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Robust Multi-Objective Optimal Design of a Racing Car Suspension System
Proceedings of International Conference on Engineering, Science and Technology 2021
Muhammad Ali Khan, Yousef Sardahi, Carlos Ignacio Hernández Castellanos
Dr. Mack Shelley, Dr. Valarie Akerson
978-1-952092-24-4
12-25
This paper presents a robust multi-objective optimal design of a racing car suspension system. Three design objectives are considered: passenger’s head acceleration, suspension deflection, and tire deflection. The first objective concerns with the passenger’s health and comfort. The second and third design objectives characterize the suspension stroke and tire’s grip. To quantify the design objectives, the vertical dynamics of a quarter-car model employing an inerter is considered. The coefficients of the sprung spring and damping, tire stiffness, and inertance of the inerter are chosen as decision variables. Suspension systems’ parametric variations are very common and cannot be avoided. To this end, a robust multi-objective optimization method that takes into consideration variations of the design parameters is considered. Unlike traditional multi-objective optimization problems where the focus is placed on finding the global Pareto-optimal solutions which express the optimal trade-offs among design objectives, the robust multi-objective optimization algorithms are concerned with robust solutions that are less sensitive to decision variables’ perturbations. As a result, the mean effective values of the fitness functions are used as design objectives. Constraints on the design parameters and goals are applied. Numerical simulations show that the robust multi-objective design (RMOD) is very effective and guarantees a robust behavior as compared to that of the classical multi-objective design (MOD). The results also show that the robust region is inside the feasible search space and avoids all its boundaries.
Khan, M. A., Sardahi, Y., & Castellanos, C. I. H. (2021). Robust multi-objective optimal design of a racing car suspension system. In M. Shelley & V. Akerson (Eds.), Proceedings of IConEST 2021-- International Conference on Engineering, Science and Technology (pp. 12-25), Chicago, USA. ISTES Organization.
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