2021
DOI: 10.1177/09574565211000390
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Computation of passive suspension parameters for improvement of vehicle ride quality based on stochastic optimal controller with a look-ahead preview

Abstract: This article aims to determine the optimum parameters of a half-car model passive suspension vehicle passing on a random road. The optimum parameters are obtained based on the response of linear quadratic regulator control with a look-ahead preview for attaining the passive suspension performance nearly equivalent to the active suspension performance. The optimum parameters are estimated by equalizing mean square suspension controlling forces of passive and active vehicle models and subsequently minimizing the… Show more

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Cited by 2 publications
(4 citation statements)
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“…where x: state vector in n-dimensional space, x ∈ R n , f: vector of continuous functions, and d: uncertain component, d (x, u, t). A smooth surface is described by a vector of m smooth functions like (2). Tis sliding surface has a general form that depends on both the state vectors and time.…”
Section: Dynamics and Controlmentioning
confidence: 99%
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“…where x: state vector in n-dimensional space, x ∈ R n , f: vector of continuous functions, and d: uncertain component, d (x, u, t). A smooth surface is described by a vector of m smooth functions like (2). Tis sliding surface has a general form that depends on both the state vectors and time.…”
Section: Dynamics and Controlmentioning
confidence: 99%
“…where u M (t): signal that causes x (t) to move towards the sliding surface (2) and u eq (t): signal that helps to fx the position of x (t) on the sliding surface (2). According to (4), at time t � t 0 , the control signal u M (t) must bring the object x (t) towards the sliding surface (2). Ten, the control signal u eq (t) must generate (6) to fx the position of the object.…”
Section: Dynamics and Controlmentioning
confidence: 99%
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“…To determine the optimal parameters of a half-vehicle passive suspension driving on a random road, the linear quadratic regulator control with a look-ahead preview is used in Ref. [9].…”
Section: Introductionmentioning
confidence: 99%