An adaptive pneumatic system for the attenuation of random vibrations

Adaptive suspensions can modify their filtering capacity to better accommodate excitations with different characteristics. The modification of stiffness (and, to a certain extent, damping) is particularly simple in pneumatic systems. The authors have proposed, modeled, analyzed, validated and tested a pneumatic suspension (composed of an air spring, an auxiliary tank and several connecting pipes) the transfer function of which can be modified simply by routing the air flow through the desired pipe. The method has been successfully tested in the case of unbalanced machinery. Procedures to estimate the input frequency have also been proposed for more general cases, but the question remains as to whether the adaptive scheme could be useful in the case of random excitations composed of a sizable range of frequencies. The focus of the work presented in this paper is to shed some light on this question. To this end, a suspension prototype is subjected to random inputs where the frequency content is tuned to increase the relative ‘weight’ of low frequencies, high frequencies or intermediate frequencies. The responses obtained using three different passive configurations, as well as an adaptive approach that can continuously choose among all three, are simulated, tested and compared. It will be shown that adaptation can minimize the root mean square displacement of the random response even in cases where there is significant overlap in the frequency content of the different types of input.

[1]  Wei-Hsin Liao,et al.  Vibration control of a suspension system via a magnetorheological fluid damper , 2000, Symposium on Applied Photonics.

[2]  Ming-Chang Shih,et al.  Robust control of a novel active pneumatic vibration isolator through floor vibration observer , 2011 .

[3]  Bruce H. Wilson,et al.  An improved model of a pneumatic vibration isolator : Theory and experiment , 1998 .

[4]  David L. Platus,et al.  Negative-stiffness-mechanism vibration isolation systems , 1999, Optics + Photonics.

[5]  Juan Ramón Trapero Arenas,et al.  An adaptive pneumatic suspension based on the estimation of the excitation frequency , 2011 .

[6]  Kefu Liu,et al.  A tunable electromagnetic vibration absorber: Characterization and application , 2006 .

[7]  M. Ahmadian,et al.  Characterization of Semi-active Control System Dynamics with Magneto-rheological Suspensions , 2010 .

[8]  Takeshi MIZUNO VIBRATION ISOLATION SYSTEM USING ZERO-POWER MAGNETIC SUSPENSION , 2000 .

[9]  A. L. Morales,et al.  Unbalanced machinery vibration isolation with a semi-active pneumatic suspension , 2010 .

[10]  C.-M. Lee,et al.  Position control of seat suspension with minimum stiffness , 2006 .

[11]  Robert J. Bernhard,et al.  ADAPTIVE PASSIVE VIBRATION CONTROL , 1996 .

[12]  Zahidul H. Rahman,et al.  Vibration isolation and suppression system for precision payloads in space , 1999 .

[13]  W. G. Price,et al.  An investigation of an active landing gear system to reduce aircraft vibrations caused by landing impacts and runway excitations , 2008 .

[14]  C.-M. Lee,et al.  A multi-stage high-speed railroad vibration isolation system with “negative” stiffness , 2012 .

[15]  Igor Maciejewski,et al.  Control system design of active seat suspensions , 2012 .

[16]  A. L. Morales,et al.  An analytical model of pneumatic suspensions based on an experimental characterization , 2008 .

[17]  Yoshihiro Suda,et al.  Self-powered active vibration control using a single electric actuator , 2003 .

[18]  Cyril M. Harris,et al.  Shock and vibration handbook , 1976 .

[19]  Igor Maciejewski,et al.  Application of the Pareto-optimal approach for selecting dynamic characteristics of seat suspension systems , 2011 .

[20]  Subhash Rakheja,et al.  EVALUATION OF VIBRATION AND SHOCK ATTENUATION PERFORMANCE OF A SUSPENSION SEAT WITH A SEMI-ACTIVE MAGNETORHEOLOGICAL FLUID DAMPER , 2002 .

[21]  Dean Karnopp,et al.  Vibration Control Using Semi-Active Force Generators , 1974 .

[22]  Michael Bailey-Van Kuren,et al.  System design for isolation of a neonatal transport unit using passive and semi-active control strategies , 2005 .

[23]  Ming-Chang Shih,et al.  Modeling and Robust Active Control of a Pneumatic Vibration Isolator , 2007 .