Bi-objective Optimization Design of Active and Nonlinear Vehicle Suspension System Under Combinatorial Random Road Profile

Abstract

In this paper, effect of the different random road inputs in the form of combinatorial profile on the nonlinear and active quarter car model with two-degree of freedom has been analyzed. Bi-objective optimization processes using differential evolution algorithm with fuzzified mutation along with non-dominated sorting algorithm and crowding distance criterion have been carried out. Further, in current work, the hybrid usage of sliding mode control with skyhook and inertial delay control has been applied for modeling of the active suspension system with nonlinear parameters under the combination of three different random roads excitation, namely, class A, B and C. It is important to notice that the two objective functions which have been selected to be simultaneously optimized are, namely, vertical sprung mass acceleration and relative displacement between sprung mass and unsprung mass. The obtained results have been depicted in Pareto frontiers. Comparison of the results of this work with the ones in the literature has proved the superiority of methodology of this work. In fact, in 75% of outputs of application tests, the proposed design of this work has conquered the ones of previous works, and it shows the proper behavior of the suggested design of this work.

Keywords

• active and nonlinear vehicle suspension system
• bi-objective optimization
• mode-fm algorithm
• pareto
• random road input