The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Compared to the active damping control, semi-active control is a more preferred alternative for practical use. Many different semi-active control methods have been developed, among which Skyhook (SH), Acceleration-Driven-Damper (ADD) and Model Predictive Control (MPC) have received lots of attentions. In order to improve the existing semi-active control methods in terms of performance and cost, a...
Suspension system in a vehicle is used for passenger comfort, road handling and ride control, and is essentially a spring-damper system. An Active Suspension system employs an external force, in addition to the damper force, calculated using a control algorithm. In this paper, a study has been done to implement a PID based controller by disturbance rejection and vibration isolation principle. This...
The suspension system aims to support vehicle body. It provides passenger comfort and vehicle stability by isolating road disturbances. Passive suspension systems can't handle the tradeoff between passenger safety and vehicle stability. Active control has the ability to handle this tradeoff and provide both vehicle stability and passenger safety. Different active controllers based on adaptive Takagi...
In order to study the driving performance of semi-active suspension vehicle, a detailed multi-body driving dynamics model of the car were established by using SIMPACK software., and a hybrid control strategy was worked out by means of Matlab/Simulink. The Simpack-Matlab co-simulation method was used to analyze the ride ability of semi-active suspension. The result showed that, the semi-active suspension...
Virtual proving ground (VPG) technology is applied to simulate vehicle ride comfort. The multi-body dynamics model for vehicle virtual simulation and random road surface are established under VPG. The body acceleration time-domain curves and frequency-domain power spectrums are obtained by LS-DYNA. Total weighted acceleration of vehicle ride comfort is evaluated by root-mean-square method. The effects...
A new wheel model was established to simulate stand-still and starting condition which can't be accurately described by previous tire model. In this new model, the wheel is simplified into two parts: wheel-rim and contact patch, which were connected by spring-dampers. Contact patch dynamic system was established, so tire slip ratio can be calculate more accurately. By introducing stick-slip friction...
In this paper, a six degree of freedom half body vehicle suspension system is developed and the road roughness intensity is modeled as a filtered white noise stochastic process. Based on control theory, the fuzzy control system of the active suspension is established. With the aid of software Matlab/simulink, simulation process is done. Simulation results indicate that the proposed active suspension...
This paper describes a methodology to determine a set of optimum nonlinear system parameters for a passive suspension system (PSS) by using the evolutionary algorithms so that the best performance of the system can be achieved. The selected fitness functions are based on the desired performance such as sprung mass acceleration, suspension deflection, and tire deflection. A dynamic step-size operator...
A multi-body virtual prototype of heavy truck is presented in ADMAS/CAR software. Two kinds of adjustable damper control system are established within MATLAB/Simulik virtual environment, including semiactive dasiaon-offpsila control and semi-active magneto-rheological (MR) control based on revised Bingham model. In addition, co-simulation to the whole truck system is finished through building interface...
A method for identification of adjustable shock absorbers is presented which combines a modern QRRLS parameter estimation algorithm (DSFI) with an artificial neural network (ANN) for classification purposes. The parameter estimation algorithm is based on a discrete-time linear model. Thus, no state variable filter (SVF) as for continuous time identification problems is required. For the ANN, a multilayer...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.