Comparative research on semi-active control strategies for magneto-rheological suspension

Dong, Xiaomin; Yu, Minggao; Liao, Changrong; Chen, Weimin

doi:10.1007/s11071-009-9550-8

Cited by 117 publications

(87 citation statements)

References 24 publications

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“…The methodology proposed in this paper was applied to generate a rule-based controller to control the suspension system in question. The results can be confronted with those obtained in the works referenced in Pinheiro et al, 2007 andDong et al, 2010. The dynamic responses obtained were similar to the works mentioned.…”

Section: Resultssupporting

confidence: 80%

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Rough Controller Synthesis

Pinheiro¹,

Camatta²,

Rezek³

2012

Fuzzy Logic - Controls, Concepts, Theories and Applications

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Section: Resultssupporting

confidence: 80%

“…off rel abs Some papers Dong, et al, 2010) the acceleration of the sprung mass of the process for a sudden dislocation of 0.05 meters in the tire of the system. The results obtained indicate a better response (smaller acceleration) of the system using a rule-based controller in relation to the classical strategy.…”

Section: Examplementioning

confidence: 99%

Rough Controller Synthesis

Pinheiro¹,

Camatta²,

Rezek³

2012

Fuzzy Logic - Controls, Concepts, Theories and Applications

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“…One of the advantages of LQG control is that the external excitation will drop out of the state feedback control design [50,51]. The external force is assumed to be a zero-mean white noise process with Gaussian distribution and constant covariance [52].…”

Section: Control Algorithmmentioning

confidence: 99%

Study on Adaptive-Passive and Semi-Active Eddy Current Tuned Mass Damper with Variable Damping

et al. 2018

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Tuned mass damper (TMD) is a widely used vibration control device, consisting of a mass, some springs and damping elements. Viscous damper is mostly used as a damping element; however, it has many unsustainable problems, e.g., poor durability, sensitive to the change of temperature, difficult to adjust the damping, oil leakage etc. In this paper, a new sustainable adaptive-passive eddy current tuned mass damper (ECTMD) with variable damping, which is very easy to be further upgraded to a semi-active one, is proposed. Four important parameters, e.g., adsorption position of permanent magnets, thickness of the conductive plate, thickness of the extra steel plate and the air gap between permanent magnets and the conductive plate are investigated by a parametric study. Two new evaluation indexes are put forward to indicate the damping mechanism of the proposed device. The relationship between effective damping coefficient and air gap is fitted through a quadratic function. Then, the corresponding design method of the proposed adaptive-passive ECTMD is presented. At last, the previous adaptive-passive ECTMD is upgraded to a semi-active one, which can adjust its eddy current damping through adjusting its air gap in real-time, based on the linear-quadratic-Gaussian algorithm. The effectiveness of semi-active ECTMD is evaluated through harmonic excitations and human-induced excitations. The results show that the semi-active ECTMD with variable damping has a better vibration control effect than the optimized passive one.

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“…In these systems, damping force generated by the MRDs can be controlled by the intensity of magnetic field [1,2,3,4,5,6,7]. It has been known that in order to enhance performance in the real field, several issues should be carefully considered, including the solutions for fast response, easy controllability, robustness against uncertainty and disturbance (UAD) and accurate identification of the hysteretic dynamic behavior of MRDs [1,8].…”

Section: Introductionmentioning

confidence: 99%

Designing Optimal Fuzzy Controller for MRD-Based Train-Car Suspension Systems

Nguyen¹

2018

JCC

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Abstract. Random time-varying chassis mass, which consists of passenger and cargo mass as well as the normalized wind force, causes reducing the effectiveness of smart vehicle suspensions. In order to deal with this, we develop a novel fuzzy-based dynamic inversion controller (FDIC) for the control of a train-car suspension system using a magneto-rheological damper (MRD) or MRDs. The FDIC is constituted of three main parts: i) an inverse MRD model (ANFIS-I-MRD) via a measured data set and an adaptive neuro-fuzzy inference system (ANFIS), ii) a fuzzy-based sliding mode controller (FSMC) and iii) a disturbance and uncertainty observer (DUO). The FSMC is designed via the two following steps. The first one is to establish and optimize parameters of a sliding mode controller (SMC). The next is to design a fuzzy logic system to expand the ability of the SMC to face with the larger ranges of the load variation. The DUO is used to compensate for disturbance and uncertainty. By using the ANFIS-I-MRD and the control force estimated by the FDIC, current for the MRD at each time for stamping out chassis vibration is specified. The stability of the FDIC is analyzed via Lyapunov stability theory. Surveys have shown that the FDIC could provide the improved control competence to reduce unwanted vibrations in an enlarged range of the varying chassis load.

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Comparative research on semi-active control strategies for magneto-rheological suspension

Cited by 117 publications

References 24 publications

Rough Controller Synthesis

Rough Controller Synthesis

Study on Adaptive-Passive and Semi-Active Eddy Current Tuned Mass Damper with Variable Damping

Designing Optimal Fuzzy Controller for MRD-Based Train-Car Suspension Systems

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