Semi-active damping using a hybrid control approach

Gawthrop, P.J.; Neild, Simon A; Wagg, DJ

doi:10.1177/1045389x12436734

Cited by 22 publications

(10 citation statements)

References 54 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The same example is used by Gawthrop et al (2012) to illustrate semi-active control based on switched intermittent control.…”

Section: Quarter Car Modelmentioning

confidence: 99%

“…Because of this passivity constraint, the modulated damper cannot produce any desired force but only those forces which, together with the corresponding power co-variable (relative velocity) satisfy the passivity constraint. Thus, for example, a switching strategy could be used so that the damping coefficient is set to zero when the passivity constraint is violated; this leads to methods such as clipped optimal (Preumont 2002) and hybrid approaches based on intermittent control (Gawthrop et al 2012).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Power-constrained intermittent control

Gawthrop

Wagg

Neild

et al. 2013

International Journal of Control

View full text Add to dashboard Cite

In this paper input power, as opposed to the usual input amplitude, constraints are introduced in the context of intermittent control. They are shown to result in a combination of quadratic optimisation and quadratic constraints. The main motivation for considering input power constraints is its similarity with semi-active control. Such methods are commonly used to provide damping in mechanical systems and structures. It is shown that semi-active control can be re-expressed and generalised as control with power constraints and can thus be implemented as power-constrained intermittent control. The method is illustrated using simulations of resonant mechanical systems and the constrained nature of the power flow is represented using power-phaseplane plots. We believe the approach we present will be useful for control design of both semi-active and low-power vibration suppression systems.

show abstract

“…The same example is used by Gawthrop et al (2012) to illustrate semi-active control based on switched intermittent control.…”

Section: Quarter Car Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Power-constrained intermittent control

Gawthrop

Wagg

Neild

et al. 2013

International Journal of Control

View full text Add to dashboard Cite

show abstract

“…The existing denoising algorithms cannot remove stationary noise and nonstationary noise simultaneously, and these different types of noise should be dealt with separately. At present, the hybrid method has been widely used to solve this problem . To remove stationary noise and nonstationary noise separately, a hybrid method will be developed in this paper.…”

Section: Introductionmentioning

confidence: 99%

“…At present, the hybrid method has been widely used to solve this problem. [6][7][8] To remove stationary noise and nonstationary noise separately, a hybrid method will be developed in this paper. The short-time spectral amplitude (STSA), Wiener filter (WIENER) and minimum mean square error (MMSE) methods have been widely used in denoising and coding.…”

Section: Introductionmentioning

confidence: 99%

Identification of modal parameters from noisy transient response signals

Wang

Friswell

et al. 2017

Struct Control Health Monit

View full text Add to dashboard Cite

Summary In the process of impact testing of large‐scale mechanical equipment, the measured forced response signals are often polluted by strong background noise. The forced response signal has a low signal‐to‐noise ratio, and this makes it difficult to accurately estimate the modal parameters. To solve this problem, the mean averaging of repeatedly measured frequency response function estimates is often employed in practical applications. However, a large number of impact tests are not practical for the modal testing of large‐scale mechanical equipment. The primary objective of this paper is to reduce the averaging operation and improve the accuracy of the modal identification by using a noise removal technique. A hybrid denoising method is proposed by combining the Wiener and improved minimum mean‐square‐error short‐time spectral amplitude estimators. The proposed method can effectively remove both stationary and highly nonstationary noise while preserving the important features of the true forced response signals. The simulation results show that the proposed noise removal technique improves the accuracy of the estimated modal parameters using only one impulse response signal. The experimental results show that the proposed method can accurately identify a natural frequency that is very close to a strong interference frequency in the modal test of a 600‐MW generator casing.

show abstract

“…In this work, the Riccati equation was modified to guarantee the robustness of the system and also improve the performance of tracking control. A hybrid control for the semi-active damper was also studied by Gawthrop et al (2012). However, the hybrid controller proposed in this work was not clearly presented in terms of intermittent control action.…”

Section: Introductionmentioning

confidence: 99%

An adaptive fuzzy sliding mode control of magneto-rheological seat suspension with human body model

Shin

Phu

Choi

et al. 2015

Journal of Intelligent Material Systems and Structures

View full text Add to dashboard Cite

This article presents the control performances of a vehicle seat suspension system equipped with magneto-rheological dampers using a new adaptive fuzzy sliding mode controller. A magneto-rheological damper is designed by applying the Bingham model incorporating with the field-dependent rheological properties of magneto-rheological fluid. On the other hand, a seat suspension model is established by integrating with a 4-degree-of-freedom human body model. Then, the governing equations are then derived considering the vertical motion of the seat. Subsequently, an adaptive fuzzy controller is formulated by considering the acceleration of the seat. This controller is combined with the sliding mode controller to ensure the robustness against model uncertainty and external disturbances. The controller is then evaluated through experiment. It is demonstrated that the proposed seat suspension system realized by the proposed adaptive fuzzy sliding mode controller can provide very effective ride comfort performances by reducing vertical acceleration under regular bump, random signal, and sinusoidal excitations.

show abstract

Semi-active damping using a hybrid control approach

Cited by 22 publications

References 54 publications

Power-constrained intermittent control

Power-constrained intermittent control

Identification of modal parameters from noisy transient response signals

An adaptive fuzzy sliding mode control of magneto-rheological seat suspension with human body model

Contact Info

Product

Resources

About