Parameters uncertainty in pareto optimization of nonlinear inerter-based suspension system under nonstationary random road excitation

Abstract

Ignoring the possible impacts of uncertainties in vehicle components during the design phase can undermine the safety of passengers and the vehicle performance. The main function of a suspension system is to provide satisfactory ride comfort and road-holding with a sufficiently low probability of rollover. Despite many studies on the design of new suspension systems with inerters, the effect of uncertainties in vehicle weight and tire stiffness on the design of suspension with inerters has not received much attentions. This paper presents a new type of suspension with inerters and asymmetric dampers and investigates the dynamic behavior of a vehicle under variable vehicle speed. Moreover, the effect of uncertainties on the choice of acceptable values of inerters is evaluated. For this investigation, the authors developed a 9-DOF full vehicle model with roll and yaw motions under non-stationary random road excitations in the time and frequency domains and studied its dynamic response with different suspension models. The optimal design was performed using a multi-objective optimization algorithm called MOEA/D. The best model was then used to determine the effect of uncertainties on the choice of inerters. The optimization results show that using the optimized suspension with inerters and nonlinear dampers instead of conventional design improves the ride comfort by 0.16%, the vehicle road-holding by 3.54%, and the rollover probability by 44.73%. In the proposed model, by changing the values of vehicle parameters with uncertainty, the choice of inerters to have an acceptable performance would be variable.

Optimization of a land vehicle suspension subjected to a buried charge explosion

“…The maximum values of the x 1 and x 2 depend on the space available to insert the control arm, while a value below 10 mm makes it so weak that it cannot even perform its original function in the suspension system. The stiffness range imposed for the coil spring varies from a minimum value of 15 N/mm which corresponds to a car, 19,23 to a maximum value of 90 N/mm for a reinforced suspension system. 57 The nominal values are: x 1 = 20 mm , x 2 = 15 mm and x 3 = 40 N / mm .…”

“…Some studies focus on optimizing the vehicle suspension system to improve handling, vehicle manoeuvrability, rollover probability and passenger comfort. [19][20][21] Other work proposes to improve traditional suspension systems by using composite materials in the design process, 22 or to substitute the mechanical system with a mechatronic system to better isolate vibrations. 23 In the case of an optimization problem based on a finite element model, the substitution models are privileged to estimate the objective function.…”

Evaluate the stability of the vehicle when using the active suspension system with a hydraulic actuator controlled by the OSMC algorithm

“…In general, the efficiency of nonlinear and intelligent control methods is very high [37][38][39][40] . In addition, some optimization methods used to select controller parameters have also been applied in some papers [41][42][43] . The results brought from these methods are positive.…”

Optimal Control Method of Semi-Active Suspension System and Processor-in-the-Loop Verification

“…Seifi and Hassannejad put forward the critical importance of considering uncertainties in vehicle components during design to ensure passenger safety and optimal performance. They introduced a novel suspension system with inverters and asymmetric dampers, demonstrating significant improvements in ride comfort, road-holding, and rollover probability compared to conventional damper designs [26]. Shen et al studied a novel combined suspension system, incorporating a power-driven damper (PDD) and inerter-spring damper (ISD).…”