Vibration and Shock Isolation Performance of a Semi-Active “On-Off” Damper

Rakheja, Subhash; Sankar, S.

doi:10.1115/1.3269279

Cited by 92 publications

(49 citation statements)

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“…(14). Classical variational method is based on such basic assumption: the value range of the controlled variable ( ) are not subject to any restrictions, namely, the control domain is full of the whole control space, or is an open set.…”

Section: The Derivation Of Optimal Damping Based On Generalized Variamentioning

confidence: 99%

Double-layer vibration suppression bilinear system featuring electro-rheological damper with optimal damping and semi-active control

Gao¹,

Fan²,

Chen³

et al. 2016

J. vibroeng.

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Abstract. Based on the analysis of a double-layer vibration suppression bilinear system, the limitation of the classic passive vibration suppression technology was solved in case of relatively complex input force mixed signals. Using the maximum value principle and the constrained gradient method, the optimal damping semi-active control (ODSAC) curve of this system model was obtained. Due to the strong nonlinear characteristics of the controlling curve and even a non-derivable problem being existed, a pulse function was introduced, and a theoretic deduction was performed. The defects, that a curve with non-derivable points could not be solved, were overcome so that the proposed method was applicable to a bilinear system model. The stability of the controller was discussed in detail. Finally, the effects of the vibration suppression of the ODSAC method were compared with that of the passive damping system and that of the semi-active skyhook damping system under the excitation of the mix signal of single-frequency sine and pulse input signal, the mix signal of random and sine signal, the mix signal of random and impact input signal. The experiments of electro-rheological fluid (ERF) damper with single damping duct and simulation results show that the ODSAC strategy of a double-layer vibration suppression bilinear system is the best of the five kinds of vibration suppression effect of control strategies, and the vibration reduction effect with respect to the random and shock input mixed signal is remarkable, the vibration suppression effect of the new method is satisfactory.

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Section: The Derivation Of Optimal Damping Based On Generalized Variamentioning

confidence: 99%

Double-layer vibration suppression bilinear system featuring electro-rheological damper with optimal damping and semi-active control

Gao¹,

Fan²,

Chen³

et al. 2016

J. vibroeng.

View full text Add to dashboard Cite

show abstract

“…As an intelligent guess, a threshold of −80% is selected for the ratio of dynamic to static tire force. Mathematically (11) It should be noted here that only negative value of F tire is responsible for leaving contact with the ground. However, since tire has very low damping, a high positive value of F tire would soon be followed by a high negative value.…”

Section: Calculation Of Weighting Parameter αmentioning

confidence: 99%

“…(5) Similarly, the acceleration of the sprung mass would approach to zero (thereby providing better comfort) for a damping force of (6) which basically becomes the R-S controller [11] after satisfying the passivity constraint.…”

Section: Adaptive Semi-active Suspension Controlmentioning

confidence: 99%

A New Adaptive Controller for Performance Improvement of Automotive Suspension Systems with MR Dampers

Khajepour

Agrawal

2014

SAE Int. J. Passeng. Cars - Mech. Syst.

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A control algorithm is developed for active/semi-active suspensions which can provide more comfort and better handling simultaneously. A weighting parameter is tuned online which is derived from two components -slow and fast adaptation to assign weights to comfort and handling. After establishing through simulations that the proposed adaptive control algorithm can demonstrate a performance better than some controllers in prior-art, it is implemented on an actual vehicle (Cadillac STS) which is equipped with MR dampers and several sensors. The vehicle is tested on smooth and rough roads and over speed bumps.

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“…Nevertheless, active control presents an important limitation as it requires an external power source. Since the 70's, the advantages of using semi-active devices have been addressed in several studies (Karnopp et al 1974), (Rakheja et al 1985(Rakheja et al , 1986. Years of studies have shown that these methods continue improving since they have set better techniques (Alanoly et al 1987), (Wu et al 1997).…”

Section: Introductionmentioning

confidence: 99%

Vibration reduction for vision systems on board unmanned aerial vehicles using a neuro-fuzzy controller

Marichal

Tomás-Rodrı́guez

Hernández

et al. 2013

Journal of Vibration and Control

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This is the accepted version of the paper.This version of the publication may differ from the final published version. In this paper, an intelligent control approach based on Neuro-Fuzzy systems performance is presented with the objective of counteracting the vibrations that affect the low-cost vision platform onboard an unmanned aerial system of rotating nature. Permanent repository linkA scaled dynamical model of a helicopter is used to simulate vibrations on its fuselage. The impact of these vibrations on the low-cost vision system will be assessed and an intelligent control approach will be derived in order to reduce its detrimental influence.Different trials that consider a Neuro-Fuzzy approach as a fundamental part of an intelligent semi-active control strategy have been carried out. Satisfactory results have been achieved compared to those obtained by means of vibration reduction passive techniques.

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Vibration and Shock Isolation Performance of a Semi-Active “On-Off” Damper

Cited by 92 publications

References 0 publications

Double-layer vibration suppression bilinear system featuring electro-rheological damper with optimal damping and semi-active control

Double-layer vibration suppression bilinear system featuring electro-rheological damper with optimal damping and semi-active control

A New Adaptive Controller for Performance Improvement of Automotive Suspension Systems with MR Dampers

Vibration reduction for vision systems on board unmanned aerial vehicles using a neuro-fuzzy controller

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