Nonlinear semi-active adaptive vibration control of a half vehicle model under unmeasured road input

2019 ◽  
Vol 25 (18) ◽  
pp. 2453-2472 ◽  
Author(s):  
Mahmut Paksoy ◽  
Muzaffer Metin

This study examined automobile vibrations by using a half vehicle model, and its vertical and angular vibrations were suppressed by means of the nonlinear adaptive control of a magneto-rheological damper. The control method was designed in such a way that it did not need to measure the road input to suppress the vibrations by the use of adaptive road observers. Therefore, disadvantages such as measurement difficulty and cost were also eliminated. Instead of completely experimental test rigs, the hardware-in-the-loop simulation which is a hybrid method was preferred due to it being easier to set up, cheaper, and also it had a close response to the full experimental system. The experimental responses obtained by the proposed adaptive control method with adaptive road observers and the nonlinear adaptive control method in which the road disturbances were measured were compared in the time and frequency domains. Finally, the effectiveness of the proposed method was shown using some figures, root mean square values, and performance indices.

2019 ◽  
Vol 20 (1-2) ◽  
pp. 57-61
Author(s):  
Wiesław Grzesikiewicz ◽  
Michał Makowski

We considered of a vehicle model equipped with controlled magneto-rheological (MR) dampers and controlled aerodynamic elements. The vibrations of the vehicle moving at high speed during acceleration and braking are analysed. The purpose of this analysis is to determine the effect of forces generated on aerodynamic elements on vehicle vibrations and changes in wheel pressure on the road surface during acceleration and braking. The presented work presents the results of numerical investigations obtained on the basis of the developed vehicle model.


Author(s):  
Gokhan Kararsiz ◽  
Mahmut Paksoy ◽  
Muzaffer Metin ◽  
Halil Ibrahim Basturk

This article presents an application of the adaptive control method to semi-active suspension systems in the presence of unknown disturbance and parametric uncertainty. Due to the technical difficulties such as time delay and sensor noise, the road disturbance is assumed to be unmeasured. To overcome this problem, an observer is designed to estimate the disturbance. It is considered that the road profile consists of a finite number of the sum of sinusoidal signals with unknown amplitudes, phases and frequencies. After the parametrization of the observer, the adaptive control approach is employed to attenuate the effect of the road-induced vibrations using a magnetorheological damper. It is proved that the closed-loop system is stable, despite the adverse road conditions. Finally, the performance of the controller is illustrated with a hardware-in-the-loop simulation in which the system is subjected to sinusoidal and random profile road excitations. To demonstrate the benefits of the adaptive controller, the results are presented in comparison with a conventional proportional integral derivative (PID) controller.


2006 ◽  
Vol 16 (04) ◽  
pp. 1089-1096 ◽  
Author(s):  
YAN-LI ZOU ◽  
JIE ZHU ◽  
GUANRONG CHEN

In this paper, stabilization of fixed points of n-scroll Chua's circuit is investigated. Two adaptive control methods are proposed. One is based on an unstable low pass filter; the other is based on a stable and an unstable low pass filter. The simulation results verify the effectiveness of the two proposed control methods and performance comparisons show that the second control method is superior to the first one with regard to control speed and attraction basins.


2014 ◽  
Vol 602-605 ◽  
pp. 1313-1316 ◽  
Author(s):  
Xiao Dong Gao ◽  
Liang Gu ◽  
Ji Fu Guan ◽  
Jun Feng Gao

A half tracked vehicle model was established based on LMS, a co-simulation interface between control algorithm of MATLAB and physical model of LMS was set up. Fuzzy controller with PID regulator was proposed to achieve controlling strategy based on half tracked vehicle model. With suspension stroke and its change rate as input parameters of fuzzy controller, the dynamic adjusting parameters of PID controller are acquired through fuzzy controller, then a semi-active suspension vehicle adaptive control system was formed. The simulation result shows that the adaptive control system can effectively coordinate the contradiction acceleration and dynamic travel in different bands, the ride comfort tracked vehicle is significantly improved.


2012 ◽  
Vol 490-495 ◽  
pp. 573-577
Author(s):  
Yong Qiang Gao ◽  
Jin Qiu Zhang ◽  
Jin Feng Jia ◽  
Jie Yue

Magneto-rheological fluid damper(MRFD) is one of new type damper. Based on MRFD, a new model reference adaptive control(MRAC) system is designed in this paper, and it employed sky-hook damping control as model reference. Lyapunov stability theory is used to deduce adaptive control law, and simulation result indicates that MRAC system is not only can follow sky-hook control quickly and well, and it also can adapt to the road conditons, varaition of vehicle body mass and suspension system parameter


Lubricants ◽  
2021 ◽  
Vol 9 (3) ◽  
pp. 32
Author(s):  
Emmanuel P. Georgiou ◽  
Dirk Drees ◽  
Michel De Bilde ◽  
Michael Anderson ◽  
Matthias Carlstedt ◽  
...  

In this work, we report on the most recent progress in studying temperature influence on tackiness of greases, as well as the reproducibility of the method. Tackiness and adhesion of greases have been identified as key intrinsic properties that can influence their functionality and performance. During the last eight years, a reliable method to quantify the tackiness and adhesion of greases has evolved from an experimental lab-scale set-up towards a standardised approach, including an ASTM method and a dedicated test tool. The performance of lubricating greases—extensively used in diverse industrial applications—is strongly dependent on their adherence to the substrate, cohesion and thread formation or tackiness of the greases. This issue attracts more and more industrial interest as the complexity in grease formulation evolves and it is harder to differentiate between available greases. With this method, grease formulators will have an efficient measurement tool to support their work.


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