Human-simulation intelligent control of vehicle suspension with magneto-rheological dampers

Dong, Xiaomin; Yu, Minggao; Liao, C.R.; Chen, W.M.

doi:10.2978/jsas.18.103

Cited by 4 publications

(7 citation statements)

References 3 publications

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“…Magnetorheological (MR) fluids, foams, and elastomers comprise a class of smart materials, whose rheological properties may be controlled by the application of magnetic field . The most well‐known examples of MR materials are MR fluids, which the viscosity can be changed under an external magnetic field, and MR fluids' field‐dependent yield stress makes them to be widely used in various smart devices, such as damper , brake , vibration control , and polishing . In MR fluids, iron particles are suspended in a liquid carrier fluid.…”

Section: Introductionmentioning

confidence: 99%

Dynamic mechanical properties of magnetorheological elastomers based on polyurethane matrix

Ju¹,

Tang²,

Zhang³

et al. 2014

Polymer Composites

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Magnetorheological elastomers (MRE) are mainly composed of soft magnetic particles and rubber-like matrix. Previous studies have shown that the matrix has a greater impact on mechanical properties of MRE. In this article, a new kind of polyurethane material was fabricated and used as the matrix of MRE. The effect of several factors on the mechanical properties of MRE samples was experimentally studied, such as fabrication condition, content of iron particles, different weight ratio of castor oil and diphenylmethane diisocyanate, plasticizer. Their microstructures were observed, and the mechanical properties were measured using a testing system in the presence of an external magnetic field. The experimental results demonstrate that these factors have different impact on shear storage modulus, magneto-induced modulus, MR effect and damping property. In addition, the damping property of these MRE is also higher than that of MRE based on the other matrix. This study can hopefully be applied to optimize the mechanical properties of MRE. POLYM. COMPOS., 00:000-000, 2014.

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Section: Introductionmentioning

confidence: 99%

Dynamic mechanical properties of magnetorheological elastomers based on polyurethane matrix

Ju¹,

Tang²,

Zhang³

et al. 2014

Polymer Composites

Self Cite

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“…In (4), there are significant nonlinearity of MR absorber and uncertainties such as the mass of sprung mass and the initial sink velocity, which result in the difficulty of formulating a simple and effective control strategy. In our prior work [9][10][11], we investigated the HSIC in reducing the vibration of MR suspension system through simulation and road test. The results show that the control strategy is effective not only in steady dynamic course but also in transient dynamic course.…”

Section: Formulation Of Controllermentioning

confidence: 99%

“…With many years of development, the theory has been successfully in many perplexing processes and plants (such as delay system, multivariable system, and nonlinear system). The main and important characteristic of the theory consists of characteristic identification and multimode control, which simulate the human's intuition reasoning, namely, from identification to decision and from decision to operation [11,14].…”

Section: Formulation Of Controllermentioning

confidence: 99%

“…As a continuation of the prior work, this study will propose a new control strategy, a human simulated intelligent control (HSIC), for the landing gear system. The control strategy has been successfully applied in the MR semiactive suspension system [10,11]. Many numerical and actual road tests show the effectiveness in reducing the vibration of vehicle suspension and improving the ride comfort.…”

Section: Introductionmentioning

confidence: 99%

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Vibration Attenuation of Magnetorheological Landing Gear System with Human Simulated Intelligent Control

Dong

Xiong

2013

Mathematical Problems in Engineering

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Due to the short duration of impulsive impact of an aircraft during touchdown, a traditional landing gear can only achieve limited performance. In this study, a magnetorheological (MR) absorber is incorporated into a landing gear system; an intelligent control algorithm, a human simulated intelligent control (HSIC), is proposed to adaptively tune the MR absorber. First, a two degreeof-freedom (DOF) dynamic model of a landing gear system featuring an MR absorber is constructed. The control model of an MR damper is also developed. After analyzing the impact characteristic during touchdown, an HSIC is then formulated. A genetic algorithm is adopted to optimize the control parameters of HSIC. Finally, a numerical simulation is performed to validate the proposed damper and the controller considering the varieties of sink velocities and sprung masses. The simulations under different scenarios show that the landing gear system based on the MR absorber can greatly reduce the peak impact load of sprung mass within the stroke. The biggest improvement of the proposed controller is over 40% compared to that of skyhook controller. Furthermore, HSIC exhibits better adaptive ability and strong robustness than skyhook controller under various payloads and sink velocities.

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“…In the prior work [12,13], we have already investigated the transient dynamic response or a vehicle semi-active suspension system featuring MR dampers. As a continuation of the prior work, this study will propose a new control strategy, and a human simulated sliding mode control (HSSMC), for vehicle collision absorbing system.…”

Section: Introductionmentioning

confidence: 99%

Human simulated sliding mode control for vehicle collision absorbing system based on magneto-rheological absorber

Dong

Guan

2011

2011 2nd International Conference on Intelligent Control and Information Processing

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The vehicle collision absorbing system based on magneto-rheological (MR) damper is proposed to cope with the problems of traditional passive vehicle absorbing system. A dynamic model of vehicle collision based on an MR absorber is first constructed. A human simulated sliding mode control (HSSMC) is then formulated according to the characteristics of vehicle collision. Finally, the numerical simulation is performed to validate the MR collision absorber and the proposed control strategy considering the uncertainties of impact initial velocities and vehicle masses. The numerical results show that the vehicle collision absorbing system with HSSMC can achieve significant reduction in the deceleration during the vehicle crash and promote passengers' the safety. Furthermore, the HSSMC exhibits the strong robust.

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Human-simulation intelligent control of vehicle suspension with magneto-rheological dampers

Cited by 4 publications

References 3 publications

Dynamic mechanical properties of magnetorheological elastomers based on polyurethane matrix

Dynamic mechanical properties of magnetorheological elastomers based on polyurethane matrix

Vibration Attenuation of Magnetorheological Landing Gear System with Human Simulated Intelligent Control

Human simulated sliding mode control for vehicle collision absorbing system based on magneto-rheological absorber

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