Active control of electro-rheological fluid embedded pneumatic vibration isolator

Shih, Ming‐Chang; Wang, Teng-Yen

doi:10.3233/ica-2008-15306

Cited by 6 publications

(5 citation statements)

References 15 publications

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“…The passive control mode can be realized by closing valves A1, A2, B1 and B2 to separate the gas chamber from the outside air and setting the MR active damping to zero. This mode is beneficial for vibration isolation at high frequency and invariant working condition [20]. The semi-active control mode can be realized by properly regulating either the pressure of working gas chamber (with on-off valves A1, A2, B1 and B2), the controllable current of the MR damping or the accumulator volume.…”

Section: The Mrepi With Independently Adjustable Stiffness and Dampingmentioning

confidence: 99%

“…Similarly to equation (20), the non-dimensional dynamics of the MrEPI in hybrid connection with three sub-isolators characterized by equations ( 21) and ( 22) is consequently given by…”

Section: Non-dimensional Dynamics Of the Mrepi Systemmentioning

confidence: 99%

“…Usually, a pneumatic isolator with one air chamber cannot provide sufficient damping, which results in excessive vibration around the system's resonance frequency, poor performance at low frequencies, and strongly nonlinear spring dynamics with coupled damping characteristics. To alleviate the problem, some improved structures of pneumatic isolators with passive/active hydraulic and pneumatic damping devices have been developed [15][16][17][18][19][20][21][22][23]. Although the performance of pneumatic vibration isolation systems can be improved by active damping or optimal design of passive stiffness and damping, the damping introduced by pneumatic orifice valves usually has complex dynamics coupled with the dynamics of the pneumatic chamber and consequently requires complex controller design.…”

Section: Introductionmentioning

confidence: 99%

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A magnetorheological fluid embedded pneumatic vibration isolator allowing independently adjustable stiffness and damping

Zhu¹,

Jing²,

Li³

2011

Smart Mater. Struct.

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A magnetorheological (MR) fluid embedded pneumatic vibration isolator (MrEPI) with hybrid and compact connection of pneumatic spring and MR damping elements is proposed in this study. The proposed MrEPI system allows independent nonlinear stiffness and damping control with considerable maneuverable ranges. Meanwhile, it allows convenient switching between different passive and active vibration control modes, thus providing more flexibility and versatility in applications. To demonstrate the advantageous dynamic performance of the MrEPI, a nonlinear non-dimensional dynamic model is developed with full consideration of the nonlinear elements involved. A systematic analysis is therefore conducted which can clearly reveal the influence on system output performance caused by each physically important parameter and provide a useful insight into the analysis and design of nonlinear vibration isolators with pneumatic and MR elements.

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Section: The Mrepi With Independently Adjustable Stiffness and Dampingmentioning

confidence: 99%

“…Similarly to equation (20), the non-dimensional dynamics of the MrEPI in hybrid connection with three sub-isolators characterized by equations ( 21) and ( 22) is consequently given by…”

Section: Non-dimensional Dynamics Of the Mrepi Systemmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A magnetorheological fluid embedded pneumatic vibration isolator allowing independently adjustable stiffness and damping

Zhu¹,

Jing²,

Li³

2011

Smart Mater. Struct.

View full text Add to dashboard Cite

show abstract

“…Generally, there are two methods to adjust an isolator's properties to obtain an optimal isolation performance. The first method is to change its damping value through electro-rheological (Tandon et al, 1999;Truong and Semercigil, 2001;Shih and Wang, 2008) or magnetorheological (Arzanpour and Golnaraghi, 2008;Zhou et al, 2008;Prabakar et al, 2009) dampers. The other method is to adjust its stiffness value on-line (Zhou and Liu, 2010).…”

Section: Introductionmentioning

confidence: 99%

Fuzzy control of a semi-active multiple degree-of-freedom vibration isolation system

Song

Zhou

Xie

et al. 2013

Journal of Vibration and Control

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Semi-active isolation systems fill the gap between passive and active systems, delivering the versatility and adaptability of fully active systems, by expending a small amount of energy to change system parameters such as stiffness and damping. Magnetic suspension vibration isolation provides an excellent active isolation technology, and has shown useful characteristics including noncontact isolation, fast response, high reliability and long lifespan. However, because it is highly nonlinear and time variant, the control of magnetic suspension vibration isolation is an area that still requires further exploration. This paper presents a fuzzy control algorithm for a semi-active multi-degree-of-freedom vibration system. The fuzzy control is based on the minimization of the weighted sum of squared output forces. The output force response of the fuzzy, PID control semi-active vibration isolation system and passive system under the same excitation are simulated. The simulation results show that the fuzzy control system has much better performance in vibration isolation. An experimental platform is developed to test the performance of the magnetic suspension vibration isolation system and the proposed fuzzy control algorithm. The experimental results are found to be in good agreement with simulation.

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“…On the other hand, the active one, with parameters that can be changed according to excitation and response characteristics of the system can provide a significantly enhanced vibration isolation performance (Ahn et al, 1996). Actuators, as one of the most important research hotspots in active fields (Yun and Li., 2011), are widely researched until recently, including electro-rheological (Tandon et al, 1999;Truong and Semercigil, 2001;Shih and Wang, 2008), magneto-rheological (Arzanpour and Golnaraghi, 2008;Zhou et al, 2008;Prabakar et al, 2009) and also magnetic actuators (Daley et al, 2004(Daley et al, , 2006Hoque et al, 2006a,b;Song et al, 2009aSong et al, ,b, 2010.…”

Section: Introductionmentioning

confidence: 99%

Dynamic modeling of magnetic suspension isolator using artificial neural network: a modified genetic approach

Song

Xie

et al. 2012

Journal of Vibration and Control

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Active vibration isolation technology has been widely used to reduce vibration transmission in many different engineering systems. Magnetic suspension isolator (MSI), as an active isolation actuator, has shown advantages including non‐contact, high response frequency, high reliability and long life‐span. However, its potential has not been fully explored due to the nonlinear and hysteretic behavior in a dynamic environment, and there is limited research work in the area. This paper proposes a new artificial neural network (ANN)‐based approach to model the dynamics of MSI. A modified genetic algorithm (MGA) is developed to train the ANN to improve the model accuracy. Results clearly show that the ANN model with the MGA approach outperforms the back propagation (BP) approach and the analytic method based on the least squares fitting method.

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Active control of electro-rheological fluid embedded pneumatic vibration isolator

Cited by 6 publications

References 15 publications

A magnetorheological fluid embedded pneumatic vibration isolator allowing independently adjustable stiffness and damping

A magnetorheological fluid embedded pneumatic vibration isolator allowing independently adjustable stiffness and damping

Fuzzy control of a semi-active multiple degree-of-freedom vibration isolation system

Dynamic modeling of magnetic suspension isolator using artificial neural network: a modified genetic approach

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