• français
    • English
    français
  • Login
Help
View Item 
  •   Home
  • Laboratoire d’Ingénierie des Systèmes Physiques Et Numériques (LISPEN)
  • View Item
  • Home
  • Laboratoire d’Ingénierie des Systèmes Physiques Et Numériques (LISPEN)
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

On Algebraic Approach for MSD Parametric Estimation

Communication avec acte
Author
OUESLATI, Marouene
THIERY, Stéphane
MORARU, George
ccBEAREE, Richard
178374 Laboratoire des Sciences de l'Information et des Systèmes : Ingénierie Numérique des Systèmes Mécaniques [LSIS- INSM]
ccGIBARU, Olivier
104752 Centre Inria de l'Université de Lille

URI
http://hdl.handle.net/10985/10131
Date
2011

Abstract

This article address the identification problem of the natural frequency and the damping ratio of a second order continuous system where the input is a sinusoidal signal. An algebra based approach for identifying parameters of a Mass Spring Damper (MSD) system is proposed and compared to the Kalman-Bucy filter. The proposed estimator uses the algebraic parametric method in the frequency domain yielding exact formula, when placed in the time domain to identify the unknown parameters. We focus on finding the optimal sinusoidal exciting trajectory which allow to minimize the variance of the identification algorithms. We show that the variance of the estimators issued from the algebraic identification method introduced by Fliess and Sira-Ramirez is less sensitive to the input frequency than the ones obtained by the classical recursive Kalman-Bucy filter. Unlike conventional estimation approach, where the knowledge of the statistical properties of the noise is required, algebraic method is deterministic and non-asymptotic. We show that we don't need to know the variance of the noise so as to perform these algebraic estimators. Moreover, as they are non-asymptotic, we give numerical results where we show that they can be used directly for online estimations without any special setting.

Files in this item

Name:
LSIS-INSM_IMAACA_2011_OUESLATI.pdf
Size:
646.0Kb
Format:
PDF
View/Open

Collections

  • Laboratoire d’Ingénierie des Systèmes Physiques Et Numériques (LISPEN)

Related items

Showing items related by title, author, creator and subject.

  • Improving the Dynamic Accuracy of Elastic Industrial Robot Joint by Algebraic Identification Approach 
    Communication avec acte
    OUESLATI, Marouene; MORARU, George; ccBEAREE, Richard; ccGIBARU, Olivier (2012)
    In this paper, an improvement of the dynamic accuracy of a flexible robot joint is addressed. Based on the observation of the measured axis deformation, a simplified elastic joint model is deduced. In the first step, the ...
  • Improving the Accuracy of Industrial Robots by offline Compensation of Joints Errors 
    Communication avec acte
    DAMAK, Mohamed; LELEU, Stéphane; ccOLABI, Adel; ccBEAREE, Richard; ccGIBARU, Olivier (IEEE, 2013)
    The use of industrial robots in many fields of industry like prototyping, pre-machining and end milling is limited because of their poor accuracy. Robot joints are mainly responsible for this poor accuracy. The flexibility ...
  • Hybrid Calibration of Industrial Robot Considering Payload Variation 
    Article dans une revue avec comité de lecture
    ccSELINGUE, Maxime; ccOLABI, Adel; THIERY, Stéphane; ccBEAREE, Richard (Springer Science and Business Media LLC, 2023-10)
    Absolute accuracy of industrial robot is required for most of industrial applications. However, positioning errors of several millimeters are induced by many factors. Hybrid calibration, combining analytical model and ...
  • A simple and generic CAD/CAM approach for AFM probe-based machining 
    Communication avec acte
    BROUSSEAU, Emmanuel; ARNAL, Benoît; THIERY, Stéphane; ccNYIRI, Eric; ccGIBARU, Olivier (LAMDAMAP, 2015)
    Atomic Force Microscopy (AFM) probe-based machining allows surface structuring at the nano-scale via the mechanical modification of material. This results from the direct contact between the tip of an AFM probe and the ...
  • Towards CNC Automation in AFM Probe-Based Nano Machining 
    Communication avec acte
    BROUSSEAU, Emmanuel; ARNAL, Benoît; THIERY, Stéphane; MAYOR, J.Rhett; ccNYIRI, Eric; ccGIBARU, Olivier (University of Wisconsin-Madison, 2013)
    This paper presents a feasibility study, which aims to demonstrate the applicability of the CNC automation philosophy for the process of AFM probe-based nano machining conducted on commercial AFM instruments. In particular, ...

Browse

All SAMCommunities & CollectionsAuthorsIssue DateCenter / InstitutionThis CollectionAuthorsIssue DateCenter / Institution

Newsletter

Latest newsletterPrevious newsletters

Statistics

Most Popular ItemsStatistics by CountryMost Popular Authors

ÉCOLE NATIONALE SUPERIEURE D'ARTS ET METIERS

  • Contact
  • Mentions légales

ÉCOLE NATIONALE SUPERIEURE D'ARTS ET METIERS

  • Contact
  • Mentions légales