2016
DOI: 10.1109/tvt.2015.2437455
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Filter-Based Adaptive Vibration Control for Active Vehicle Suspensions With Electrohydraulic Actuators

Abstract: Vehicle suspension systems are important for significantly improving passenger comfort and handling characteristics. A well-designed suspension system can promote the whole performances of automobile chassis. In this paper, an adaptive vibration control strategy is proposed for the nonlinear uncertain suspension systems to stabilize both the vertical and pitch motions of the car, and thus to contribute to the ride comfort. Simultaneously, the ride holding performances are preserved within their allowable limit… Show more

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Cited by 193 publications
(70 citation statements)
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References 20 publications
(17 reference statements)
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“…3. Systems with actuator saturation and hard constraints are important class of dynamic systems and have been considered in the literature (e.g., [37]- [39]). The DC motor considered in this paper has the following description   ẋ (t) = −0.96x(t) + 178.85ũ(t)…”
Section: Simulations Resultsmentioning
confidence: 99%
“…3. Systems with actuator saturation and hard constraints are important class of dynamic systems and have been considered in the literature (e.g., [37]- [39]). The DC motor considered in this paper has the following description   ẋ (t) = −0.96x(t) + 178.85ũ(t)…”
Section: Simulations Resultsmentioning
confidence: 99%
“…So, they are well suited for hardware real-time 3-D image processing, but also may find applications in other areas where 3-D data are employed like in economy modelling, seismic data, weather forecast models, etc. It is also possible to utilise presented results as a digital replacement for analog controllers in control systems [13][14][15]19,20]. Due to the robust orthogonal systems properties, they will be especially applicable when high processing precision is required even for low bit quantization, as in medical imaging.…”
Section: Discussionmentioning
confidence: 99%
“…The constant n 0 is chosen to shift the origin of (19). The parameters for the filter have been taken from [1], i.e., σ = 0.7, n 0 = 2, and h, v, d = −2, −1, 0, 1, 2.…”
Section: Realization Example Of a Gaussian Filtermentioning
confidence: 99%
“…where 1 is a positive constant, e 2 (t, h) denotes the prediction of the tracking error e 2 (t + h) computed at the instant t, and the integral term multiplied by 1 reflects the influence caused by the vanishing perturbation. Hence, the prediction of x 1 used in the virtual control law (7) is attained according to (8) and (11).…”
Section: Nominal Controller Design Using State Prediction Schemementioning
confidence: 99%
“…[1][2][3] Based on a recursive Lyapunov method, the backstepping control approach was proposed to realize stabilization or tracking reference trajectories for strict-feedback systems, 4 which belongs to a step-by-step procedure and has the advantages of systematically constructing Lyapunov functions and avoiding cancelations of useful nonlinearities. [5][6][7][8] Remarkable research results evolved from backstepping algorithm have been made both in continuous-time and discrete-time systems. [9][10][11] However, in practical control systems with the strict-feedback form, we may encounter more complex situations including time delays, nonlinear uncertainties, and unmodeled dynamics, which bring about much difficulty in direct application of standard backstepping algorithm.…”
Section: Introductionmentioning
confidence: 99%