Response of a quarter car model with optimal magnetorheological damper parameters

Prabakar, R.S.; Sujatha, C.; Narayanan, S.

doi:10.1016/j.jsv.2012.08.021

Cited by 51 publications

(29 citation statements)

References 22 publications

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“…A study about semi-active, nonlinear and robust control related to 1D, half car and full car models was presented by Horvat [16]. A 2 DoF linear quarter car suspension system is modelled by various researchers [4,6,7,8,9,11,12,14]. The suspension system is modelled as lumped masses and linear springs and dampers.…”

Section: Macpherson Strut Quarter Car Modelmentioning

confidence: 99%

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Multi-objective optimization of LQR control quarter car suspension system using genetic algorithm

Nagarkar¹,

Patil²

2016

FME Transaction

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In this paper, genetic algorithm (GA) based multi-objective optimization technique is presented to search optimum weighting matrix parameters of linear quadratic regulator (LQR). Macpherson strut suspension system is implemented for study. GA is implemented to minimize vibration dose values (VDV), RMS sprung mass acceleration, sprung mass displacement and suspension working space. Constraints are put on RMS sprung mass acceleration, maximum sprung mass acceleration, tyre deflection, unsprung mass displacement and RMS control force. Passive suspension system and LQR control active suspension system are simulated in time domain. Results are compared using class E road and vehicle speed 80 kmph. For step response, GA based LQR control system is having minimum oscillations with good ride comfort. VDV is reduced by 16.54%, 40.79% and 67.34% for Case I, II and III respectively. Same trend is observed for RMS sprung mass acceleration. Pareto-front gives more flexibility to choose optimum solution as per designer's need.

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Section: Macpherson Strut Quarter Car Modelmentioning

confidence: 99%

“…Prabhakar et al [11] presented a multi-objective control of semi-active suspension system with Magnetorheological (MR) damper. A quarter car is modelled for control application traversing over a stationary random road.…”

Section: Introductionmentioning

confidence: 99%

Multi-objective optimization of LQR control quarter car suspension system using genetic algorithm

Nagarkar¹,

Patil²

2016

FME Transaction

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“…E. Skudrzyk [15] considered vibration isolation of a structure consisting of masses and rods connected in series. Lamellar mechanical systems with point supports and lumped masses are also dedicated to the work [16]- [24].…”

Section: Introductionmentioning

confidence: 99%

Dynamics of Structurally Inhomogeneous Lamellar and Shell Mechanical Systems. Part 1

Mirsaidovich¹,

Ibrokhimovich²,

Khudoyberdievich³

2019

JAMP

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A vibrational statement, method and algorithm to assess the damping capacity of structurally inhomogeneous viscoelastic mechanical systems, consisting of a package of rectangular plates and shells with point relations and concentrated masses at different rheological properties of deformable elements, are proposed in the paper. To describe rheological properties of the material, the linear hereditary Boltzmann-Volter theory was used. To assess the damping capacity of the system, the problem in question in each case was reduced to solving the proper problems of algebraic equations with complex parameters solved by the Muller method. The accuracy of the methods was demonstrated by comparing the calculated results with known published data and a numerical experiment. Complex natural frequency of the system was used to assess the damping capacity of inhomogeneous viscoelastic systems. Various eigenvalue problems have been solved for structurally inhomogeneous mechanical systems consisting of a package of plate and shell systems with concentrated masses and shock absorbers. A number of new mechanical effects have been discovered, related to the manifestation of the damping capacity of mechanical systems under consideration.

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“…Active suspension, which requires a large energy supply, has been studied extensively [2][3][4][5][6] because it can improve the performance over a wide frequency range and meet more demanding specifications. Semi-active suspension draws much attention in recent years [7][8][9][10][11][12][13] as it can achieve desirable performances while a relatively small amount of energy is required. Magnetorheological (MR) and electrorheological (ER) dampers are commonly adopted to adjust the damping coefficients.…”

Section: Introductionmentioning

confidence: 99%

Control of vehicle suspension using an adaptive inerter

Lam

Cheung

2015

Proceedings of the Institution of Mechanical Engineers, Part D:

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In this paper, we study the suspension performances with an adaptive inerter under the assumption that the inertance may be adjusted in real-time. A quarter-car model with an inerter installed in parallel with a spring and a damper is considered. First, for a given suspension system, a study of the effects of using a fixed inerter is provided. It shows the difficulty in choosing a fixed inerter to satisfy the vehicle performances at the sprung mass natural frequency without deteriorating significantly at the unsprung mass natural frequency. Then, a state-feedback H 2 controller for an active suspension system is designed. The active force is approximated by an inerter with adjustable inertance. Ride quality, suspension deflection and tyre deflection performances are considered independently as the prime objective. Simulation results show that comparing with the passive suspension with fixed inerter, for ride quality and tyre deflection, the suspension with adaptive inerter can achieve improvement at the sprung mass natural frequency at the expense of a relatively small deterioration at the unsprung mass natural frequency. For suspension deflection, a better performance can be achieved at high frequencies with almost no loss of performance at other frequencies. This method is easier to implement in practice than the optimized passive suspension with a fixed inerter, which calls for complicated layout.

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Response of a quarter car model with optimal magnetorheological damper parameters

Cited by 51 publications

References 22 publications

Multi-objective optimization of LQR control quarter car suspension system using genetic algorithm

Multi-objective optimization of LQR control quarter car suspension system using genetic algorithm

Dynamics of Structurally Inhomogeneous Lamellar and Shell Mechanical Systems. Part 1

Control of vehicle suspension using an adaptive inerter

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