Fault detection and fault tolerant control of vehicle semi-active suspension system with magneto-rheological damper

Du, Xiumei; Han, Gaowei; Yu, Miao; Peng, Youxiang; Xu, X.Z. Shawn; Fu, Jie

doi:10.1088/1361-665x/abbff8

Cited by 21 publications

(18 citation statements)

References 25 publications

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“…Among them, the tunable magneto-mechanical properties bring a wide range of applications of MR devices in the field of intelligent vibration reduction. The dampers based on MR fluids and vibration isolators based on MR elastomers have been studied most extensively (Bai et al, 2013; Du et al, 2020; Fu et al, 2019a, 2020a; Han et al, 2020; Hwang et al, 2020; Jalali et al, 2020; Rustighi et al, 2021; Saleh et al, 2021; Wei et al, 2020; Yoon et al, 2021; Yu et al, 2021; Zhu et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Preparation and magneto-mechanical properties of 3D microporous magnetorheological foam

Yang

Zhang

2022

Journal of Intelligent Material Systems and Structures

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Magnetorheological (MR) materials with excellent magneto-mechanical properties have great application values in the field of vibration reduction and buffering. By combining the advantages of light weight and excellent energy absorption of porous polymer materials, the development of porous MR materials can improve the buffer performance of MR technology. In this paper, we proposed a one-step method for fabricating the 3D microporous MR foam based on polyurethane matrix. Micromorphology of MR foam character by scanning electron microscope shows the existence of a 3D network structure with embedded carbonyl iron particles (CIPs). The unique 3D microporous structure ensures the excellent magneto-mechanical properties of MR foam. The test results analyzed by a rheometer reveal that its compressive modulus and shear storage modulus enhanced significantly with the magnetic field. The influence factors such as CIP content, shear frequency, and shear strain have been systematically studied under the oscillating shear mode. It indicated that the MR foam exhibits obvious viscoelasticity, the dynamic modulus depends on the shear frequency and shear strain, and it has excellent magneto-mechanical properties. This work can provide a new technical solution for fabrication of MR porous materials for MR buffer technology.

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Section: Introductionmentioning

confidence: 99%

Preparation and magneto-mechanical properties of 3D microporous magnetorheological foam

Yang

Zhang

2022

Journal of Intelligent Material Systems and Structures

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“…en, according to the results of fault detection and isolation, the sensor fault value was used to replace the failed sensor signal to achieve fault-tolerant control. In [17], Du et al used an unknown input observer to detect the fault of MR damper; at the same time, the correlation coefficient method based on system residual was used to isolate the fault of MR damper.…”

Section: Introductionmentioning

confidence: 99%

Active Fault‐Tolerant Control Based on the Fault of Electromagnetic Hybrid Active Suspension

Kou

Gao

et al. 2021

Shock and Vibration

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In order to improve the ride comfort and handling stability of the vehicle and realize the recovery of vibration energy, an electromagnetic linear hybrid suspension actuator composed of linear motor and solenoid valve shock absorber is proposed. At the same time, a fault diagnosis and fault-tolerant control strategy is designed to solve the system instability caused by the fault of electromagnetic hybrid active suspension. The 1/4 vehicle two-degree-of freedom suspension model, the linear motor mathematical model, and the solenoid valve shock absorber test model are established. In this paper, the fuzzy sliding mode controller is used as the controller and the unknown input observer is used to estimate the state of the suspension. According to the residual obtained from the unknown input observer and compared with the residual threshold, the suspension fault is determined. In the case of fault, the fuzzy sliding mode controller is used to compensate the force and realize the suspension fault-tolerant control. The performance of the suspension is simulated on random road and bumped road, respectively. The simulation results show that the fault-tolerant control effect of the three performance indexes of the suspension is good, and the ride comfort and safety of the suspension are improved. Finally, the bench test is carried out, and the test results show that in the fault-tolerant control state, the root mean square value of the sprung mass acceleration is reduced by 31.69% compared with the fault state and the dynamic performance of the suspension is improved.

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“…Magnetorheological materials, as a new type of intelligent material, have the characteristics of reversible rheological performance, continuously adjustable stiffness, and damping in the millisecond range, and can be semi-actively controlled by an external magnetic field. MR damper as intelligent core component has been successfully applied in engineering fields including, but not limited to, suspension system (Du et al, 2021; Yang et al, 2021; Yoon et al, 2021), energy absorber (Singh et al, 2014; Wereley et al, 2011; Xi et al, 2021), bridge (Tu et al, 2011; Xu et al, 2021), and gun recoil system (Li et al, 2019). However, the mechanical properties of such devices are affected by uncertain factors such as the excitation frequency, excitation amplitude, and magnetic field, which makes the damp exhibit strong nonlinear behavior.…”

Section: Introductionmentioning

confidence: 99%

A grey hysteresis model of magnetorheological damper

Deng

Dong

et al. 2021

Journal of Intelligent Material Systems and Structures

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Owing to the complex nonlinear hysteresis of magnetorheological (MR) damper, the modeling of an MR damper is an issue. This paper examines a novel MR damper hysteresis model based on the grey theory, which can fully mine the internal laws for the data with small samples and poor information. To validate the model, the experiment is conducted in the MTS platform, and then the experimental results are compiled to identify the model parameters. Considering the complexity of the grey model and its inverse model solution, the grey model is simplified in two ways based on the grey relational analysis method. Furthermore, the simplified grey model compares to other models to prove the superiority of the grey model. The analysis suggests the fitting results correspond to the measured results, and the mean relative error (MRE) of grey model is within 2.04%. After the grey model is simplified, its accuracy is slightly reduced, while its inverse model is easier to solve and makes a unique solution. Finally, compared with the polynomial and Bouc-Wen model, the novel model with fewer identification parameters has high accuracy and predictive ability. This novel model has fabulous potential in designing the control strategy of MR damper.

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Fault detection and fault tolerant control of vehicle semi-active suspension system with magneto-rheological damper

Cited by 21 publications

References 25 publications

Preparation and magneto-mechanical properties of 3D microporous magnetorheological foam

Preparation and magneto-mechanical properties of 3D microporous magnetorheological foam

Active Fault‐Tolerant Control Based on the Fault of Electromagnetic Hybrid Active Suspension

A grey hysteresis model of magnetorheological damper

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