Sensitivity Study of a Nonlinear Semi-Active Suspension System

Abstract

In this paper the OAT (one-at-a-time) sensitivity analysis of a nonlinear semi-active suspension system is carried out with numerical simulation. A specific property of the system is chosen for measure sensitivity, which can be calculated with numerical simulations easily. Both the sensitivity of the system and the input parameters were examined. The degree of sensitivity was measured with a sensitivity index and based on it sensitivity Fuzzy-sets were established. A simple method to reduce sensitivity of a certain parameter is also proposed.

Testing output variables for sensitivity study of nonlinear vibration systems

“…For effective study it is also important to select the proper variable or property to measure sensitivity. In this paper different output variables of nonlinear vibration systems are tested with a Fuzzy-set based OaT sensitivity study method developed in [23]. The aim of the research is to develop a widely and easily useable numerical examination method of nonlinear systems with special focus on mechanical and mechatronics applications and to make the designdevelopment process more efficient.…”

“…The detailed sensitivity study of a semi-active suspension system using the RMS of acceleration can be found in [23]. The parameters of the current study are based on that model, only the excitation signal was different.…”

“…In [23] only the highest value of SI was examined and it determined the degree of sensitivity. In this study the method was extended with the membership to Fuzzy-sets (can be calculated using Eq.…”

“…This is a parameter, which cannot be controlled, so particular attention should be paid to it. In [23] it was shown that the sensitivity of this parameter can be reduced by changing the value of the damping coefficient. The spring stiffness and the mass are moderately sensitive parameters; their membership value in Fuzzy-set 2 is the highest.…”

One-at-a-time sensitivity study of a nonlinear fire truck suspension model

“…Previously the One-at-a-Time (OAT) parameter sensitivity study of a Duffing-type semi-active suspension system was carried out [17], where it was observed that the damping coefficient is the most sensitive parameter. A simple output parameter was chosen and based on it sensitivity Fuzzy sets were established to reflect the degree of sensitivity.…”