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Aimed at the effect of variable coefficients and the constant coefficients to the system, a quarter-car two degree freedom suspension vibration model is described, with the aid of matlab alternating senior programmable language, the algorithm is gained through function file, the simulation model of the road noise and the suspension system is obtained. Moreover, The one order standard sensitivity function...
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...
In this paper, a six degree of freedom half body vehicle suspension system is developed. The neural network algorithm is used to control the suspension system. With the aid of software Matlab/Simulink, the simulation model is achieved. With changing of neural network coefficients, such as changing of training epoch and changing of the network structure, a lot of simulation work is done. Simulation...
An active suspension system for vehicles using the genetic algorithms and neural network controls strategy is presented. A half car four degree of freedom suspension vibration model is described. Compared with the conventional passive suspension system, the analysis is done to the system control performance. The analysis of the system response is obtained through the change of the neural network training...
This paper demonstrates an active suspension system for vehicles using fuzzy logic controls. The model is described by a linear system with five degrees of freedom. Road roughness height is modeled as a filtered white noise stochastic process. Based on control theory, the fuzzy control system of the active suspension is proposed. By using the Matlab/simulink software, the simulation model is obtained...
The paper is concerned with an active suspension system for vehicles using a LQG control. The model created here is described by a linear system with four degrees of freedom, subject to random excitation from road surface. The control is determined from the view-point of ride comfort, minimizing a given perform index. The simulation results indicate that the proposed active suspension system performs...
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