NDLI: Robust Pareto active suspension design for vehicle vibration model with probabilistic uncertain parameters

Content Provider	Springer Nature Link
Author	Jamali, A. Salehpour, M. Nariman zadeh, N.
Copyright Year	2012
Abstract	Using the robust design of a vehicle vibration model considering uncertainties can elaborately show the effects of those unsure values on the performance of such a model.In this paper, probabilistic metrics, instead of deterministic metrics, are used for a robust Pareto multi-objective optimum design of five-degree of freedom vehicle vibration model having parameters with probabilistic uncertainties. In order to achieve an optimum robust design against probabilistic uncertainties existing in reality, a multi-objective uniform-diversity genetic algorithm (MUGA) in conjunction with Monte Carlo simulation is used for Pareto optimum robust design of a vehicle vibration model with ten conflicting objective functions. The robustness of the design obtained using such a probabilistic approach is shown and compared with that of the design obtained using deterministic approach.
Starting Page	265
Ending Page	285
Page Count	21
File Format	PDF
ISSN	13845640
Journal	Multibody System Dynamics
Volume Number	30
Issue Number	3
e-ISSN	1573272X
Language	English
Publisher	Springer Netherlands
Publisher Date	2012-12-06
Publisher Place	Dordrecht
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Vehicle vibration model Robust design Uncertainty Pareto front Monte Carlo simulation Vibration, Dynamical Systems, Control Optimization Electrical Engineering Mechanical Engineering Automotive Engineering
Content Type	Text
Resource Type	Article
Subject	Control and Optimization Mechanical Engineering Aerospace Engineering Modeling and Simulation Computer Science Applications

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