Renaud Briand

Multidisciplinary design process based on virtual prototyping for microsystem design

Microsystem design involves the mixing of two main disciplines: mechanical engineering and electronics. Multidisciplinary design approach is not easy to implement and becomes more difficult when the challenge consists in simultaneously handling new knowledge that characterizes the field of microsystem industry. We present herewith a new multidisciplinary engineering approach used to lead the detailed design of micro-accelerometers based on virtual tools. Virtual prototyping that is usually implemented in one sole domain of competence is developed to be manipulated by either experts from electronics or mechanics. This new tool improves collaboration and the rapid identification of highly satisfying solutions. The virtual tool allows exploration of micromechanical devices and system design issues and objectives. It uses interactions with the designer in order to achieve solutions integrating the physics rules of the design and the experience of the designer.

Component based modeling for structuring measurement Preliminary modeling applied to automotive braking behavior

This paper exposes a methodological approach that intends to lead later to an interactive braking system simulation model. Our Component Based Modeling (CBM) method begins by the product definition and the analysis of significant moments to determine the actions of the driver and the interactions produced between the components of the braking system, the driver and the environment. All our approach is based on the concept of product lifecycle. Development, qualification and updating of the automotive braking system model are going to be done thanks to instrumentation with sensors and micro-sensors. These elements have the advantage of being easily integrable and non intrusive.

System level dimensioning of low power biomedical Body Sensor Networks

Recent advances in miniaturized sensors, low-power electronics and wireless communications have enabled the development of Body Sensor Networks (BSNs). These networks composed of intelligent communicating nodes are mainly dedicated to healthcare monitoring in order to study different pathologies or to detect and correct health problems. The objective of this article is to demonstrate the need of a system level dimensioning in order to design performing biomedical BSNs. Using the simulation tool OSCCAR developed by authors, this paper analyses the impact on the system performance of technology and strategy choice in early stages of BSN design flow, highlighting at the same time the need of a tradeoff between specifications such as Quality of Service and node autonomy.

Decision support method for the design of embedded energy in autonomous microsystems

We propose a decision support method in embodiment design, dedicated to embedded autonomous microsystems design. The main objective of our work is to go beyond battery configurations by supporting the design of autonomous microsystems, namely systems able to harvest and use available energy from their environment. The main challenge of our approach consists of supporting the designers decisions from qualitative representation to physical models. We have thus developed instruments, both based on flows and effect analysis and behavioral component modeling. The method decreases the number of potential alternatives to obtain the best solution and the associated models. To validate our method, we focus on a marketed wired road sensor.

Objets communicants portés : vers une autonomie adaptée

REE N°3/2014 73 L’HOMME CONNECTE Renaud Briand1,2 , Guillaume Terrasson1 , Alvaro Llaria1 , Valerie Dupe1 Enseignants-Chercheurs, ESTIA1 , Directeur R&D, Aquitaine Electronique2 Introduction Les reseaux de capteurs sont constitues de senseurs dissemines dans des environnements souvent vastes et peu accessibles [1]. Par consequent, il est necessaire de prendre un soin tout particulier a la conception de leurs nœuds de facon a garantir une autonomie energetique compatible avec l’application visee. Des recherches sont ainsi menees afin d’ameliorer cette caracteristique cri- tique, par la conception de composants a tres faible consommation [2], le developpement de protocoles de communication specifiques [3] ou alors en considerant des solutions de recuperation d’energie [4], [5]. Dans cet article, nous nous interessons a la proble- matique de conception de microcapteurs autonomes. Nous detaillerons des outils et une methode d’aide a la conception qui permettra a l’ingenieur d’evaluer les choix technologiques et l’architecture, adaptes aux besoins d’une application donnee et dans un objectif d’autonomie maximale. Pour cela, nou

Performance estimation of a FDI function for Flight Critical Systems: Application to a Sensor Acquisition System

The purpose of our work is to demonstrate the main contributions of Fault Detection and Identification (FDI) function implementation into Flight Critical Systems (FCS). Consequently we propose, in this paper, a method to estimate the performance of an implemented FDI function, through its modeling and simulation. This method aims to evaluate the impact of different FDI functions into FCS safety and integrity aspects and then, to choose the most suitable FDI function adapted to a specific FCS.

Autonomy Constraint in Microsensor Design: From Decision Making to Energy Optimization

This paper exposes our method and simulation tools dedicated to embedded autonomous microsystems design and optimization. They aim at guiding designers in the choice of the components, materials, technologies and the micro system architecture. Moreover, based on an system approach, the developed tools are application dependent. They support the design process, from the specifications to the detailed design and enable designers to optimize the selected architecture.

Process for diagnosis method selection of flight critical systems: Application to a Sensor Acquisition System

✦ Save money: Reduce maintenance costs ✦ Reduce V-model iterations number ✦ Make the system more generic and then reduce installation delays and complexity ✦ Increase performances: ✦ Make the system more Fault Tolerant ✦ Prognosis ability through the measurement of wear-out and improve maintenance performances and costs ✦ Parameters and aging compensation ability ✦ Others SAS: ✦ Temperature, pressure, speed, torque ✦ Others FCS: ✦ Engine control, auxiliary power unit, environment control systems

Process for diagnosis method selection of Flight Critical Systems

The purpose of our work presented in this paper is to propose a design process to make easier the implementation of diagnosis functions in order to improve Sensor Acquisition System efficiency into Flight Critical Systems. This process aims to evaluate the different existing diagnosis methods considering application needs and aerospace requirements and constraints. As a result, it enables to guide designers in the determination of the Sensor Acquisition System architecture including diagnosis functions.