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Simulink est un logiciel de modélisation système multi-physique édité par l'entreprise américaine The MathWorks. Utilisation Simulink est une plate-forme de simulation multi-domaine et de modélisation de systèmes dynamiques. Il fournit un environnement graphique et un ensemble de bibliothèques contenant des blocs de modélisation qui permettent le design précis, la simulation, l’implémentation et le contrôle de systèmes de communications et de traitement du signal. Simulink est intégré à MATLAB, fournissant ainsi un accès immédiat aux nombreux outils de développement algorithmique, de visualisation et d’analyse de données de MATLAB. Design avec simulation L’environnement Simulink peut modéliser un système, simuler son comportement, décomposer le design avant son implémentation. Avec Simulink, il est possible de créer des diagrammes hiérarchiques de blocs pour la modélisation haut niveau d’un système, comme des Blocs Diagrammes de Fiabilité, de construire des simulat

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A New Approach to the On-line Estimation of the Loss of Generation Size in Power Systems

Rasoul Azizipanah-Abarghooee, Mario Paolone

Following an unintended disconnection of a synchronous generator (SG) from the power system, what is also known as a loss of generation (LoG), it is not trivial to precisely estimate the post-event power system's inertia and the LoG size. One of reasons for that is that both of them are a function of the unknown inertia reduction. To solve this challenging problem, this paper presents an analytical method based on the rate-of-change-of-frequency (RoCoF). The method relies on a modified swing equation, allowing a simultaneous estimation of both unknowns. To this end, the values of mechanical starting time, apparent power and loading of lost generator are formulated for the power system under study. In a practical application, the method can use RoCoF measured by phasor measurement units (PMUs). The paper discusses the impact of various frequency estimation approaches to the proposed LoG estimation. Furthermore, a new method for LoG size estimation, based on the interpolated estimated inertial response, is proposed. The efficiency of the proposed approach is validated through extensive simulations with Matlab/Simulink using a simple power system and the IEEE 39-bus test network.

2018

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From the electrical shunting of a loudspeaker to active impedance control

Hervé Lissek, Florian Sandoz

Variable acoustic properties can be obtained on an electroacoustic transducer’s voicing face by very basic control strategies, among which are the shunting of the loudspeaker (shortcut, variable electric load, or negative resistance disposals). It is proven that enhanced controllability and better performances can be obtained by way of hybrid feedback control, consisting in a double feedback loop, one on acoustic pressure at the diaphragm and the other on its velocity, leading to a global acoustic impedance control. The present work will describe the theory of the hybrid feedback control, by way of block diagrams aiming at visualizing the control principle, starting from the shunted loudspeaker. Simulations of performances obtained on Matlab/Simulink will then be presented, and compared to experimental results obtained on analog prototypes mounted at the end of a dedicated impedance tube. A discussion on stability will then follow, leading to concluding remarks on the disposal behavior and possible means of enhancements.

2008

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In-Flight Collision Avoidance Controller Based Only on OS4 Embedded Sensors

Samir Bouabdallah, Vincent de Perrot, Roland Siegwart

The major goal of this research was the development and implementation of a control system able to avoid collisions during the flight for a mini-quadrotor helicopter, based only on its embedded sensors without changing the environment. However, it is important to highlight that the design aspects must be seriously considered in order to overcome hardware limitations and achieve control simplification. The controllers of a UAV (Unmanned Aerial Vehicle) robot deal with highly unstable dynamics and strong axes coupling. Furthermore, any additional embedded sensor increases the robot total weight and therefore, decreases its operating time. The best balance between embedded electronics and robot operating time is desired. This paper focuses not only on the development and implementation of a collision avoidance controller for a mini-robotic helicopter using only its embedded sensors, but also on the mathematical model that was essential for the controller developing phases. Based on this model we carried out the development of a simulation tool based on MatLab/Simulink that was fundamental for setting the controllers' parameters. This tool allowed us to simulate and improve the OS4 controllers in different modeled environments and test different approaches. After that, the controllers were embedded in the real robot and the results proved to be very robust and feasible. In addition to this, the controller has the advantage of being compatible with future path planners that we are developing.

Abcm Brazilian Soc Mechanical Sciences & Engineering2012

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Dataflow programming

In computer programming, dataflow programming is a programming paradigm that models a program as a directed graph of the data flowing between operations, thus implementing dataflow principles and arc

Model-based design

Le Model-Based Design (MBD) est une méthode de gestion de projet informatique qui permet d'améliorer le développement d'un système. Alors qu'un développement classique est basé sur le cycle en V, l'a

MATLAB

MATLAB (« matrix laboratory ») est un langage de script émulé par un environnement de développement du même nom ; il est utilisé à des fins de calcul numérique. Développé par la société The MathWorks,

EE-512: Applied biomedical signal processing

The goal of this course is twofold: (1) to introduce physiological basis, signal acquisition solutions (sensors) and state-of-the-art signal processing techniques, and (2) to propose concrete examples of applications for vital sign monitoring and diagnosis purposes.

ME-213: Programmation pour ingénieur

Mettre en pratique les bases de la programmation vues au semestre précédent. Développer un logiciel structuré. Méthode de debug d'un logiciel. Introduction à la programmation scientifique. Introduction à l'instrumentation virtuelle.

ME-371: Discretization methods in fluids

Ce cours présente une introduction aux méthodes d'approximation utilisées pour la simulation numérique en mécanique des fluides. Les concepts fondamentaux sont présentés dans le cadre de la méthode des différences finies puis étendus à celles des éléments finis et spectraux.