Mixed Skyhook and FxLMS Control of a Half-Car Model with Magnetorheological Dampers

Krauze, Piotr; Kasprzyk, Jerzy

doi:10.1155/2016/7428616

Cited by 8 publications

(3 citation statements)

References 23 publications

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“…Automation facilitates the process in exchange for the higher cost of instruments used [ 56 ]. In some fields, the term ‘calibration’ is sometimes replaced by ‘estimation of model parameters’ based on experimental data but, indeed, it refers to the same activities [ 57 ].…”

Section: Introductionmentioning

confidence: 99%

Indication Variability of the Particulate Matter Sensors Dependent on Their Location

Wiora,

Kasprzyk

2024

Sensors

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Particulate matter (PM) suspended in the air significantly impacts human health. Those of anthropogenic origin are particularly hazardous. Poland is one of the countries where the air quality during the heating season is the worst in Europe. Air quality in small towns and villages far from state monitoring stations is often much worse than in larger cities where they are located. Their residents inhale the air containing smoke produced mainly by coal-fired stoves. In the frame of this project, an air quality monitoring network was built. It comprises low-cost PMS7003 PM sensors and ESP8266 microcontrollers with integrated Wi-Fi communication modules. This article presents research results on the influence of the PM sensor location on their indications. It has been shown that the indications from sensors several dozen meters away from each other can differ by up to tenfold, depending on weather conditions and the source of smoke. Therefore, measurements performed by a network of sensors, even of worse quality, are much more representative than those conducted in one spot. The results also indicated the method of detecting a sudden increase in air pollutants. In the case of smokiness, the difference between the mean and median indications of the PM sensor increases even up to 400 µg/m3 over a 5 min time window. Information from this comparison suggests a sudden deterioration in air quality and can allow for quick intervention to protect people’s health. This method can be used in protection systems where fast detection of anomalies is necessary.

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Section: Introductionmentioning

confidence: 99%

Indication Variability of the Particulate Matter Sensors Dependent on Their Location

Wiora,

Kasprzyk

2024

Sensors

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“…The classical quarter-car model [ 6 ], which is often used for theoretical analyses, describes the vertical dynamics of a quarter of the vehicle and consists of unsprung and sprung masses. Its extension, the half-car model [ 14 ], can additionally separately describe the front and rear wheels as well as the pitch motion of the vehicle body. Such a model is widely used in the literature: e.g., the analysis of different control strategies, including time delays and preview, was presented in [ 15 ].…”

Section: Introductionmentioning

confidence: 99%

Identification of Control-Related Signal Path for Semi-Active Vehicle Suspension with Magnetorheological Dampers

Krauze

2023

Sensors

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This paper presents a method for the identification of control-related signal paths dedicated to a semi-active suspension with MR (magnetorheological) dampers, which are installed in place of standard shock absorbers. The main challenge comes from the fact that the semi-active suspension needs to be simultaneously subjected to road-induced excitation and electric currents supplied to the suspension MR dampers, while a response signal needs to be decomposed into road-related and control-related components. During experiments, the front wheels of an all-terrain vehicle were subjected to sinusoidal vibration excitation at a frequency equal to 12 Hz using a dedicated diagnostic station and specialised mechanical exciters. The harmonic type of road-related excitation allowed for its straightforward filtering from identification signals. Additionally, front suspension MR dampers were controlled using a wideband random signal with a 25 Hz bandwidth, different realisations, and several configurations, which differed in the average values and deviations of control currents. The simultaneous control of the right and left suspension MR dampers made it necessary to decompose the vehicle vibration response, i.e., the front vehicle body acceleration signal, into components related to the forces generated by different MR dampers. Measurement signals used for identification were taken from numerous sensors available in the vehicle, e.g., accelerometers, suspension force and deflection sensors, and sensors of electric currents, which control the instantaneous damping parameters of MR dampers. The final identification was carried out for control-related models evaluated in the frequency domain and revealed several resonances of the vehicle response and their dependence on the configurations of control currents. In addition, the parameters of the vehicle model with MR dampers and the diagnostic station were estimated based on the identification results. The analysis of the simulation results of the implemented vehicle model carried out in the frequency domain showed the influence of the vehicle load on the absolute values and phase shifts of control-related signal paths. The potential future application of the identified models lies in the synthesis and implementation of adaptive suspension control algorithms such as FxLMS (filtered-x least mean square). Adaptive vehicle suspensions are especially preferred for their ability to quickly adapt to varying road conditions and vehicle parameters.

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“…The role of fluid inertia is more remarkable when MR dampers are operated at high-frequency loads (Syrakos et al, 2016). The viscoelastic effect of MR fluids increases proportionally with magnetic field strength causing an increase of the nonlinear hysteretic behaviour (Krauze and Kasprzyk, 2016;Xu et al, 2012). (iii) Hydraulic dampers, in general, are closed systems (no inlets or outlets for the fluid).…”

Section: Introductionmentioning

confidence: 99%

Study of failure symptoms of a single-tube MR damper using an FEA-CFD approach

Elsaady

Oyadiji

Nasser

2020

Journal of Intelligent Material Systems and Structures

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A new magnetorheological (MR) damper has been designed, manufactured, modelled and tested under cyclic loads. A faulty behaviour of the damper was accidentally detected during the experiments. It was deduced that the presence of air bubbles within the MR fluid is the main reason for that failure mode of the damper. The AMT-Smartec+ MR fluid used in the current study, a new MR fluid whose characteristics are not available in the literature, exhibits good magnetic properties. However, the fluid has a very high viscosity in the absence of magnetic field. It is assumed that this high viscosity enables the retention of air bubbles in the damper and causes the faulty behaviour. To prove this assumption, a coupled numerical approach has been developed. The approach incorporates a Finite Element Analysis (FEA) of the magnetic circuit and a Computational Fluid Dynamics (CFD) analysis of the fluid flow. A similar approach was presented in a previous publication in which an ideal behaviour of an MR damper (no effect of air bubbles) was investigated. The model has been modified in the current study to include the effect of air bubbles. The results were found to support the assumptions for the reasons of the failure symptoms of the current MR damper. The results are shown in a comparative way between the former and current studies to show the differences in flow parameters, namely: pressure, velocity and viscosity, in the faultless and faulty modes. The results indicate that the presence of air bubbles in MR dampers reduces the damper force considerably. Therefore, the effect of the high yield stress of MR fluids due to the magnetic field is reduced.

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Mixed Skyhook and FxLMS Control of a Half-Car Model with Magnetorheological Dampers

Cited by 8 publications

References 23 publications

Indication Variability of the Particulate Matter Sensors Dependent on Their Location

Indication Variability of the Particulate Matter Sensors Dependent on Their Location

Identification of Control-Related Signal Path for Semi-Active Vehicle Suspension with Magnetorheological Dampers

Study of failure symptoms of a single-tube MR damper using an FEA-CFD approach

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