered for applications which require little energy. There was thus a lack, in means of storage energy for high power applications, between the batteries and capacitors that supercapacitors (SCs) try to minimize. The autonomy of the BEV is a key point in the development and commercialization of this kind of vehicle. Unlike batteries, Fuel Cells (FCs) do not release storage of energy; instead they convert energy from hydrogen-rich fuel directly into electricity: FCs operate as long as they are supplied with fuel. Furthermore, they have a large time constant to respond to an increase or decrease in power output demand. The hybridization of FC with batteries and SCs allows the peak load to be shaved and can compensate for the intrinsic limitations of the main source thanks to their suitable characteristics as a storage device.This presentation focuses on the storage problem and limitation in the EV and addresses some solutions in the energy management for the hybrid electrical vehicle.Real applications using EV or HEV are presented and discussed
- …
