Optimization of semi-trailing arm suspension for improving handling and stability of passenger car

Abstract

Semi-trailing arm is an extended form of two suspension systems trailing arm and swing axle that compromises advantages and disadvantages of those systems. In this article, using Bees algorithm optimization method, the characteristic parameters of a semi-trailing arm suspension system to optimize the handling and stability performances of a passenger car are determined. Two types of objective functions, namely off-line and on-line, are defined. In off-line objective function, variation of camber, toe angle, and wheel track due to roll are considered. In the on-line objective function, handling and stability performance of a moving vehicle in a standard J-turn maneuver are considered. A nine degreeof-freedom non-linear vehicle model consists of semi-trailing arm and MacPherson suspensions in rear and front axle, respectively, is considered. The optimized suspension systems obtained from both off-line and on-line objective functions are utilized in making two accurate vehicle models in ADAMS-Car for experimental field test. A comparison between the behaviors of the two vehicles shows that despite the simplicity of optimization with off-line objective functions relative to on-line1, it returns the satisfactory results and improves both the handling and stability performances.

The Study of Optimization and Matching to Spring and Antiroll Bar Stiffness of Suspension for Multiresponse Target of Whole Vehicle under Sine-Swept Steering Input

“…However, in order to reflect the performance of the car under some special working conditions, after omitting some minor parts of the complex automobile system, a simplified 5-DOF vehicle dynamic model is established. e model's degrees of freedom include three angular motions of the sprung mass (roll, pitch, and yaw) and two planar motions of the unsprung mass (longitudinal and lateral) [1,18].…”

“…Finally, the comparison results show that the offline objective function optimization is better than the online objective function optimization. e handing stability has been improved [1]. Mastinu et al proposed a formula to describe the dynamic of suspension based on the 1/4 vehicle model and gave the standard deviations of the analytical forms of vehicle's body acceleration, the relative displacement of sprung and unsprung mass, and the ground force, respectively.…”

Proposing a novel fuzzy control algorithm for automotive active stabilizer bars based on views of roll stability and ride comfort

“…According to Kazemi et al, they can use optimal semi-trailing arm suspension to enhance the stability and handling of the vehicle. 9 Above all, the driver’s control is the main cause of rollovers. Centrifugal force occurs when steering, causing the vehicle body to tilt.…”

The multi-objective optimization of the damaged aircraft trailer based on a dynamic model

“…The multiobjective optimization method has been used for fullvehicle suspension systems. [16][17][18][19] In recent years, the non-dominated sorting genetic algorithm II (NSGA-II) has been widely used in dealing with multi-objective optimization. Therefore, the OLHS was adopted to build RBF neural network surrogate models for each optimization.…”