Stochastic optimal preview control of a vehicle suspension

Marzbanrad, Javad; Ahmadi, Goodarz; Zohoor, Hassan; Hojjat, Yousef

doi:10.1016/s0022-460x(03)00812-5

Cited by 124 publications

(60 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The response of the system (body acceleration and tyre deflection) crossing two large bumps and an asphalt road at 20 m/s is given for suspensions with and without adaptive capability based on preview. Marzaband et al [11] consider paved roads with roughness presented by an elevation spectral density and surface irregularity standard deviation of 0.01 m. A four-DOF half-car model is used to optimise suspension settings for ride comfort based on preview information. Tamboli and Joshi [12] determine values for the spring stiffness and damping coefficients when optimising for the mean square vertical acceleration of a vehicle travelling at different speeds over sinusoidal, highway and city type roads.…”

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

142

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: 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

142

View full text Add to dashboard Cite

show abstract

“…Preview active control of suspension involves the acquisition and use of information concerning the road profile ahead of the vehicle. Use of road preview information for improving vehicle suspension system was first proposed by Bender [54], as cited by Marzbanrad et al [55]. Tomizuka [56] depicted the implementation aspect of the preview control of suspension in practice.…”

Section: Development Of Active Suspension Systemsmentioning

confidence: 99%

The Future Development and Analysis of Vehicle Active Suspension System

Ghazaly¹,

Moaaz²

2014

IOSRJMCE

View full text Add to dashboard Cite

“…The well-known independent suspension system is "McPherson" developed in 1947 [4]. As the suspension systems are divided two parts, the corresponding models are similarly divided into three groups: Quarter-car [5], half-car [6] and full-car models [7]. Quarter car model is considered for only one wheel of the vehicle.…”

Section: Introductionmentioning

confidence: 99%

Optimal PID Design for Control of Active Car Suspension System

Altınöz¹,

Yilmaz²

2018

IJITCS

View full text Add to dashboard Cite

Abstract-This research is based on the determination of the parameters of the PID and fractional-order PID controllers designed for quarter-car suspension system. Initially, without considering the active suspension structure, the performance of the passive suspension system under different wheel load index is presented by using the transfer function of the system. Then, by adding a wheel-load, the classical PID controller is designed and applied to the current controlled hydraulic actuator as a part of active suspension system. The parameters of this controller are determined by three heuristic optimization algorithms; Particle Swarm Optimization (PSO), Differential Evolution (DE) and Gravitational Search Algorithm (GSA). As the second part of this study after evaluating the performance of classical PID controller, fractional-order PID controller is designed and applied to the problem to improve the performance of the classical PID controller. Similarly, the parameters of this controller are also obtained by using the same optimization algorithms. In the paper, for modeling the road, instead of sinusoidal (road with hill) or random changes, a saw tooth signal is preferred as a relatively harder condition. Implementation results are showed that the performance of the fractional-order PID controller is much better that PID controller and also instead of relatively complex and expensive controller, it is possible to use fractional-order PID controller for the problem.

show abstract

Stochastic optimal preview control of a vehicle suspension

Cited by 124 publications

References 17 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

The Future Development and Analysis of Vehicle Active Suspension System

Optimal PID Design for Control of Active Car Suspension System

Contact Info

Product

Resources

About