2006
DOI: 10.1007/s10010-006-0025-5
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A method of vehicle active suspension design

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Cited by 11 publications
(17 citation statements)
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“…To control the developed problem they proposed Takagi-Sugeno (T-S) fuzzy approach to describe the original nonlinear system using a nonlinearity sector. A spatial vehicle model is designed by Demić et al (2006) which worked without filtered feedback of the control system to improve active suspension system. One significant aspect of their research was using stochastic parameters optimization of active suspension system.…”
Section: Active Semi Active and Passive Suspension Systemsmentioning
confidence: 99%
“…To control the developed problem they proposed Takagi-Sugeno (T-S) fuzzy approach to describe the original nonlinear system using a nonlinearity sector. A spatial vehicle model is designed by Demić et al (2006) which worked without filtered feedback of the control system to improve active suspension system. One significant aspect of their research was using stochastic parameters optimization of active suspension system.…”
Section: Active Semi Active and Passive Suspension Systemsmentioning
confidence: 99%
“…Motor vehicles have complex dynamic characteristics, which are displayed by the appearance of spatial movements, variation of characteristics during operation, a number of disturbing influences, the appearance of clearances, friction, hysteresis, etc. [1,2,[13][14][15][16][17][18][19][20][21]. The above mentioned dynamic phenomena, especially vibrations, lead to the fatigue of passengers and driver, reduce service life of the vehicle and its systems, etc.…”
Section: Vehicle Model With Semi-active Suspension Systemmentioning
confidence: 99%
“…In practice, there are two kinds of systems with controlled characteristics [17,21,[25][26][27][28][29][30][31][32][33][34]:…”
Section: Vehicle Model With Semi-active Suspension Systemmentioning
confidence: 99%
“…For simulation of the differential equations of motion given by Eqs. (15), (18) and (19), the used terrain vehicle's suspension parameters are used, as shown in Table 1, Pajaziti [10] and Lajqi [24]. A block-scheme for the proposed procedure is shown in Fig.…”
Section: Optimization Of Parameters For the Active Damping Forcementioning
confidence: 99%
“…The focus of this paper is a mathematical model of the active damping force and its optimization. The optimization process for design parameters is done by non-linear programming using the stochastic parametric optimization method, Pajaziti [10] and Demic et al [15]. Optimal design parameters are obtained when the objective function reaches minimal values.…”
Section: Introductionmentioning
confidence: 99%