Hardware-in-the-Loop Simulation for a Multiaxial Suspension Test Rig with a Nonlinear Spatial Vehicle Dynamics Model

Traphöner, Phillip; Olma, Simon; Kohlstedt, Andreas; Fast, Nikolai; Jäker, Karl-Peter; Trächtler, Ansgar

doi:10.1016/j.ifacol.2019.11.659

Cited by 2 publications

(1 citation statement)

References 9 publications

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“…These time-and cost-effective approaches are utilized for performance optimization and laboratory-level evaluation. HiL simulation systems have been designed and suggested for the development of active suspensions [25][26][27]. Several studies have been conducted to evaluate active chassis systems and their control methods using HiL simulation experiments [28][29][30][31].…”

Section: Introductionmentioning

confidence: 99%

Design and Implementation of Hardware-in-the-Loop Simulation Environment Using System Identification Method for Independent Rear Wheel Steering System

Moon

2023

Machines

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In the automotive field, with the advancement of electronic and signal processing technologies, active control-based chassis systems have been developed to enhance vehicle stability. In this study, a Hardware-in-the-Loop (HiL) simulation environment was developed to effectively improve time and cost during the development process of an independent rear-wheel steering system. The HiL Simulation Environment was developed—a specific test bench capable of simulating driving loads on the prototype. Based on the system identification method, a reaction force modeling technique for the target driving loads was proposed. The full vehicle dynamics simulation model was developed with a lateral maximum error of 4.5% and a correlation coefficient of 0.98, as well as a longitudinal maximum error of 0.1% and a correlation coefficient of 0.99. The reaction force generation system had a maximum error of 2.9%. Using the developed HiL simulation environment, performance verification and analysis of the independent rear-wheel steering system were conducted, showing reductions of 5.1% in lateral acceleration and 5.2% in yaw rate.

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Section: Introductionmentioning

confidence: 99%

Design and Implementation of Hardware-in-the-Loop Simulation Environment Using System Identification Method for Independent Rear Wheel Steering System

Moon

2023

Machines

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Hardware-in-the-loop modeling applied to FESTO hydraulic learning system

Kulakov

2020

IOP Conf. Ser.: Mater. Sci. Eng.

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The issue of Hardware-in-the-loop modeling in Matlab/Simulink using a physical model of an electrohydraulic servo drive implemented on FESTO learning system is considered. As an example, the synthesis of state components feedback coefficients for the electrohydraulic servo drive control is discussed. The paper provides the block-diagrams for connecting FESTO physical model to Matlab software and algorithms that allow using Matlab for automatic optimization of the controller parameters directly during the operation of the electrohydraulic servo drive physical model. Thus, already at the stage of optimizing the parameters of the controller, its operation as part of a real hydraulic system is studied.

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Hardware-in-the-Loop Simulation for a Multiaxial Suspension Test Rig with a Nonlinear Spatial Vehicle Dynamics Model

Cited by 2 publications

References 9 publications

Design and Implementation of Hardware-in-the-Loop Simulation Environment Using System Identification Method for Independent Rear Wheel Steering System

Design and Implementation of Hardware-in-the-Loop Simulation Environment Using System Identification Method for Independent Rear Wheel Steering System

Hardware-in-the-loop modeling applied to FESTO hydraulic learning system

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