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Structural Engineering and Mechanics Volume 68, Number 5, December10 2018 , pages 633-638 DOI: https://doi.org/10.12989/sem.2018.68.5.633 |
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Multi-objective optimization of double wishbone suspension of a kinestatic vehicle model for handling and stability improvement |
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Mohammad Reza Bagheri, Masoud Mosayebi, Asghar Mahdian and Ahmad Keshavarzi
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| Abstract | ||
| One of the important problems in the vehicle design is vehicle handling and stability. Effective parameters which should be considered in the vehicle handling and stability are roll angle, camber angle and scrub radius. In this paper, a planar vehicle model is considered that two right and left suspensions are double wishbone suspension system. For a better analysis of the suspension geometry, a kinestatic model of vehicle is considered which instantaneous kinematic and statics relations are analyzed simultaneously. In this model, suspension geometry is considered completely. In order to optimum design of double wishbones suspension system, a multi-objective genetic algorithm is applied. Three important parameters of suspension including roll angle, camber angle and scrub radius are taken into account as objective functions. Coordinates of suspension hard points are design variables of optimization which optimum values of them, corresponding to each optimum point, are obtained in the optimization process. Pareto solutions for three objective functions are derived. There are important optimum points in these Pareto solutions which each point represents an optimum status in the model. In other words, corresponding to any optimal point, a specific geometric position is determined for the suspension hard points. Each of the obtained points in the Pareto optimization can be selected for a special design purpose by designer to create an optimum condition in the vehicle handling and stability. | ||
| Key Words | ||
| multi-objective optimization; double wishbone suspension; kinestatic analysis; vehicle handling and stability | ||
| Address | ||
| Mohammad Reza Bagheri, Masoud Mosayebi and Asghar Mahdian: Department of Mechanical Engineering, Malek-Ashtar University of Technology, Isfahan, Iran Ahmad Keshavarzi: Department of Mechanical Engineering, Khomeinishahr Branch, Islamic Azad University, Isfahan, Iran | ||