Optimization of Positioning Parameters for McPherson Front Suspension Based on ADAMS/Car

Zhang, Jingjun; Jia, Xiaojuan; Zhao, Ziyue; Gao, Ruizhen

doi:10.1109/csma.2015.66

Cited by 3 publications

(3 citation statements)

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“…Sensitivity factors are the derivative value of objective function to design variables. 22–24 The more the sensitive factors, the corresponding design variable influences more on the objective function. In the system, y is the output which reflects dynamic performance of mechanical system and vector x is the input which represents the system parameters.…”

Section: Kinematic Analysis Of Suspension Systemmentioning

confidence: 99%

Design optimization of minivan MacPherson-strut suspension system based on weighting combination method and neighborhood cultivation genetic algorithm

Hua

et al. 2018

Proceedings of the Institution of Mechanical Engineers, Part D:

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In this paper, the kinematic characteristic analysis and optimization design of a minivan MacPherson-strut suspension system are performed. Design requirements of a minivan suspension system are described first, and then the design process is presented. A typical MacPherson suspension model of the minivan is conducted. Through the established model, the simulation of parallel wheel travel of the suspension system of the minivan is carried out and analyzed. After initial analysis, wheel alignment parameters especially the toe angle and camber angles need to be optimized to meet the requirements of the desired design value. The characteristic curves of wheel alignment parameters are drawn and the corresponding non-ideal characteristics are found. The optimization objective is to reduce the variation of the unreasonable alignment parameters, and the design variables are given through the sensitivity analysis. The design parameters are reasonably grouped according to different kinematic characteristics, thus, a unified objective function is established by direct weighing combination method. Finally, the established objective function is optimized and designed with neighborhood cultivation genetic algorithm. By comparing the original and optimized results, the better wheel alignment parameters are obtained and the system performances of suspension are further improved.

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Section: Kinematic Analysis Of Suspension Systemmentioning

confidence: 99%

Design optimization of minivan MacPherson-strut suspension system based on weighting combination method and neighborhood cultivation genetic algorithm

Hua

et al. 2018

Proceedings of the Institution of Mechanical Engineers, Part D:

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“…Sancibrian et al 16 conducted a synthetic kinematic optimization for double wishbone suspensions based on gradient determination. Zhang et al 17 reduced the variations of caster angle and toe-in angle of a Macpherson suspension through sensitivity analysis in ADAMS/Insight. Shi and Zhang 18 proposed an improved Support Vector Machine (SVM) algorithm to diagnosis the faults of vehicle steering systems.…”

Section: Introductionmentioning

confidence: 99%

Geometry optimization of a planar double wishbone suspension based on whole-range nonlinear dynamic model

Niu

Jin

Wang

et al. 2021

Proceedings of the Institution of Mechanical Engineers, Part D:

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Dynamic analysis is an essential task in the geometry design of suspension systems. Whereas the dynamic simulation based on numerical software like Adams is quite slowly and the existing analytical models of the nonlinear suspension geometry are mostly based on small displacement hypothesis, this paper aims to propose a whole-range dynamic model with high computational efficiency for planar double wishbone suspensions and further achieve the fast optimal design of suspension geometry. Selection of the new generalized coordinate and explicit solutions of the basic four-bar mechanism dramatically reduce the complexity of suspension geometry representation and provide analytical solutions for all of the time varying dimensions. By this means, the running speed and computational accuracy of the new model are guaranteed simultaneously. Furthermore, an original Matlab/Simulink implementation is given to maintain the geometric nonlinearity in the solving process of dynamic differential equations. After verifying its accuracy with an ADAMS prototype, the presented whole-range model is used in the vast-parameter optimization of suspension geometry. Since both kinematic and dynamic performances are evaluated in the objective function, the optimization is qualified to give a comprehensive suggestion to the design of suspension geometry.

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“…El diseño de un sistema de suspensión incluye la elección adecuada de las dimensiones de cada componente del sistema (Zhang et al, 2015) y las propiedades de los elementos de la suspensión (constante de rigidez del resorte y de amortiguamiento en el amortiguador), ya que, una elección adecuada garantiza la eficiencia del sistema (Goga & Kl'úcik, 2012). Así, algunos investigadores han planteado sistemas de control para la suspensión activa que optimizan la magnitud de estas constantes para mejorar el confort y la estabilidad (Deremetz et al, 2017).…”

Section: Introductionunclassified

Efecto de la suspensión en la estabilidad al vuelco y direccionamiento de robots moviéndose sobre discontinuidades de terreno

García

Valero

Bohórquez

2020

Rev. iberoam. autom. inform. ind.

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En este artículo se estudia el efecto que produce el sistema de suspensión sobre la estabilidad al vuelco y la capacidad de direccionamiento en un robot móvil Skid Steer, cuando este se enfrenta a distintas discontinuidades del terreno: descenso (frontal y lateral) y ascenso sobre escalones, además del desplazamiento sobre zanjas. Específicamente, se estudió el instante cuando se generan cargas de impacto producto del movimiento del robot sobre la irregularidad del terreno. En cada caso se hizo un análisis correlacional del efecto sobre la estabilidad al vuelco y el direccionamiento (cuantificadas con métricas fundamentadas en las fuerzas de reacción de las ruedas con el suelo), al variar cuatro parámetros que definen el sistema de suspensión: constante de rigidez en los resortes, constante de amortiguamiento en los amortiguadores y las constantes de rigidez y amortiguamiento en las ruedas. Por último se estimó para cada caso, qué magnitudes deberían adquirir estos parámetros para garantizar una mejor estabilidad y direccionamiento del robot.

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Optimization of Positioning Parameters for McPherson Front Suspension Based on ADAMS/Car

Cited by 3 publications

References 0 publications

Design optimization of minivan MacPherson-strut suspension system based on weighting combination method and neighborhood cultivation genetic algorithm

Design optimization of minivan MacPherson-strut suspension system based on weighting combination method and neighborhood cultivation genetic algorithm

Geometry optimization of a planar double wishbone suspension based on whole-range nonlinear dynamic model

Efecto de la suspensión en la estabilidad al vuelco y direccionamiento de robots moviéndose sobre discontinuidades de terreno

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