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Erschienen in:
2015 | OriginalPaper | Buchkapitel
A LabVIEW-Based Data Acquisition System in a Quarter Car Test Rig to Optimize Vehicle Suspension System
verfasst von : Anirban C. Mitra, Nilotpal Banerjee
Erschienen in: Intelligent Computing and Applications
Verlag: Springer India
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Abstract
Suspension design is always been a challenging task for automobile designers in view of multiple input parameters, complex objectives, and disturbances which are stochastic in nature. The conflicting nature of ride comfort (RC) and road holding (RH) compels a judicial compromise between these two. In the present work, full factorial design of experiment (DoE) has been used successfully for the purpose of multi-objective optimization of RC and RH with input variables spring stiffness (K), damping coefficient (C), sprung mass (M), and speed. For experiments with combination of various input variables, a quarter car test rig is developed with proper data acquisition system by NI-hardware and Laboratory Virtual Instrumentation Engineering Workbench (LabVIEW) to collect real-time data. A regression model of RC and RH with R
2 value 95.98 and 95.78 %, respectively, can be effectively used to evaluate optimal settings of various input parameters using response optimization with a high desirability value.