Stochastic Responses of Vehicle-Bridge Coupling System

2012 ◽  
Vol 178-181 ◽  
pp. 2312-2315
Author(s):  
Min Lin ◽  
Xiang Wei Zhang ◽  
Si Yuan Chen

In this paper,we want to obtain the research of virtual vehicle-birdge coupling system, a vehicle-bridge coupling model was established based on the multi-point Pseudo Excitation Method model, and then the simulation result was gained by ANSYS. First,a detailed multi-body dynamic model of the vehicle was established by using ADAMS/VIEW software package; secondly, a stochastic controller was designed for active suspension system and worked out by means of Matlab/Simulink, the proposed control algorithm was integrated with the multi-body dynamic vehicle model and the coupling system simulations could be performed repeatedly until a satisfactory controller was achieved, the system was compared with a conventional passive one. Simulation results showed that the proposed active suspension considerably improved both the ride and handling performance of the vehicle.

2013 ◽  
Vol 427-429 ◽  
pp. 266-270
Author(s):  
Yue Gang Wang ◽  
Zhao Yang Zuo ◽  
Jian Guo Wu ◽  
Hai Bo Li

In order to study the dynamic characteristics of centrifuge facility-vibration shaker system, In the establishment of centrifuge facility-vibration shaker system multi-body dynamic model based on virtual mocking technology, the virtual dynamic model of the entire centrifuge facility-vibration shaker system more close to reality is built up by the transmission of finite element of flexible centrifuge arm. This paper describes how to build the 3-D virtual prototype of centrifuge facility-vibration shaker system by using Pro/e and ADAMS software, and how to create the modal neutral file of the centrifuge arm by using ANSYS software. Considering the system as a rigid-flexible coupling system, the dynamical simulation is carried out, and the results are benefit for the further research of its kinetic behavior, dynamic and variable characteristics basis and the design of such system.


2010 ◽  
Vol 44-47 ◽  
pp. 1492-1495 ◽  
Author(s):  
Rui Zhen Gao ◽  
Zhi Qiang Xu ◽  
Jing Jun Zhang

This paper establish a multi-body dynamic model of the Vehicle. The fuzzy logic controller was designed for the semi-active suspension based on improved genetic algorithm, then, the co-simulation were carried out based on Adams and Matlab/Simulink. The results demonstrate that this control method enhances the performance of the full car suspension system significantly.


2010 ◽  
Vol 143-144 ◽  
pp. 956-960 ◽  
Author(s):  
Jing Jun Zhang ◽  
Zhi Qiang Xu

The study is researched to establish a multi-body dynamic model of the Vehicle by using Adams /Car software package. Using genetic algorithm approach,fuzzy logic controller of the semi-active suspension was designed, simulated in the environment of Matlab/Simulink.. The results of being compared with the passive suspension demonstrate that this developed fuzzy logic controller based on Adams /Car and Matlab/Simulink enhances the performance of the full car suspension system significantly.


Author(s):  
Wael Saab ◽  
Pinhas Ben-Tzvi

This paper presents the design and analysis of a reduced degree-of-freedom Robotic Modular Leg (RML) mechanism used to construct a quadruped robot. This mechanism enables the robot to perform forward and steering locomotion with fewer actuators than conventional quadruped robots. The RML is composed of a double four-bar mechanism that maintains foot orientation parallel to the base and decouples actuation for simplified control, reduced weight and lower cost of the overall robotic system. A passive suspension system in the foot enables a stable four-point contact support polygon on uneven terrain. Foot trajectories are generated and synchronized using a trot and modified creeping gait to maintain a constant robot body height, horizontal body orientation, and provide the ability to move forward and steer. The locomotion principle and performance of the mechanism are analyzed using multi-body dynamic simulations of a virtual quadruped and experimental results of an integrated RML prototype.


2021 ◽  
Vol 224 ◽  
pp. 108729
Author(s):  
Shujie Zhao ◽  
Xun Meng ◽  
Huajun Li ◽  
Dejiang Li ◽  
Qiang Fu

2015 ◽  
Vol 2015 ◽  
pp. 1-10
Author(s):  
Yuliang Li ◽  
Chong Tang

In order to conveniently analyze the dynamic performance of tracked vehicles, mathematic models are established based on the actual structure of vehicles and terrain mechanics when they are moving on the soft random terrain. A discrete method is adopted to solve the coupled equations to calculate the acceleration of the vehicle’s mass center and tractive force of driving sprocket. Computation results output by the model presented in this paper are compared with results given by the model, which has the same parameters, built in the multi-body dynamic software. It shows that the steady state calculation results are basically consistent, while the model presented in this paper is more convenient to be used in the optimization of structure parameters of tracked vehicles.


2014 ◽  
Vol 945-949 ◽  
pp. 591-595 ◽  
Author(s):  
Meng Chen ◽  
Yan Yun Luo ◽  
Bin Zhang

Finite element model of track in frog zone is built by vehicle-turnout system dynamics. Considering variation of rail section and elastic support, bending deformation of turnout sleeper, spacer block and sharing pad effects, the track integral rigidity distribution in longitudinal direction is calculated in the model. Vehicle-turnout rigid-flexible coupling model is built by finite element method (FEM), multi-body system (MBS) dynamics and Hertz contact theory. With the regularity solution that different stiffness is applied for rubber pad under sharing pad of different turnout sleeper zone, analysis the variation of vertical acceleration of bogie and wheelset, rail vertical displacement and wheel-rail interaction force, this paper proves that setting reasonable rubber pad stiffness is an efficient method to solve rigidity irregularity problem.


2012 ◽  
Vol 51 ◽  
pp. 1-15 ◽  
Author(s):  
L. Sun ◽  
R. Eatock Taylor ◽  
Y.S. Choo

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