Model identification methodology for fluid-based inerters

Abstract Inerter is the mechanical dual of the capacitor via the force-current analogy. It has the property that the force across the terminals is proportional to their relative acceleration. Compared with flywheel-based inerters, fluid-based forms have advantages of improved durability, inherent damping and simplicity of design. In order to improve the understanding of the physical behaviour of this fluid-based device, especially caused by the hydraulic resistance and inertial effects in the external tube, this work proposes a comprehensive model identification methodology. Firstly, a modelling procedure is established, which allows the topological arrangement of the mechanical networks to be obtained by mapping the damping, inertance and stiffness effects directly to their respective hydraulic counterparts. Secondly, an experimental sequence is followed, which separates the identification of friction, stiffness and various damping effects. Furthermore, an experimental set-up is introduced, where two pressure gauges are used to accurately measure the pressure drop across the external tube. The theoretical models with improved confidence are obtained using the proposed methodology for a helical-tube fluid inerter prototype. The sources of remaining discrepancies are further analysed.

[1]  Neil E. Houghton,et al.  Experimental testing and analysis of inerter devices , 2009 .

[2]  H. E. Merritt,et al.  Hydraulic Control Systems , 1991 .

[3]  Malcolm C. Smith,et al.  Regular Positive-Real Functions and Five-Element Network Synthesis for Electrical and Mechanical Networks , 2011, IEEE Transactions on Automatic Control.

[4]  Simon A Neild,et al.  Inerter-Based Configurations for Main-Landing-Gear Shimmy Suppression , 2017 .

[5]  Rajendra Singh,et al.  Linear analysis of automotive hydro-mechanical mount with emphasis on decoupler characteristics , 1992 .

[6]  Fu-Cheng Wang,et al.  Impact of inerter nonlinearities on vehicle suspension control , 2008 .

[7]  J.Z. Jiang,et al.  Experimental testing and modelling of a mechanical steering compensator , 2008, 2008 3rd International Symposium on Communications, Control and Signal Processing.

[8]  J. C. SchÖnfeld Analogy of hydraulic, mechanical, acoustic and electric systems , 1954 .

[9]  David J. Wagg,et al.  Using an inerter‐based device for structural vibration suppression , 2014 .

[10]  P. Brzeski,et al.  Experimental study of the novel tuned mass damper with inerter which enables changes of inertance , 2017 .

[11]  Kohju Ikago,et al.  Seismic control of single‐degree‐of‐freedom structure using tuned viscous mass damper , 2012 .

[12]  Fu-Cheng Wang,et al.  The performance improvements of train suspension systems with mechanical networks employing inerters , 2009 .

[13]  K. Worden,et al.  Past, present and future of nonlinear system identification in structural dynamics , 2006 .

[14]  David J. Wagg,et al.  Vibration suppression of cables using tuned inerter dampers , 2016 .

[15]  Ferdinand Trenc,et al.  Pressure drop of laminar oil-flow in curved rectangular channels , 2002 .

[16]  Roger M. Goodall,et al.  Passive suspensions incorporating inerters for railway vehicles , 2012 .

[17]  Malcolm C. Smith Synthesis of mechanical networks: the inerter , 2002, IEEE Trans. Autom. Control..

[18]  Daniel J. Inman,et al.  Assessing the effect of nonlinearities on the performance of a tuned inerter damper , 2017 .

[19]  Fu-Cheng Wang,et al.  Performance Benefits in Passive Vehicle Suspensions Employing Inerters , 2004 .

[20]  P. Gács,et al.  Algorithms , 1992 .

[21]  M. Iida,et al.  Past , 1971, PS: Political Science & Politics.

[22]  Simon A Neild,et al.  Optimal configurations for a linear vibration suppression device in a multi‐storey building , 2017 .

[23]  Branislav Titurus Complete semi-analytical damper model identification using triangular displacement inputs , 2014 .

[24]  Artin Afacan,et al.  An experimental study of pressure drop in helical pipes , 1994, Proceedings of the Royal Society of London. Series A: Mathematical and Physical Sciences.

[25]  Long Chen,et al.  Modeling and Optimization of Vehicle Suspension Employing a Nonlinear Fluid Inerter , 2016 .

[26]  Branislav Titurus,et al.  A method for the identification of hydraulic damper characteristics from steady velocity inputs , 2010 .

[27]  Malcolm C. Smith,et al.  Design and modelling of a fluid inerter , 2013, Int. J. Control.

[28]  Fu-Cheng Wang,et al.  Inerter Nonlinearities and the Impact on Suspension Control , 2008, 2008 American Control Conference.

[29]  P. Brzeski,et al.  Effects of play and inerter nonlinearities on the performance of tuned mass damper , 2017 .

[30]  Simos A. Evangelou,et al.  Mechanical Steering Compensators for High-Performance Motorcycles , 2007 .

[31]  K. Stewartson Mechanics of fluids , 1978, Nature.

[32]  Shaukat Ali,et al.  Pressure drop correlations for flow through regular helical coil tubes , 2001 .

[33]  F. A. Firestone A NEW ANALOGY BETWEEN MECHANICAL AND ELECTRICAL SYSTEMS , 1932 .

[34]  Branislav Titurus,et al.  Modeling and analysis of active dampers in periodic working environments , 2009 .

[35]  Fu-Cheng Wang,et al.  Stability and performance analysis of a full-train system with inerters , 2012 .

[36]  Roger M. Goodall,et al.  Passive suspensions for ride quality improvement of two-axle railway vehicles , 2015 .

[37]  Gene F. Franklin,et al.  Feedback Control of Dynamic Systems , 1986 .

[38]  F-C Wang,et al.  Designing and testing a hydraulic inerter , 2011 .

[39]  Yun Tan,et al.  Algorithms, Routines, and S Functions, for Robust Statistics , 1995 .

[40]  Frank Scheibe,et al.  Analytical solutions for optimal ride comfort and tyre grip for passive vehicle suspensions , 2009 .

[41]  Hobart M. Hudson,et al.  Pipe Flow: A Practical and Comprehensive Guide , 2012 .

[42]  P. Brzeski,et al.  Design and identification of parameters of tuned mass damper with inerter which enables changes of inertance , 2018 .

[43]  David M. Ford,et al.  An Analysis and Application of a Decoupled Engine Mount System for Idle Isolation , 1985 .

[44]  Alfio Marazzi,et al.  Algorithms, Routines, and s Functions for Robust Statistics: The Fortran Library Robeth With an Interface to S-Plus , 1993 .

[45]  Agathoklis Giaralis,et al.  Wind-Induced Vibration Mitigation in Tall Buildings Using the Tuned Mass-Damper-Inerter , 2017 .

[46]  E. A. Guillemin A Summary of Modern Methods of Network Synthesis , 1951 .

[47]  Lennart Ljung,et al.  System Identification: Theory for the User , 1987 .