Adaptive Semi-Active Suspension of Quarter-Vehicle With Magnetorheological Damper

Majdoub, Khalid El; Ghani, Dwiqhee Abdul; Giri, F.; Chaoui, F.Z.

doi:10.1115/1.4028314

Cited by 42 publications

(41 citation statements)

References 8 publications

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“…In the computer simulations, the MR seat suspension system is excited by three different road profiles as shown in Figure 3: random bump, regular bump, and random step wave bump. These signals are collected from the practical conditions of the roads and the equation as shown in [32]. The parameters of the seat suspension and MR damper are listed in Tables 1 and 2.…”

Section: Simulation Results and Discussionmentioning

confidence: 99%

“…Then, the control gains are changed to the input voltage to be applied to MR damper. The damping force of the MR damper can be determined as [32] …”

Section: Seat Suspension Modelmentioning

confidence: 99%

“…Parameters written in Equation (42), which are shown in [32], include the hysteretic model. Hence, this equation can be applied to any MR actuators and there is no need to survey hysteresis model of the damper.…”

Section: Seat Suspension Modelmentioning

confidence: 99%

“…The road profiles shown in Figure 5a,c are collected from the real roads. The road profile shown in Figure 5b is generated from the Equation (40) given in [32]. These road profiles are used to investigate the vibrations transferred from wheels of the vehicles installed with MR dampers.…”

Section: Remarkmentioning

confidence: 99%

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A Novel Adaptive PID Controller with Application to Vibration Control of a Semi-Active Vehicle Seat Suspension

Phu

Choi

2017

Applied Sciences

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This work proposes a novel adaptive hybrid controller based on the sliding mode controller and H-infinity control technique, and its effectiveness is verified by implementing it in vibration control of a vehicle seat suspension featuring a magneto-rheological damper. As a first step, a sliding surface of the sliding mode controller is established and used as a bridge to formulate the proposed controller. In this process, two matrices such as Hurwitz constants matrix are used as components of the sliding surface and H-infinity technique are adopted to achieve robust stability. Secondly, a fuzzy logic model based on the interval type 2 fuzzy model which is featured by online clustering is established and integrated to take account for external disturbances. Subsequently, a new adaptive hybrid controller is formulated with a solid proof of the robust stability. Then, the effectiveness is demonstrated by implementing the proposed hybrid controller on the vibration control of a vehicle seat suspension associated with a controllable damper. Vibration control performances are evaluated on bump and random road profiles by presenting both displacement and acceleration on the seat and the driver positions. In addition, a comparative study between the proposed and one of existing controllers is undertaken to highlight some benefits of the hybrid adaptive controller developed in this work.

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Section: Simulation Results and Discussionmentioning

confidence: 99%

“…Then, the control gains are changed to the input voltage to be applied to MR damper. The damping force of the MR damper can be determined as [32] …”

Section: Seat Suspension Modelmentioning

confidence: 99%

Section: Seat Suspension Modelmentioning

confidence: 99%

Section: Remarkmentioning

confidence: 99%

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A Novel Adaptive PID Controller with Application to Vibration Control of a Semi-Active Vehicle Seat Suspension

Phu

Choi

2017

Applied Sciences

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“…Furthermore, by defining

e = x_{5} - {\overset{true^}{x}}_{5}

and synthesizing (3) and (5), the dynamics of the whole system are described as:

({, \begin{array}{l} left & \overset{e}{true} = L {\overset{true¯}{A}}_{12} e + w_{2} + L \overset{B}{true} w + L w_{1} \\ left & \overset{X}{true} = {\overset{true¯}{A}}_{12} e + {\overset{true¯}{A}}_{11} X + {\overset{true¯}{A}}_{12} {\overset{true^}{x}}_{5} + \overset{B}{true} w + w_{1} \\ left & {\overset{true˙}{\overset{x}{true}}}_{5} = - L {\overset{true¯}{A}}_{12} e + \overset{ϕ}{true} ((),,,, x_{2}, x_{4}, {\overset{x}{true}}_{5}, i) - L \overset{B}{true} w - L w_{1} \end{array})

w_{2} = ϕ - \overset{ϕ}{true}

is regarded as a disturbance belonging to extended L 2 space due to the boundedness of x 5 . Thereby, there exists the following result.Proposition An adaptive controller, which renders the system (8) to be Lyapunov stable, states e , X to converge to the origin, and ensure L 2 attenuation for the interior and external disturbances, are designed as follows:

i = \frac{1}{d} ([], prefix- 2 X^{T} P {\overset{true¯}{A}}_{12} - 8 ρ_{1}^{2} a_{5}^{2} ε - ψ ((),, X, {\overset{x}{true}}_{5}) \overset{θ}{true})

\overset{\overset{true^}{θ}}{true} = Γ^{prefix- 1} ψ^{T} ((),, X, \overset{x}{true})

…”

Section: Observer‐based Adaptive L2 Disturbance Attenuation Controlmentioning

confidence: 99%

Observer‐Based Adaptive L₂ Disturbance Attenuation Control of Semi‐Active Suspension with MR Damper

Cheng

Jiao

2016

Asian Journal of Control

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A novel nonlinear observer‐based adaptive disturbance attenuation control strategy was proposed for a quarter semi‐active suspension system with a magneto‐rheological (MR) damper in light of the intrinsic nonlinearity, parameter uncertainty, state immeasurability and road randomness. Adaptive adjusting parameters were adopted to avoid the curve fitting and identification of the system parameters by a great deal of experimental data for shortening the development cycle of the control system. Based on the reduced‐order observer, the system states including the immeasurable virtual state of MR damper and inconveniently measured states of suspension system were estimated for the realistic frame of the proposed controller in practice. The dissipative system theory was utilized to reduce the influence of the road disturbance on the system control performance. Simulation results in the bump road and B‐class road indicate that, whether there are perturbations of the system parameters or not, the proposed control scheme always ensures a better performance on the suspension travel, ride comfort and handling stability in comparison with other existing methods.

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Adaptive Variable Stiffness Vibration Absorber Using Magnetorheological Material

Nguyen

Tung

2021

Proceedings of the 2nd Annual International Conference on Material, Machines and Methods for Sustainable Development (MMMS2020)

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Adaptive Semi-Active Suspension of Quarter-Vehicle With Magnetorheological Damper

Cited by 42 publications

References 8 publications

A Novel Adaptive PID Controller with Application to Vibration Control of a Semi-Active Vehicle Seat Suspension

A Novel Adaptive PID Controller with Application to Vibration Control of a Semi-Active Vehicle Seat Suspension

Observer‐Based Adaptive L₂ Disturbance Attenuation Control of Semi‐Active Suspension with MR Damper

Adaptive Variable Stiffness Vibration Absorber Using Magnetorheological Material

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Adaptive Semi-Active Suspension of Quarter-Vehicle With Magnetorheological Damper

Cited by 42 publications

References 8 publications

A Novel Adaptive PID Controller with Application to Vibration Control of a Semi-Active Vehicle Seat Suspension

A Novel Adaptive PID Controller with Application to Vibration Control of a Semi-Active Vehicle Seat Suspension

Observer‐Based Adaptive L2 Disturbance Attenuation Control of Semi‐Active Suspension with MR Damper

Adaptive Variable Stiffness Vibration Absorber Using Magnetorheological Material

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Product

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Observer‐Based Adaptive L₂ Disturbance Attenuation Control of Semi‐Active Suspension with MR Damper