Multi-objective Suspension Optimization of a ۵-DOF Vehicle Vibration Model Excited by Random Road Profile
Publish place: International Journal of Advanced Design and Manufacturing Technology، Vol: 7، Issue: 1
Publish Year: 1393
نوع سند: مقاله ژورنالی
زبان: English
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شناسه ملی سند علمی:
JR_ADMTL-7-1_001
تاریخ نمایه سازی: 18 اردیبهشت 1400
Abstract:
The vehicle driving comfort has become one of the important factors of vehicle quality and receives increasing attention. In this paper, optimal points of vehicle suspension parameters are generated using modified non-dominated sorting genetic algorithm (NSGA-II) for Pareto optimization of ۵-degree of freedom vehicle vibration model considering three conflicting functions simultaneously. In this way random profile is considered for the road excitation. Objective functions are vertical acceleration of seat, relative displacement between sprung mass and forward tire and relative displacement between sprung mass and rear tire. Results are compared with the previous works. Such comparison shows good behaviour of the optimum design points proposed in this work.
Authors
Mohammad Hasan Shojaeefard
School of Automotive Engineering, Iran University of Science and Techonology
Abolfazl Khalkhali
School of Automotive Engineering, Iran University of Science and Techonology