Active suspension control of ground vehicle based on a full-vehicle model

2000 ◽  
Author(s):  
S. Ikenaga ◽  
F.L. Lewis ◽  
J. Campos ◽  
L. Davis
Keyword(s):  
Active Suspension ◽  
Vehicle Model ◽  
Ground Vehicle ◽  
Full Vehicle ◽  
Suspension Control

The Implementation of Skyhook Control for Semi-Active Suspension Based on Vi-CarRealTime

2015 ◽  
Vol 713-715 ◽  
pp. 748-751 ◽  
Author(s):  
Bo Wei Bi ◽  
Fang Xiao
Keyword(s):  
Control Strategy ◽  
Ride Comfort ◽  
Active Suspension ◽  
Vehicle Model ◽  
Control Range ◽  
Control Signals ◽  
Suspension Control ◽  
Automobile Suspension ◽  
Simulation Results ◽  
Damper Control

The research of semi active suspension control strategy once was a hot point in the field of automobile suspension [2, 3], but it is difficult to achieve for most of them. I choose VI-CarRealTime to build vehicle model based on ADAMS vehicle model. Kalman Filter designed based on 1/2 vehicle model supply control signals for controller. Considering characteristics of CDC damper, Skyhook control strategy is applied for simulation, the simulation results show that, Skyhook Control can improve vehicle ride comfort in CDC damper control range.

Investigation of Control Algorithms for Semi-Active Suspension Systems Based on a Full Vehicle Model

2011 ◽  
Author(s):  
M. A. Ajaj ◽  
A. M. Sharaf ◽  
S. A. Hegazy ◽  
Y. H. Hossamel-deen
Keyword(s):  
Control Algorithm ◽  
Shock Absorber ◽  
Ride Comfort ◽  
Active Suspension ◽  
Control Algorithms ◽  
Suspension Systems ◽  
Full Vehicle ◽  
Damping Characteristics ◽  
Active Suspension Systems ◽  
Suspension Control

This paper presents a comprehensive investigation of automotive semi-active suspension control algorithms and compares their characteristics in terms of ride comfort and tire-road holding ability. Particular attention has been paid to the semi-active suspension systems fitted with a shock absorber of dual damping characteristics. Different mathematical models are presented to investigate the ride response considering both simplified and complex vehicle models. Numerical simulation has been carried out through the MATLAB/SIMULINK environment which aids the future development of controllable suspension systems to improve vehicle ride comfort. The results show a considerable improvement of the vehicle ride response using different schemes of semi-active suspension system in particular the modified groundhook control algorithm.

Active Suspension Control Synthesis Using Reduced Order Models That Account for the Time Delay Between Road Inputs

2006 ◽  
Author(s):  
R. Michael Van Auken
Keyword(s):  
Time Delay ◽  
Model Reduction ◽  
Active Suspension ◽  
High Order ◽  
Control Algorithms ◽  
Control Law ◽  
Order Model ◽  
Ground Vehicle ◽  
Reduced Order ◽  
Suspension Control

The control of wheeled ground vehicle suspension systems is well suited for analysis and refinement using multi-input multi-output (MIMO) control law synthesis methods for linear systems. Usually it is necessary and desirable to develop the control algorithms using a reduced order model of the system. Since such vehicles are also characterized by correlated road inputs with time delay between the front and rear wheels, it is also desirable to consider this delay during the model reduction process. If this delay is taken into consideration, then it may be possible to develop low order control algorithms which compensate for the vehicle modes that are disturbed by the road inputs, resulting in improved overall performance. This paper describes the application of model reduction to a model of a ground vehicle for active suspension control law synthesis. The vehicle is described by a high order MIMO model of a “half-car” with four rigid-body degrees of freedom and flexible body modes to account for structural vibration, plus additional states to represent colored noise road disturbance inputs. Fourth order MIMO models suitable for control law synthesis are then determined using internal balancing, taking into consideration the time delay between the front and rear wheels, followed by subsystem elimination. The performance of the vehicle (high order model) with the resulting low order active suspension control laws is then assessed.

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