Non-dimensionalised closed-form parametric analysis of semi-active vehicle suspensions using a quarter-car model

Ahmadian, Mehdi; Blanchard, Emmanuel

doi:10.1080/00423114.2010.482671

Cited by 14 publications

(7 citation statements)

References 3 publications

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“…Karnopp 28 proposed skyhook control, which installed a damper proportional to the vibration speed of the vehicle body. It should be noted that based on the SMC algorithm of the reference skyhook model (RSM), a superior performance index of the ASS can be obtained by selecting a reasonable skyhook damping coefficient 29 .…”

Section: Problem Formulationmentioning

confidence: 99%

An adaptive neural network sliding mode controller for nonlinear active suspension with uncertain parameters and non-ideal actuators

Shang

Zhang²,

Long

2023

Preprint

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Active suspension systems (ASSs) are contributed to improving ride comfort and maneuverability. However, practical ASSs commonly suffer from nonlinear characteristics, uncertain parameters and non-ideal actuators, which always significantly deteriorate the control performance in practice. To overcome these issues, this paper proposes an adaptive neural network sliding mode control (ANNSMC) strategy for an ASS to achieve suspension performance improvements. Firstly, the skyhook system as a reference model which doesn’t require real-time measurement of road input is adopted to provide reference trajectories for the sprung mass displacement and velocity. In addition, an adaptive radial basis function neural network is designed and presented to deal with the effects of uncertain nonlinear functions in the dynamic system. Furthermore, the stability of the closed-loop system is proved by the Lyapunov stability theory. Finally, the effectiveness of the proposed controller is verified by numerical simulation and experimental platform, and the advantages of the proposed ANNSMC controller in suppressing suspension vibration are illustrated by comparing the performance of passive suspension (PS), sliding mode control (SMC) and linear quadratic regulator (LQR) controlled active suspension under different road excitations. The simulation and experimental results further demonstrate that the proposed controller can effectively suppress sprung mass vibrations and offers superior control performance despite the existence of nonlinear dynamics, uncertain parameters and non-ideal actuators.

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Section: Problem Formulationmentioning

confidence: 99%

An adaptive neural network sliding mode controller for nonlinear active suspension with uncertain parameters and non-ideal actuators

Shang

Zhang²,

Long

2023

Preprint

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“…There are lots of research work on the applications of MRF and MRE using the skyhook controller. These studies have been undertaken from both computer simulation [3,4,6,7,8,10,11,15,17] and experimental implementation [1,2,5,9,12,13,14,16].…”

Section: Other Applicationsmentioning

confidence: 99%

State of the art of control schemes for smart systems featuring magneto-rheological materials

Choi¹,

Li²,

Yu³

et al. 2016

Smart Mater. Struct.

138

105

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“…Therefore, the downstream section is extended from sections st 4 to st 8 . Hence, each circuit consists of three FCFC segments…”

Section: Connectivity Matrices For Fluid Circuitmentioning

confidence: 99%

Modelling and characteristic analysis of tri-axle trucks with hydraulically interconnected suspensions

Ding

Han

Luo

et al. 2012

Vehicle System Dynamics

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In this paper, a new hydraulically interconnected suspension (HIS) system is proposed for the implementation of a resistance control for the pitch and bounce modes of tri-axle heavy trucks. A lumped-mass half-truck model is established using the free-body diagram method. The equations of motion of a mechanical and hydraulic coupled system are developed by incorporating the hydraulic strut forces into the mechanical subsystem as externally applied forces. The transfer matrix method (TMM) is used to evaluate the impedance matrix of the hydraulic subsystem consisting of models of fluid pipes, damper valves, accumulators, and three-way junctions. The TMM is further applied to find the quantitative relationships between the hydraulic strut forces and boundary flow of the mechanicalfluid interactive subsystem. The modal analysis method is employed to perform the vibration analysis between the trucks with the conventional suspension and the proposed HIS. Comparison analysis focuses on free vibration with identified eigenvalues and eigenvectors, isolation vibration capacity, and force vibration in terms of the power spectrum density responses. The obtained results show the effectiveness of the proposed HIS system in reducing the pitch motion of sprung mass and simultaneously maintaining the ride comfort. The pitch stiffness is increased while the bounce stiffness is slightly softened. The peak values of sprung mass and wheel hop motions are greatly reduced, and the vibration decay rate of sprung mass is also significantly increased.

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Non-dimensionalised closed-form parametric analysis of semi-active vehicle suspensions using a quarter-car model

Cited by 14 publications

References 3 publications

An adaptive neural network sliding mode controller for nonlinear active suspension with uncertain parameters and non-ideal actuators

An adaptive neural network sliding mode controller for nonlinear active suspension with uncertain parameters and non-ideal actuators

State of the art of control schemes for smart systems featuring magneto-rheological materials

Modelling and characteristic analysis of tri-axle trucks with hydraulically interconnected suspensions

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