Ride comfort performance of different active suspension systems

Mántaras, Daniel Álvarez; Luque, Pablo

doi:10.1504/ijvd.2006.008456

Cited by 43 publications

(26 citation statements)

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“…Control of the active suspension is performed using an LQR controller, where it is assumed that the full state is measurable [16] and the system is linear with all the parameters known [17] or is successfully estimated as shown, for example, in [18]. A quadratic weighting criterion [19] is used such that, by choosing the weighting factors (see Table IV), one or two of the criteria can be emphasized.…”

Section: Modeling and Control Designmentioning

confidence: 99%

Efficiency of a Regenerative Direct-Drive Electromagnetic Active Suspension

Gysen¹,

Sande²,

Paulides³

et al. 2011

IEEE Trans. Veh. Technol.

142

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Abstract-The efficiency and power consumption of a direct-drive electromagnetic active suspension system for automotive applications are investigated. A McPherson suspension system is considered, where the strut consists of a direct-drive brushless tubular permanent-magnet actuator in parallel with a passive spring and damper. This suspension system can both deliver active forces and regenerate power due to imposed movements. A linear quadratic regulator controller is developed for the improvement of comfort and handling (dynamic tire load). The power consumption is simulated as a function of the passive damping in the active suspension system. Finally, measurements are performed on a quarter-car test setup to validate the analysis and simulations.Index Terms-Active suspension, permanent magnet actuator, quarter car .

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Section: Modeling and Control Designmentioning

confidence: 99%

Efficiency of a Regenerative Direct-Drive Electromagnetic Active Suspension

Gysen¹,

Sande²,

Paulides³

et al. 2011

IEEE Trans. Veh. Technol.

142

View full text Add to dashboard Cite

show abstract

“…Different design criteria are defined either in frequency or time domain for controllers and large variety are devised. The commonly approaches are proportional-integral-derivative (PID) [3][4][5][6], model-predictive control (MPC) [7,8], load dependent controller [9], fuzzy logic [10][11][12][13], neural network [10,14], H∞ [15][16][17], LQR [10,[18][19][20][21], Skyhook controller [10,22], preview controller [23,24] etc. More details about this methods can be found on [25].…”

Section: Introductionmentioning

confidence: 99%

Analysis and Simulation of Active Suspension System for Full Vehicle Model Subjected To Random Road Profile

Shirahatti¹

2015

IJIRSET

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ABSTRACT:The suspension system plays a major role in any automobile as far as the vehicle stability and ride comfort of the passengers are considered. In conventional or passive suspension systems performance parameters like ride comfort, road holding and suspension travel, are mutually contradicting while active suspension system has the potential to improve these factors. The present work aims to study a full vehicle model having passive and active suspension system subjected to random road profile as per ISO standards. The linear quadratic controller (LQR) is used for active suspension system. Using optimization procedure the actuator force, which minimizes the performance index is determined. Passenger ride comfort is directly related to the passenger seat acceleration and road holding relates to wheel displacement and suspension travel. The active suspension system performance is compared with passive suspension system subjected to random road profile. Results show passenger bounce and acceleration are reduced drastically in active suspension system indicating improvement in both road holding and comfort.

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“…These efforts were more in the modelling and simulation of the suspension components or entire vehicle. Although there are several works [15,16] to examine the experimental results of the vehicle suspensions, very few study the proving ground tests. This is particular true for the medium-duty trucks.…”

Section: Introductionmentioning

confidence: 99%

Virtual Testing and Experimental Verification of Medium-Duty Truck Driveability and Rideability

Liao¹,

Card²,

O’Malley³

2015

Vehicle Engineering

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This paper presents on-and off-road virtual testing of driveability and rideability on the Family of Medium Tactical Vehicle (FMTV) cargo trucks. Proving ground tests are also conducted to provide some experimental correlation and validation of the simulation results. The front suspension of the current baseline FMTV is a solid axle with leaf springs and shock absorbers. Two other types of suspension systems including passive and semi-active suspensions are evaluated in solid axle and fully independent configurations. The objective of this study is to evaluate the capability of virtual tests in vehicle performance. The comprehensive experiments also investigate the capabilities of various suspensions which have been considered in future FMTV design for mobility performance improvement.

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Ride comfort performance of different active suspension systems

Cited by 43 publications

References 0 publications

Efficiency of a Regenerative Direct-Drive Electromagnetic Active Suspension

Efficiency of a Regenerative Direct-Drive Electromagnetic Active Suspension

Analysis and Simulation of Active Suspension System for Full Vehicle Model Subjected To Random Road Profile

Virtual Testing and Experimental Verification of Medium-Duty Truck Driveability and Rideability

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