Optimal design of passenger car suspension for ride and road holding

Shirahatti, Anil; Prasad, P.S.S.; Panzade, Pravin; Kulkarni, Mukund G.

doi:10.1590/s1678-58782008000100010

Cited by 103 publications

(92 citation statements)

References 14 publications

(12 reference statements)

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…If P is relatively larger than Q, the state will be heavily penalized and to reduce the state the control efforts rises resulting in a damped system. The weights on control channels (Q) and states (P) are assumed [29]. Different approaches are available to solve the LQR problem, which will minimize the LQR cost function.…”

Section: Active Suspensionmentioning

confidence: 99%

“…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%

“…The control forces at the front and rear ends are included in the performance index to represent indirectly the vertical, pitch and roll motion. Figure 1 shows full vehicle model with 8 DOFs considered for analysis [25]. The equations of motion for complete model are as follows.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

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

Shirahatti¹

2015

IJIRSET

View full text Add to dashboard Cite

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.

show abstract

Section: Active Suspensionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

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

Shirahatti¹

2015

IJIRSET

View full text Add to dashboard Cite

show abstract

“…Anil Shirahatti et al used Genetic algorithm to design a suspension system in order to minimize maximum seat and sprung mass bouncing acceleration, root mean square (RMS) acceleration of sprung mass and seat confining to the ISO2631 standards as well as minimizing suspension travel, tire deflection, road holding and jerk. Based on the results, it was concluded that the optimized suspension system had an improved ride comfort and road holding [18]. R Alkhatib, G Nakhaie Jazar, M.F Golnaraghi implemented genetic algorithm to optimize a 1 DOF vibration isolator.…”

Section: Introductionmentioning

confidence: 99%

Optimization of Vehicle Suspension System to Improve Comfort

Fernandes¹

2017

IOSR JMCE

View full text Add to dashboard Cite

“…Angle deviation tolerance as a function of distance [7] mass approach [10][11][12][13][14]. Parameter values of the dynamic model are determined based on mechanical characteristics [15][16][17][18].…”

Section: Introductionmentioning

confidence: 99%

Design of Vibration Absorber using Spring and Rubber for Armored Vehicle 5.56 mm Caliber Rifle

Nugraha¹,

Budiwantoro

Rijanto³

2014

J. Mechatron. Electr. Power Veh. Technol.

View full text Add to dashboard Cite

This paper presents a design of vibration absorber using spring and rubber for armored vehicle 5.56 mm caliber rifle. Such a rifle is used in a Remote-Controlled Weapon System (RCWS) or a turret where it is fixed using a two degree of freedom pan-tilt mechanism. A half car lumped mass dynamic model of armored vehicles was derived. Numerical simulation was conducted using fourth order Runge Kutta method. Various types of vibration absorbers using spring and rubber with different configurations are installed in the elevation element. Vibration effects on horizontal direction, vertical direction and angular deviation of the elevation element was investigated. Three modes of fire were applied i.e. single fire, semi-automatic fire and automatic fire. From simulation results, it was concluded that the parallel configuration of damping rubber type 3, which has stiffness of 980,356.04 (N/m 2 ) and damping coefficient of 107.37 (N.s/m), and Carbon steel spring whose stiffness coefficient is 5.547 x 10 6 (N/m 2 ) provides the best vibration absorption.

show abstract

Optimal design of passenger car suspension for ride and road holding

Cited by 103 publications

References 14 publications

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

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

Optimization of Vehicle Suspension System to Improve Comfort

Design of Vibration Absorber using Spring and Rubber for Armored Vehicle 5.56 mm Caliber Rifle

Contact Info

Product

Resources

About