نتایج جستجو برای: active geometry suspension system

تعداد نتایج: 2728005  

Journal: :An International Journal of Optimization and Control: Theories & Applications (IJOCTA) 2018

2016
KATERINA HYNIOVA

Between 2010 and 2014, the research team of Josef Bozek ́s Research Center of Combustion Engines and Automobiles at the Czech Technical University in Prague, Czech Republic, has developed innovations in vehicle suspension technology. The research team has designed a unique innovative suspension system that uses a linear electric motor as a controlled actuator. We have undertaken many experiments...

2007
J. Wang A. C. Zolotas D. A. Wilson

This paper studies order reduction issues for a vehicle active suspension system throughout its modelling, H-infinity controller design and controller refinement. Computer simulations demonstrate that an H-infinity controller for a full active suspension can be significantly reduced to nearly one third of its full order, while the active suspension performance is only slightly degraded. As a by...

Journal: :CoRR 2017
Mohamed A. Hassan Ali M. Abd-El-Tawwab k. A. Abd El-gwwad M. M. M. Salem

This paper is primarily studying the behaver of the twin-accumulator suspension over the conventional passive system focusing on ride quality behavior and road holding. Therefore, a dynamic modeling of passive and twin-accumulator suspension for a quarter model is constructed. MATLAB Simulink environment is used to develop the suspension models. The simulation is applied with two different road...

2003
Hosam K. Fathy Panos Y. Papalambros A. Galip Ulsoy Davor Hrovat

1. Graduate student; 2Professor, Dept. of Mech. Eng., The University of Michigan, Ann Arbor, MI 48109-2125. 3. Principal Research Engineer, Ford Research Laboratory, Ford Motor Company, Dearborn, MI 48121. Abstract This paper addresses the coupling between the plant and control optimization problems for a suspension comprising both passive and active components. Suspension dynamics are modeled ...

2011
Jeen Lin Ruey-Jing Lian

This study developed a hybrid self-organizing fuzzy and radial basis-function neural-network controller (HSFRBNC) for active suspension systems. The HSFRBNC uses a radial basis function neural-network to adjust the learning rate and the weighting distribution of a self-organizing fuzzy controller (SOFC) in real time, as an alternative to obtain these parameters through trial and error. Therefor...

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