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Hoang H.,University Claude Bernard Lyon 1 | Couenne F.,University Claude Bernard Lyon 1 | Jallut C.,University Claude Bernard Lyon 1 | Le Gorrec Y.,ENSMM - National Engineering Institute in Mechanics and Microtechnologies
Journal of Process Control | Year: 2011

This paper proposes a thermodynamical pseudo-Hamiltonian formulation of Continuous Stirred Tank Reactor model in which takes place some chemical reaction. This is done both in the isothermal and non isothermal cases. It is shown that the Gibbs free energy and the opposite of entropy can be chosen as Hamiltonian function respectively. For the non isothermal case, the so-called Interconnection and Damping Assignment Passivity Based Control method is applied to stabilize the system at a desired state. For this general reaction scheme, the control problem is shown to be easy to solve as soon as the closed loop Hamiltonian function is chosen to be proportional to the so-called thermodynamic availability function. Simulation results based on a simple first order reaction and operating conditions leading to multiple steady states of the CSTR are given to validate the proposed control design procedure. © 2011 Elsevier Ltd. All rights reserved.


Javed K.,French National Center for Scientific Research | Gouriveau R.,French National Center for Scientific Research | Zerhouni N.,French National Center for Scientific Research | Zerhouni N.,ENSMM - National Engineering Institute in Mechanics and Microtechnologies | Nectoux P.,French National Center for Scientific Research
IEEE Transactions on Industrial Electronics | Year: 2015

The performance of data-driven prognostics approaches is closely dependent on the form and trend of extracted features. Indeed, features that clearly reflect the machine degradation should lead to accurate prognostics, which is the global objective of this paper. This paper contributes a new approach for feature extraction/selection: The extraction is based on trigonometric functions and cumulative transformation, and the selection is performed by evaluating feature fitness using monotonicity and trendability characteristics. The proposition is applied to the time-frequency analysis of nonstationary signals using a discrete wavelet transform. The main idea is to map raw vibration data into monotonic features with early trends, which can be easily predicted. To show that, selected features are used to build a model with a data-driven approach, namely, the summation wavelet-extreme learning machine, that enables good balance between model accuracy and complexity. For validation and generalization purposes, the vibration data from two real applications of prognostics and health management challenges are used: 1) cutting tools from a computer numerical control machine (2010); and 2) bearings from the platform PRONOSTIA (2012). The performance of the proposed approach is thoroughly compared with the classical approach by performing feature fitness analysis, cutting-tool wear 'estimation', and bearings' 'long-term prediction' tasks, which validates the proposition. © 1982-2012 IEEE.


Patent
University of Franche Comte, ENSMM - National Engineering Institute in Mechanics and Microtechnologies | Date: 2013-03-22

A micropositioning device for a piezoelectric actuator includes a means for controlling an electric field applied to the piezoelectric actuator so as to deform the piezoelectric material, and means for simultaneous measurement of a variation of electric charge accumulated on the piezoelectric actuator resulting from the deformation; and means for acquiring measurements of the variation of electric charge, for processing these acquisitions and for estimating a displacement (x, y, z) of the piezoelectric actuator and/or an applied force.


Grant
Agency: Cordis | Branch: FP7 | Program: CP | Phase: ICT-2007.3.6 | Award Amount: 3.78M | Year: 2008

SMARTIEHS develops a smart, high-speed, cost effective and flexible inspection system for production of Micro(Opto)ElectroMechanicalSystems (M(O)EMS). SMARTIEHS decreases the inspection time of a wafer by a factor of 100. It cuts production costs and shorten the time to market.\nTo achieve this, SMARTIEHS develops an innovative measurement concept: a probing wafer consisting of an array of micro optical sensors is adapted to and aligned with the wafer under test. The design and production of the micro-optical interferometer array inspects 100 M(O)EMS structures within only one measurement cycle. A multifunctional approach of the measurement concept allows the inspection of passive and active parameters within one inspection system. A novel smart pixel detector array is developed.\nSMARTIEHS provides a multifunctional design with two interferometer configurations; a low coherent interferometer and a laser interferometer. The project focuses on the measurement of shape and deformation, resonance frequency and vibration amplitude distribution.\nThe SMARTIEHS technology will be validated and demonstrated with industrial end users.\nThe work in SMARTIEHS will be organised in eight work packages: Project management, Inspection system design, Micro-optical interferometer system design, Micro-optical wafer production, Smart pixel camera development, inspection system integration, Inspection system test and validation, Exploitation and dissemination.\nThe SMARTIEHS consortium has RTD partners and industrial users: SINTEF (low-coherence interferometry, micro optics), WUT (laser interferometry, micro optics), Fraunhofer (production of Diffractive Optical Elements), CNRS (production of refractive optics, micro lenses), CSEM (design and production of smart pixel detector arrays), Heliotis (exploitation), IMMS (macro design of the inspection system), and Techfab (end user and validation).\nSMARTIEHS lasts 38 months and has a budget of 3,77M. Requested EC contribution is 2,85 M


Grant
Agency: Cordis | Branch: FP7 | Program: CP | Phase: ICT-2011.2.1 | Award Amount: 3.56M | Year: 2012

Lasers form an increasingly common tool for precision treatment of pathological conditions on delicate and vital human organs. Laser phonomicrosurgery, which is a suite of complex otolaryngological surgical techniques for the treatment of minute abnormalities in the larynx, is one such example. However, laser aiming control for this procedure relies completely on the dexterity of surgeons, who must operate through a microscope and deal with its associated poor ergonomics, and this can have a strong impact on the quality of the procedures. In addition, the laser beam is directed from a comparatively large range (400mm), resulting in accuracy and consistency problems, and requiring extensive surgeon training. In this multidisciplinary project a redesign of this surgical setup is proposed to create an advanced augmented micro-surgical system through research and development of real-time cancer tissue imaging, surgeon-machine interfaces, assistive teleoperation, intelligent (cognitive) safety systems, and augmented-reality. Furthermore, research and development of new endoscopic tools and precision micro-robotic end effectors will allow relocating the laser actuator closer to the surgical site. This will allow unprecedented levels of accessibility and precision, while the surgeon will operate in a more ergonomic, information-rich, and assistive environment. The outcomes of the project will be improved quality, safety, and effectiveness in laser phonomicrosurgery, enabling total tumour removal with minimal damage to healthy tissue. The research efforts herein will generate new knowledge in the design and control of medical micro-mechatronic devices; cancer tissue imaging; assistive teleoperation in medicine; physician-robot interfaces; and cognitive computer vision. These technological advances will pave the way towards new and safer minimally invasive laser microsurgeries, leading to a significantly enhanced capacity for cancer treatment in general.

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