Comparative Optimization Study on Vehicle Suspension Parameters for Rider Comfort Based on RSM and GA
| Autor: | M. Sita Ram, P. Vigneshwar, D. Raja Sekhar, Y. Sai Harish, M. B. S. Sreekar Reddy |
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| Rok vydání: | 2017 |
| Předmět: |
021110 strategic
defence & security studies Engineering business.industry 0211 other engineering and technologies Control variable Stiffness 020206 networking & telecommunications Control engineering 02 engineering and technology Vibration Control theory Genetic algorithm 0202 electrical engineering electronic engineering information engineering medicine Sprung mass Response surface methodology medicine.symptom Suspension (vehicle) MATLAB business computer computer.programming_language |
| Zdroj: | Materials Today: Proceedings. 4:1794-1803 |
| ISSN: | 2214-7853 |
| DOI: | 10.1016/j.matpr.2017.02.022 |
| Popis: | This paper present on optimal vehicle seat suspension design for a quarter car model to reduce vibrations. With the aid of MATLAB/Simulink a simulation model is achieved for further process into Response Surface Methodology and Genetic Algorithm. For the Response surface methodology, an experimental design was chosen in order to obtain the proper modelling equation. Later this modeled equation was served as objective function for further process into genetic algorithm to choose the best values of three control variables Parallelly numerical optimization through Response surface methodology was done to compare the results of both optimization techniques i.e. through Genetic algorithm and Response surface methodology. The results indicated that both techniques are capable of locating good conditions to evaluate optimal setting of sprung mass, spring stiffness and damping co-efficient. |
| Databáze: | OpenAIRE |
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