Road disturbance estimation for the optimal preview control of an active suspension systems based on tracked vehicle model

2017 ◽  
Vol 18 (2) ◽  
pp. 307-316 ◽  
Author(s):  
I. Youn ◽  
M. A. Khan ◽  
N. Uddin ◽  
E. Youn ◽  
M. Tomizuka
Author(s):  
Vikas Prasad ◽  
P. Seshu ◽  
Dnyanesh N. Pawaskar

Abstract In this paper, the design of the suspension system for Heavy Goods Vehicles (HGV) is proposed, which deals with two performance criteria simultaneously. A semi-tractor trailer is used in present work and modeled with half vehicle model. Four types of linear, as well as non-linear, passive and semi-active suspension systems, are presented in this work. The control law is proposed for the semi-active suspension system using a PID controller to remove the need for passive damper along with active damper. Two objective optimization is performed using the Non-dominated Sorting Genetic Algorithm II (NSGA-II). Road Damage (RD) is taken as the first objective along with Goods Damage (GD) as the second objective. All problems are minimization problems. It is concluded based on Pareto front comparison of different suspension systems that the semi-active suspension system with the proposed control law performs well for HGV.


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.


2010 ◽  
Vol 17 (2) ◽  
pp. 245-258 ◽  
Author(s):  
M.M. ElMadany ◽  
B.A. Al Bassam ◽  
A.A. Fayed

2015 ◽  
Vol 20 (5) ◽  
pp. 2299-2310 ◽  
Author(s):  
Christoph Gohrle ◽  
Andreas Schindler ◽  
Andreas Wagner ◽  
Oliver Sawodny

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