NDLI: MBS Approach to Generate Equations of Motions for HiL-Simulations in Vehicle Dynamics

Content Provider	Springer Nature Link
Author	Rulka, Wolfgang Pankiewicz, Eli
Copyright Year	2005
Abstract	Numerical simulation of system dynamics is today a standard in the design of cars and trucks. The multibody system (MBS) analysis is applied to suspension kinematics and compliant kinematics, handling performance and ride comfort as well as to the generation of load data for lifetime prediction. These simulation tasks are carried out as an off-line simulation. Over the last couple of years the MBS method has been established in the real-time simulation domain, typically for the design of vehicle control systems and the test of electronic control units, using Hardware-in-the-Loop (HiL) simulation. This paper shows how the transition from offline multi-body-system (MBS) models to real-time simulation can be achieved automatically by using a component oriented reduction procedure for vehicle suspensions, which keeps the full component parameterization. This necessitates a transformation of the equations of motion from differential algebraic equations (DAE) into ordinary differential equations (ODE). For use in HiL-simulators the equations of motion with open interfaces of the applied forces and torques are provided to be integrated in a modular dynamic ride model.
Starting Page	367
Ending Page	386
Page Count	20
File Format	PDF
ISSN	13845640
Journal	Multibody System Dynamics
Volume Number	14
Issue Number	3-4
e-ISSN	1573272X
Language	English
Publisher	Kluwer Academic Publishers
Publisher Date	2005-01-01
Publisher Place	Dordrecht
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	hardware-in-the-loop real-time non-linear reduction suspension kinematics handling simulation Optimization Vibration, Dynamical Systems, Control Mechanical Engineering Automotive and Aerospace Engineering, Traffic Electronic and Computer 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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