Hybrid fuzzy-neural network structure for vehicle seat vibration isolation

Tanovic, Omer; Huseinbegović, Senad

doi:10.1109/icca.2009.5410379

Cited by 7 publications

(4 citation statements)

References 14 publications

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“…Obtener comodidad, estabilidad y seguridad como es el caso de:  El sistema de suspensión de: un vehículo de transporte lunar de 6 ruedas [29]; un vehículo ligero [30]; un camión [31]; un tren de alta velocidad [32]; o una maquinaria agrícola [33].  El asiento del conductor de un vehículo [34].  Un manipulador montado sobre una plataforma móvil [35].…”

Section: Aplicaciones De La Suspensión Activa-semiactivaunclassified

Modelado Físico y Matemático del Sistema de Suspensión de un Cuarto de Vehículo

Hurel¹,

Teran²,

Nicolalde³

et al. 2017

Proceedings of the 15th LACCEI International Multi-Conference for Engineering, Education, and Technology: “Global Partnership F

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Resumen-El propósito de este artículo es generar los modelos matemático y físico del sistema de suspensión de un cuarto de vehículo. Se realiza una clasificación de los diferentes tipos de sistemas de suspensión: pasiva, activa y semiactiva. Se presentan los diferentes aportes de la comunidad científica a las aplicaciones de los sistemas activos y semiactivos de suspensión. Se incluye una revisión de los trabajos realizados en la simulación de los sistemas de dinámica vehicular, principalmente en lo que se refiere a los sistemas suspensión. Se desarrollan los modelos matemático y físico del sistema de suspensión de un cuarto de vehículo usando los programas Simulink y SimMechanics, respectivamente, y se comparan sus respuestas. Palabras clave-Simulación. Suspensión activa. Modelos. Suspensión pasiva. Robótica.

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Section: Aplicaciones De La Suspensión Activa-semiactivaunclassified

Modelado Físico y Matemático del Sistema de Suspensión de un Cuarto de Vehículo

Hurel¹,

Teran²,

Nicolalde³

et al. 2017

Proceedings of the 15th LACCEI International Multi-Conference for Engineering, Education, and Technology: “Global Partnership F

View full text Add to dashboard Cite

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“…The nonlinear characteristics of MRF damper has been described by many mathematical models, such as Bingham model and nonlinear hysteretic bi-viscous model, etc [6]. One of the most popular mathematical models is the Bouc-Wen model [7], deduced by Bouc in 1967 and later modified by Wen in 1976 (shown in Fig. 2).…”

Section: Mathematical Modeling Of Mrf Dampermentioning

confidence: 99%

Integrated Control of Suspension and Steering Systems Based on Vehicle Handling and Performance

Liu

Shi

Fang

et al. 2012

AMR

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In this paper, the features of electrical power steering (EPS) and semi-active suspension (SAS) systems have been carefully researched, and an integrated control strategy based on neural network theory was proposed to achieve the integrated control of EPS and SAS systems. In order to achieve the simulation of the integrated control strategy, a neural network controller of EPS and SAS systems was designed under MATLAB environment, and a passenger car virtual prototyping model including the EPS and SAS systems was established in vehicle dynamics simulation software SIMPACK. By ride comfort and handing stability simulation, the integrated control strategy was proved to be effective. The primary goal of this paper is to propose an effective and reliable integrated control strategy of EPS and SAS systems, and improve the ride comfort as well as handing stability of automobile.

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“…Recently, most researchers concentrated on the experimental vibration control of a rigid mass, without considering the dynamic response of human body (Phu et al, 2015;Tanovic and Huseinbegovic, 2009). In the previous literature, it is clearly illustrated that the characteristics of transmitted vibrations are strongly influenced by the seated human body (Griffin, 1981;Suggs et al, 1969).…”

Section: Introductionmentioning

confidence: 99%

H_∞ control for a semi-active scissors linkage seat suspension with magnetorheological damper

et al. 2018

Journal of Intelligent Material Systems and Structures

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In this article, a robust state-feedback H∞ control for semi-active scissors linkage seat suspension with magnetorheological damper is investigated to reduce low-frequency and high-amplitude vibration, leading to health disorders in drivers or passengers. First, the stiffness and damping characteristics of the semi-active scissors linkage seat suspension are analyzed and a simplified model of the semi-active scissors linkage seat suspension is introduced. Then, the forward and inverse models of magnetorheological damper are described by the neural network method. Furthermore, the robust state-feedback H∞ control is established by considering the system uncertainties. The proposed approach is finally validated by experiment on a test rig under different sinusoidal excitations and load masses. Experimental results show that the human vibration is reduced up to 47.66% compared with the uncontrolled system.

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Hybrid fuzzy-neural network structure for vehicle seat vibration isolation

Cited by 7 publications

References 14 publications

Modelado Físico y Matemático del Sistema de Suspensión de un Cuarto de Vehículo

Modelado Físico y Matemático del Sistema de Suspensión de un Cuarto de Vehículo

Integrated Control of Suspension and Steering Systems Based on Vehicle Handling and Performance

H_∞ control for a semi-active scissors linkage seat suspension with magnetorheological damper

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Hybrid fuzzy-neural network structure for vehicle seat vibration isolation

Cited by 7 publications

References 14 publications

Modelado Físico y Matemático del Sistema de Suspensión de un Cuarto de Vehículo

Modelado Físico y Matemático del Sistema de Suspensión de un Cuarto de Vehículo

Integrated Control of Suspension and Steering Systems Based on Vehicle Handling and Performance

H∞ control for a semi-active scissors linkage seat suspension with magnetorheological damper

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Product

Resources

About

H_∞ control for a semi-active scissors linkage seat suspension with magnetorheological damper