13 research outputs found

    Multivariate Arma Identification And Model Comparison Of A Wing Tank Assemblage

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    The work presents experimental results of analysis of an aircraft wing and fuel tank assemblage, using a multivariate ARMA identification technique. A numerical model of the same is obtained and comparison between the model and test results are presented and discussed.11171120Kurka, P.R.G., Araújo, C.A., Automatic process for the determination of modal supersets of residual flexibilities used in the modal synthesis method (1999) RBCM - Journal of the Braz. Soc. Mechanical Sciences, 20, pp. 656-665Araújo, C.A., (1998) Dynamic Systems Modeling through Modal Component Synthesis, , PhD Thesis (in Portuguese), Faculdade de Engenharia Mecânica, Universidade Estadual de Campinas. 158 pages, MarchJuang, J.N., Papa, R.S., An eigensystem realization algorith for modal paraemnter identification and model reduction (1985) J. Guidance Control Dyn., 8, pp. 620-627Pi, Y.L., Michelborough, N.C., Identification of parameters for vibrating structure with non proportional damping (1987) Proc. 1st National Structure Conference, pp. 225-263. , Melbourne, AustraliaBazán, F.S.V., (1993) Development of Time Domain Parametric System Identification Tools, , PhD Thesis (in Portuguese), Universidade Estadual de Campinas, 150 pagesGomes, A.E., (1996) Multi-channel Parametric Identification of Mechanical Systems in the Time Domain, , MsC dissertation (in Portuguese), Faculdade de Engenharia Mecânica, Universidade Estadual de Campinas, Brazil. 114 pagesMathias, M.H., (1998) Application of the ARMA Parametric Technique to Signal Processing in the Characterisation of Mechanical Structures, , PhD thesis (in portuguese), Faculdade de Engenharia Mecânica, Universidade Estadual de Campinas,. 117 pagesJuang, J.N., Unification of several system realization algorithms (1997) J. of Guidance Control and Dynamics, 20 (1), pp. 67-73Juang, J.N., System realisation using information matrix (1997) J. of Guidance Control and Dynamics, 20 (3), pp. 492-500Allemang, R.J., Brown, D.L., A modified matrix polynomial approach to modal identification (1998) J. of Sound and Vibration, 211 (3), pp. 301-32

    A Prony-moment Method For Parameter Identification In Over-determined Systems

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    A Prony-moments method is presented for the recognition of true parameters of a dynamic system. The use of over-determination in the Prony scheme is an effective technique for the treatment of noise-contaminated data, in order to obtain a suboptimal approximation of the system's unit impulse response function. Parameters obtained through the Prony scheme are employed in Gibilaro and Lees's method of moments in order to identify the system's true resonant parameters. Identification examples are presented for a 3 dof mechanical system. © 1994 Academic Press. All rights reserved.8214515

    Architecture For Multi-camera Vision System For Automated Measurement Of Automotive Components

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    This paper proposes the architecture of a multi-view cameras system with the purpose of online dimensional measuring of automotive components, specifically crankshafts. The introduction of a measuring vision system in a production line allows the dimensional quality control of all manufactured items, helping to optimize the process. The system consists of six digital cameras, positioned around the object, capturing different perspective images of the product. Processing of the images yields results of precise dimensional measurements of the product. The paper presents the ideas and algorithms used in the proposed measurement system, and virtual images simulation to access its operational and precision characteristics. © 2013 IEEE.520527Orth, A., (1998) Development and Implementation of A System of Recognition Auto Parts, , Congress of the Brazilian Computer SocietySalvi, J., Armangué, X., Battle, J., Comparative review of camera calibrating methods with accuracy evaluation (2002) Pattern Recognition, pp. 1617-1635Kurka, P.R., Rudek, M., (2005) 3-D Image Signal Processing for Automates Operations Using Range, , XI DYNAMELowe, D.G., (2004) Distinctive Image Features from Scale-Invariant Keypoints, , Vancouver, B.C., Canadá: University of British ColumbiaVedaldi, A., (2002) An Implementation of SIFT Detector and Descriptor, , Los Angeles: University of California at Los AngelesTrucco, E., Verri, A., (1998) Introductory Techniques for 3-D Computer Vision, , Prentice HallZhang, Z., A flexible new technique for camera calibration (2000) IEEE Transactions on Pattern Analysis and Machine Intelligence, pp. 1330-1334Bouguet, J.Y., (1999) Visual Methods for Three-dimensional Modeling, , Pasadena,California.,USA: California Institute of Technologyhttp://www.blender.org, BLENDER 3D. Available in. Access in: 23 jan. 2013http://www.ni.com, LABVIEW. Available in. Access in: 22 jan. 201

    Practical Application Of A Selection Criteria For Constructing The Superset Of Residual Flexibility Modes Used In Modal Synthesis Method

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    The work presents the practical application of a criteria for selection of the normal modes of substructures with the purpose of building the superset of a residual flexibility model. The superset is used in the modal synthesis method for the experimental analysis of large structures. Qualitative indication of modes to be selected in a substructure plays an important role in the precision of the synthesis process. Actual mode selection techniques are based on arbitrary user decisions which could lead to the modification of vectors which would have an important contribution to the synthesis of the complete structure. The technique relies on a relative weighting of the modes of the substructures, based on Euclidian norm calculations. The application shown is the assembling of a mock up of an airoplane wing+fuel tank from an experimentally updated model of each individual substructure.12071213Araújo, C.A., (1998) Modelagem de Sistemas Dinâmicos Através da Síntese Modal de Componentes, , Doctoral Thesis, UNICAMP, CampinasArruda, J.R.F., Santos, J.M.C., Experimental estimation of mechanical joint parameters using frequency response functions and modal parameters (1993) 11 Th. Int. Conf. on Modal Analysis IMAC, pp. 1502-1507Craig Jr., R.R., Methods of component mode synthesis (1977) Shock and Vib. Dig., 9 (11), pp. 3-10Craig Jr., R.R., Chang, C.J., On the use of attachment modes in substructure coupling for dynamic analysis (1977) AIAA/ASME 18th Struct., B, pp. 89-99Craig Jr., R.R., A review of time-domain and frequency-domain component mode synthesis methods (1987) J. of Modal Analysis, pp. 59-72Duarte, M.A.V., (1994) Ajuste de Modelos de Dinâmicos de Estruturas com Não Linearidades Concentradas, , Doctoral Thesis, UNICAMP - CampinasEwins, D.J., (1994) Modal Testing: Theory and Practice, , John Wiley & Sons, New YorkHintz, R.M., Analytical methods in component modal synthesis (1975) AIAA J., 13 (8), pp. 1007-1016Hurty, W.C., Dynamic analysis of structural systems using component modes (1965) AIAA J., 3 (4), pp. 678-685Hurty, W.C., Collins, J.D., Hart, G.C., Dynamic analysis of large structures by modal synthesis techniques (1971) J. Computers & Struct., 1 (4), pp. 535-563Kreyszig, E., (1993) Advanced Engineering Mathematics, , John Wiley & Sons, Inc., 7a. edKurka, P.R.G., Bazán, F.S.V., Regularization techniques in the time domain modal parameter identification (1992) 17th International Seminar on Modal Analysis Catholic University of Leuven, Belgium, pp. 221-225Macneal, R.H., A hibrid method of component mode synthesis (1971) Computers & Struct., 1 (4), pp. 581-601Rubin, S., Improved component mode representation for structural dynamic analysis (1975) AIAA J., 13 (8), pp. 995-1006Santos, J.M.C., (1993) Ajuste de Modelos de Estruturas Acopladas por Juntas Mecânicas Usando Funções de Resposta em Frequência e Sintese Modal de Componentes, , Doctoral Thesis,Unicamp - Campina

    Application Of A Multivariable Input-output Subspace Identification Technique In Structural Analysis

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    This paper presents a multivariable subspace-based identification method applied to experimental modal analysis. The method shows its efficience in the identification of data, which is contaminated by an amount of external noise. Numerical simulation is used to present the main characteristics of the method and compare its performance against other current techniques in experimental modal analysis. The modal test of a practical engineering structure is also made using the subspace identification method.24252435Maia, N.M.M., Montalvão, J.M., He, J., Lieven, N.A.J., Lin, R.M., Skingle, G.W., To, W.M., Urtigueira, A.P.V., (1997) Theoretical and Experimental Modal Analysis, , Research Studies, Jonh Wiley & SonsViberg, M., Subspace-based methods for the identification of linear time-invariant systems (1995) Automatica, 31 (12), pp. 1835-1851Kailath, T., (1980) Linear System, , Englewood Cliffs NJ, Prentice HallJuang, J.N., System realization using information matrix (1997) Journal of Guidance, Control and Dynamics, 20 (3), pp. 492-500Cambraia, H.N., (2003) Multivariable Subspace-oriented Techniques Applied in Parameters Modal Identification, p. 160. , Faculadade de Engenharia Mecânica, Universidade Estadual de Campina

    Automatic Process For The Determination Of Modal Supersets Of Residual Flexibilities Used In The Modal Synthesis Method

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    The work presents an automatic process for the selection of modes of substructures with the purpose of buiding the superset of a residual flexibility model. This superset in used in the modal synthesis method for the experimental analysis of large structures. The qualitative indication of modes to be eliminated in a substructure plays an important role in the precision of the synthesis process. Actual mode elimination techniques are based on arbitrary user decisions which could lead to the extinction of modes which would have an important contribution to the synthesis of the complete structure. The technique is applied here for systems without damping. Such a technique relies on a relative weighting of the modes of the substructures, based on Euclidian norm calculations.204656665Arruda, J.R.F., Santos, J.M.C., Experimental Estimation of Mechanical Joint Parameters Using Frequency Response Functions and Modal Parameters (1993) 11 th. Int. Conf. on Modal Analysis IMAC, pp. 1502-1507Craig R.R., Jr., Methods of Component Mode Synthesis (1977) Shock and Vib. Dig., 9 (11), pp. 3-10Craig R.R., Jr., Chang, C.J., On the Use of Attachment Modes in SubstructureCoupling for Dynamic Analysis (1977) AIAA/ASME 18th Struct., B, pp. 89-99Craig R.R., Jr., A Review of Time-Domain and Frequency-Domain Component Mode Synthesis Methods (1987) J. of Modal Analysis, pp. 59-72Duarte, M.A.V., (1994) Ajuste de Modelos de Dinâmicos de Estruturas Com Não Linearidades Concentradas, , Doctoral thesis, Unicamp - CampinasEwins, D.J., (1994) Modal Testing: Theory and Practice, , John Wiley & Sons, New YorkHintz, R.M., Analytical Methods in Component Modal Synthesis (1975) AIAA J., 13 (8), pp. 1007-1016Hurty, W.C., Dynamic Analysis of Structural Systems Using Component Modes (1965) AIAA J., 3 (4), pp. 678-685Hurty, W.C., Collins, J.D., Hart, G.C., Dynamic Analysis of Large Structures by Modal Synthesis Techniques (1971) J. Computers & Struct., 1 (4), pp. 535-563Kreyszis, E., (1993) Advanced Engineering Mathematics, , John Wiley & Sons, Inc., 7a. edKurka, P.R.G., Bazán, F.S.V., Regularization Techniques in the Time Domain Modal Parameter Identification (1992) 17th International Seminar on Modal Analysis, pp. 221-225. , Catholic University of Leuven, BelgiumMatrix Eigensystem Routines - EISPACK Guide (1976) Lecture Notes in Computer Science, 6. , Springer-Verlag, 2nd EditionMacneal, R.H., A Hibrid Method of Component Mode Synthesis (1971) Computers and Struct., 1 (4), pp. 581-601Rubin, S., Improved Component-Mode Representation for Structural Dynamic Analysis (1975) AIAA J., 13 (8), pp. 995-1006Santos, J.M.C., (1993) Ajuste de Modelos de Estruturas Acopladas por Juntas Mecânicas Usando Funções de Resposta em Frequência e Síntese Modal de Componentes, , Doctoral thesis, Unicamp - Campina

    Modal Parameter Identification In The Time Domain From A Random Excitation Force

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    A time domain algorithm for calculating frequencies, damping ratios and modal shape information of a discrete dynamic system is presented. Input and output samples of the system's dynamic excitation and response signals are used to determine the parameters. The algorithm is based on Prony's solution to the complex exponential interpolation of the system's unit impulse response function. The problem of determining resonant frequencies of a steel beam is presented to illustrate a practical application of the algorithm. © 1990.45393404Dunn, Modal analysis of transient response data using a complex exponential algorithm (1977) NEL Report No. 641Kurka, Cowley, Modal parameter identification from the time response of complex dynamic systems (1988) Mechanical Systems and Signal Processing, 2, pp. 49-58Prony, Essai expérimental et analytique sur les lois de la dilatabilité des fluides élastiques et sur celles de la force expansive de la vapeur de l'eau et der la vapeur de l'alkool, a différentes températures (1795) Journal de l'Ecole Polytechnique, Paris 1, (2), pp. 24-76Spitznogle, Quazi, Representation and analysis of time limited signals using a complex exponential algorithm (1970) The Journal of the Acoustical Society of America, 47, pp. 1150-1155Braun, (1986) Mechanical Signature Analysis, , Academic Press, LondonKay, Marple, Jr., Spectrum analysis—a modern perspective (1981) Proceedings of the IEEE, 69, pp. 1380-1419Lorenz, DFT theory and FFT techniques (1987) Union College Modal Analysis Short Course, , April 1–3 at the Imperial College of Science and TechnologyKurka, Investigation of dynamic identification techniques and their application (1989) PhD Thesis, , University of Manchester Institute of Science and TechnologyVan Brussel, Modal analysis (1981) Modal Analysis Seminar, , Department of Mechanical Engineering, University of Leuve

    Optimal Linear State Feedback Time-varying Regulator For A Unicycle Mobile Robot

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    This paper proposes an optimal time-varying linear state feedback control for wheeled mobile robot of the unicycle type. The control law that stabilizes exponentially the motion of the robot to a given desired trajectory is found, after transformation of the cinematic model of the robot into a well-known Brocket integrator [1] Numerical simulations are presented in order to demonstrate the effectiveness of the proposed control design. Copyright © 2008 by ASME.4423429Petroleum Division, ASMEBrockett, R., Asymptotic stability stabilization (1983) Differential Geometric Control Theory, pp. 181-191. , R. Brockett, R. Millman & H. Sussmann,eds, Boston, BirkhauserKolmanovsky 1. & N.H. McClamroch, Developments in nonholonomic control problems. IEEE Control Systems Magazine 15 (1995) 20-36Dixon, W.E., Jiang, Z.P., Dawson, D.M., Global exponential setpoint control of wheeled mobile robots: A Lyapunov approach (2000) Automatica, 36, pp. 1741-1746Canudas de Wit, C., Sördalen, Exponential Stabilization of mobile robots with nonholonomic constraints (1992) IEEE Transactions on Automatic Control, 37 (11), pp. 1791-1797Walsh, G., Tilbury, D., Sastry, S., Murray, R., Laumond, J.P., Stabilization of trajectories for systems with nonholonomic constraints (1994) IEEE Transactions on Automatic Control, 39 (1), pp. 216-222Rafikov, M., Balthazar, J.M., On control and synchronization in chaotic and hyperchaotic systems via linear feedback. control (2008) Communications in Nonlinear Science and Numerical Simulation, 13, pp. 1246-1255Astolfi, A., Exponential stabilization of wheeled mobile robot via discontinuous control (1999) Journal of Dynamic systems, Measurements and Control, 121, pp. 121-126Kim, B.M., Tsiotras, P., Controllers for unicycle-type wheeled robots: Theoretical results and experimental validation (2002) IEEE Trans. on Robotics and automation, 18 (3), pp. 294-307Oriolo, G., Luca, A., (2002) de, WMR Control via Dynamic Feedback Linearization: Design, implementation, and Experimental Validation, IEEE Transaction on Control System Tecnology, 10 (6)Bryson A.E. and Y. Ho. Applied Optimal Control. Hemisphere Publ. Corp., Washington D.C., 1975Anderson, B.D.O., Moor, J.B., (1990) Optimal Control Linear Quadratic Methods, , Prentice-Hall, NYAlekander, J.C., Maddocks, J.H., On the kinematics of wheeled mobile robots (1989) Int. J. Robot. Res, 8 (5), pp. 15-27Reeds, J.A., Shepp, L.A., Optimal paths for a car that goes both forwards and backwards (1990) Pacific J. Math, 145 (2), pp. 367-393Samson, C., Control of Chained systems: Application to path following and time-varying point-stabilization of mobile robots (1995) IEEE Transactions on Automatic Control, 40 (1), pp. 64-77Godhan, J.M., Egeland, A., Lyapunov approach to exponential stabilization of nonholonomic systems in power form (1997) IEEE Transactions on Automatic Control, 42 (7), pp. 1028-103

    Dynamic Loads Of Reciprocating Compressors With Flexible Bearings

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    The paper analyzes the visco-elastic bearing loads in the dynamic model of a reciprocating refrigeration compressor. The model incorporates the gyroscopic interactions due to the radial movement of the bearings. The Newton-Euler method is used in the analysis, establishing the necessary differential equations that describe the movement of the system, leading also to the calculation of orbital displacements of the bearings. © 2012 Elsevier Ltd. All rights reserved.52130143Stoecker, W.F., (1998) Industrial Refrigeration Handbook, , McGraw-HillTassou, S.A., Grace, I.N., Fault diagnosis and refrigerant leak detection in vapour compression refrigerant systems (2005) International Journal of Refrigeration, 28, pp. 680-688House, J.M., Lee, K.D., Norford, L.K., Controls and diagnostics for air distribution systems (2003) Journal of Solar Energy Engineering, Transactions of the ASME, 125, pp. 310-317Prata, A.T., Fernandes, J.R.S., Fagotti, F., Dynamic analysis of piston secondary motion for small reciprocating compressors (2000) Journal of Tribology, 122, pp. 752-760Cho, J.R., Moon, S.J., A numerical analysis of the interaction between the piston oil film and the component deformation in a reciprocating compressor (2005) Tribology International, 38, pp. 459-468Kim, T.J., Han, J.S., Comparison of the dynamic behavior and lubrication characteristics of a reciprocating compressor crankshaft in both finite and short bearing models (2004) Tribology Transactions, 47, pp. 61-69Goodwin, M.J., Nikolajsen, J.L., Reciprocating machinery bearing analysis: Theory and practice (2003) Proceedings of the Institution of Mechanical Engineers, Part J: Journal of Engineering Tribology, 217, pp. 409-426Levecque, N., Mahfoud, J., Violette, D., Ferraris, G., Dufour, R., Vibration reduction of a single cylinder reciprocating compressor based on multi-stage balancing (2011) Mechanism and Machine Theory, 46 (1), pp. 1-9Sultan, I.A., Kalim, A., Improving reciprocating compressor performance using a hybrid two level optimization approach (2011) Engineering Computations, 28 (5), pp. 616-636Shabana, A.A., (1989) Dynamics Multibody Systems, , John Wiley & Sons IllinoisDufour, R., Der Hagopian, J., Lalanne, M., Transient and steady state dynamic behavior of single cylinder compressors: Prediction and experiments (1995) Journal of Sound and Vibration, 181 (1), pp. 23-41Couto, P.R.C., Análise de Mancais Radiais Hidrodinâmicos Com Aplicação em Compressores Herméticos de Refrigeraç ão, , Ph. D. Thesis, Federal University of Santa Catarina, Florianopolis 2006 [in Portuguese]Wisbeck, H.J., Manke, A.L., Prata, A.T., Bearing System in Dynamic Loading Including Solid Contact and Wear (2002) Paper, 1532. , International Compressor Engineering ConferenceRao, J.S., (1983) Rotor Dynamics, , John Wiley & SonsStachowiak, G.W., Batchelor, A.W., (2001) Engineering Tribology, , 2nd ed. Buttterworth HeinemannOtto, S.R., Denier, J.P., (2005) An Introduction to Programming and Numerical Methods in MATLAB, , Springer - Verlag Londo
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