A Stochastic Optimal Semi-Active Control Strategy for Er/MR Dampers

Ying, Z. G.; Zhu, Wei; Soong, T. T.

doi:10.1006/jsvi.2002.5136

Cited by 93 publications

(46 citation statements)

References 21 publications

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“…(9) shows the linearization of nonlinear saturation, c is the controllable yield damping force of the damper. The mathematical expression is: …”

Section: Model and Analysis Of Double-layer Vibration Suppression Bilmentioning

confidence: 99%

“…The application ranges of these vibration reduction systems are very wide such as it is applied to submarine floating raft isolation systems [4], used in vibration reduction systems of vehicle suspensions [5,6], etc. There are three main types of vibration suppression methods that have been proposed in the same way as the classification of the vibration control, that is passive method [7], semi-active method [8][9][10], and active method.…”

Section: Introductionmentioning

confidence: 99%

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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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“…(9) shows the linearization of nonlinear saturation, c is the controllable yield damping force of the damper. The mathematical expression is: …”

Section: Model and Analysis Of Double-layer Vibration Suppression Bilmentioning

confidence: 99%

Section: Introductionmentioning

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

“…A dynamic programming equation to constrain ER/MR damping forces is used to determine the optimal control law effectiveness of the proposed controller. The effectiveness of the controller is illustrated in two examples [6]. El-Kafafy et al studied a quarter vehicle model with two DOFs incorporating an MR damper.…”

Section: Introductionmentioning

confidence: 99%

Semiactive Self-Tuning Fuzzy Logic Control of Full Vehicle Model with MR Damper

Paksoy

Güçlü

Çetin

2014

Advances in Mechanical Engineering

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Intelligent controllers are studied for vibration reduction of a vehicle consisting in a semiactive suspension system with a magnetorheological (MR) damper. The vehicle is modeled with seven degrees of freedom as a full vehicle model. The semiactive suspension system consists of a linear spring and an MR damper. MR damper is modeled using Bouc-Wen hysteresis phenomenon and applied to a full vehicle model. Fuzzy Logic based controllers are designed to determine the MR damper voltage. Fuzzy Logic and Self-Tuning Fuzzy Logic controllers are applied to the semiactive suspension system. Results of the system are investigated by simulation studies in MATLAB-Simulink environment. The performance of the semiactive suspension system is analyzed with and without control. Simulation results showed that both Fuzzy Logic and Self-Tuning Fuzzy Logic controllers perform better compared to uncontrolled case. Furthermore, Self-Tuning Fuzzy Logic controller displayed a greater improvement in vibration reduction performance compared to Fuzzy Logic controller.

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“…However, the linear-quadratic-Gauss (LQG) control method has mostly used for structural vibration control [5]. Recently, some stochastic optimal nonlinear control methods [6,7] have been proposed, in particular, the method based on the stochastic dynamical programming principle and stochastic averaging method [8][9][10][11][12][13][14][15][16][17]. This control method can achieve better control effectiveness and efficiency than the LQG control method.…”

Section: Introductionmentioning

confidence: 99%

Stochastic Optimal Control of Structural Systems

Ying¹

2008

TOAUTOCJ

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Abstract:The stochastic optimal control is an important research subject in structural engineering. Recently, a stochastic optimal nonlinear control method has been proposed based on the stochastic dynamical programming principle and stochastic averaging method. The active and semi-active stochastic optimal control methods have been further developed for structural systems. The control saturation or bound, partial state observation, etc. have been taken into account by the stochastic optimal control. The present paper surveys these research developments.

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A Stochastic Optimal Semi-Active Control Strategy for Er/MR Dampers

Cited by 93 publications

References 21 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

Semiactive Self-Tuning Fuzzy Logic Control of Full Vehicle Model with MR Damper

Stochastic Optimal Control of Structural Systems

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