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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...
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 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...
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...
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