Using Adams/Car and Insight in Simulation and Optimization on Guiding Mechanism of Air Front-Suspension

A mode of air front-suspension is established, and the effect of alignment parameters with the bump of the wheels is analyzed. The Guiding Mechanism of Air Front- suspension is optimized by using Insight, The optimum model parameters is obtained. It is concluded by comparing the wheel alignment parameter before and after optimization that After optimization guide mechanism makes the vehicle has better steady state characteristics.

Simulation Analysis of Traditional and L Type Macpherson Suspension Based on ADAMS/Car

A Macpherson suspension model of a car was built based on ADAMS/ CAR. The kinematics discipline of the suspension was shown based on the general theory. Through the comparison of the simulation results of the two kinds of suspension, the L type Macpherson suspension in the wheel alignment parameter, steer angle and anti-lift/dive performance aspects is improved.

Based on Preference Front Wheel Alignment Parameters Robust Design

In order to obtain comprehensive robustness, preference function is applied on front wheel alignment parameter design. Two kinds of uncertainty factors have been integrated into the overall preference function. Random uncertainty is adopted by classical robust design method, and epistemic uncertainty such as individual preference is adopted by range method. The model of front wheel alignment parameters is established applying preference function. The optimal objective is composed of the minimum swing angle of front wheel during wheel bumping, the minimum slider during driving straightly, and the minimum steering angle error during steering. The optimum results are shown robustness on front wheel alignment parameter based on preference function is improved.