Gradient-based approximation methods applied to the optimal design of vehicle suspension systems using computational models with severe inherent noise

Schalk, P.; Uys, P. E.; Snyman, J. A.; Thoresson, Michael John

doi:10.1016/j.mcm.2005.08.018

Cited by 20 publications

(16 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Dynamic-Q is particularly well suited to practical engineering optimisation problems, where noise may be present in the evaluation of the objective and constraint functions via computational simulations. It has also successfully been applied to optimisation of suspension settings for ride comfort and handling [5] and [6]. In previous work the ride comfort function being optimised was either the root mean square (RMS) value of the simulated vertical acceleration at the left rear passenger seat over the time period frequency, weighted in terms of the British openUP (July 2007) Standard 6841 filter [5], or the RMS vertical acceleration value calculated as mentioned, but for the combined driver plus the left rear passenger seat [6].…”

Section: Deciding On the Best Objective Functionmentioning

confidence: 99%

“…The front and rear suspension characteristics are scaled with respect to the standard suspension by means of front damper and spring scaling factors and rear damper and spring scaling factors. For optimisation purposes the gradient-based Dynamic-Q algorithm, which has previously been used in conjunction with suspension optimisation [5] and [6] is used. There are four variables that can be adjusted: the rear and front spring scaling factors and the rear and front damper scaling factors.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Suspension settings for optimal ride comfort of off-road vehicles travelling on roads with different roughness and speeds

Uys¹,

Schalk²,

Thoresson³

2007

Journal of Terramechanics

Self Cite

141

View full text Add to dashboard Cite

This paper reports on an investigation to determine the spring and damper settings that will ensure optimal ride comfort of an off-road vehicle, on different road profiles and at different speeds. These settings are required for the design of a four stage semi-active hydro-pneumatic spring damper suspension system (4S 4 ). Spring and damper settings in the 4S 4 can be set either to the ride mode or the handling mode and therefore a compromise ride-handling suspension is avoided. The extent to which the ride comfort optimal suspension settings vary for roads of different roughness and varying speeds and the levels of ride comfort that can be achieved, are addressed. The issues of the best objective function to be used when optimising and if a single road profile and speed can be used as representative conditions for ride comfort optimisation of semi-active suspensions, are dealt with. Optimisation is performed with the Dynamic-Q algorithm on a Land Rover Defender 110 modelled in MSC.ADAMS software for speeds ranging from 10 to 50 km/h. It is found that optimising for a combined driver plus rear passenger seat weighted root mean square vertical acceleration rather than using driver or passenger values only, returns the best results. Results indicate that optimisation of suspension settings using one road and speed will improve ride comfort on the same road at different speeds. These settings will also improve ride comfort for other roads at the optimisation speed and other speeds, although not as much as when optimisation has been done for the openUP (July 2007) particular road. For improved ride comfort damping generally has to be lower than the standard (compromised) setting, the rear spring as soft as possible and the front spring ranging from as soft as possible to stiffer depending on road and speed conditions. Ride comfort is most sensitive to a change in rear spring stiffness.

show abstract

Section: Deciding On the Best Objective Functionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Suspension settings for optimal ride comfort of off-road vehicles travelling on roads with different roughness and speeds

Uys¹,

Schalk²,

Thoresson³

2007

Journal of Terramechanics

Self Cite

141

View full text Add to dashboard Cite

show abstract

“…Michelberger et al [14] identified a discrete transfer function for a free-free beam model of a two-axis bus, and then estimated modal characteristics based on the measured data. The principal aim of paper [15] is to evaluate the feasibility of using gradient-based approximation methods for the optimization of the spring and damper characteristics of an off-road vehicle, for both ride comfort and handling. Eriksson and Friberg [16] optimized the linear spring and damper characteristics of the engine mounting system on a city bus for the ride comfort.…”

Section: Introductionmentioning

confidence: 99%

Influence of tire inflating pressure at dynamic forces acting on articulated trolleybus

Polach

2017

MATEC Web Conf.

View full text Add to dashboard Cite

Abstract. ŠKODA VÝZKUM s.r.o. cooperated on the development of the NEOPLAN DMA low-floor articulated trolleybus intended for the Boston city. Multibody models and finite element models of the trolleybus were utilized in the stage of the vehicle design. At the end of the stage of computer modelling and testing of the trolleybus prototype a decision to reduce tire inflating of vehicles in serial production (together with the change the type of shock absorbers used in trolleybus suspension) was made. The impact of this change on forces acting in the trolleybus suspension elements (i.e. in air springs and shock absorbers) and radius rods on the trolleybus chassis when running on an uneven test track was investigated using multibody simulations. Time histories of the forces calculated utilising multibody models were used as input data of the trolleybus finite element models.

show abstract

“…Although these methods are systematic and can provide a good compromise between conflicting objectives and control force, they are exclusively applicable to linear models, whereas a real vehicle suspension has intrinsic non-linear behaviour. There are some non-linear control approaches which have used the optimization in controller design [31][32][33]. However, they have used numerical or search methods for calculating the control input at each instant of control process.…”

Section: Introductionmentioning

confidence: 99%

Non-Linear Predictive Control of Multi-Input Multi-Output Vehicle Suspension System

Malekshahi

Mirzaei

Aghasizade

2015

Journal of Low Frequency Noise, Vibration and Active Control

View full text Add to dashboard Cite

A new predictive control approach is employed to control a non-linear 4 degrees of freedom vehicle suspension model including pitch and bounce motions. The front and rear suspension actuator forces are considered as control inputs. These are determined by minimizing a performance index defined as a weighted combination of conflicting objectives, namely ride comfort and road holding. In this way, the suspension deflection and the control forces should be restricted to admissible practical ranges. In this paper, an optimization process is used to develop a multi-input multi-output (MIMO) non-linear control law in a closed-form which is mathematically tractable and suitable for implementation. To investigate special features of the derived control law, the closed-loop system dynamics are first evaluated analytically and then the corresponding simulation results are presented. The results show that a compromise between mentioned objectives and control energy, even in the presence of uncertainties, can be easily made by regulating the control weighting factors.

show abstract

Gradient-based approximation methods applied to the optimal design of vehicle suspension systems using computational models with severe inherent noise

Cited by 20 publications

References 20 publications

Suspension settings for optimal ride comfort of off-road vehicles travelling on roads with different roughness and speeds

Suspension settings for optimal ride comfort of off-road vehicles travelling on roads with different roughness and speeds

Influence of tire inflating pressure at dynamic forces acting on articulated trolleybus

Non-Linear Predictive Control of Multi-Input Multi-Output Vehicle Suspension System

Contact Info

Product

Resources

About