DYNAMIC ANALYSIS AND OPTIMIZATION OF A 6X6 VEHICLE’S ACTIVE SUSPENSION SYSTEM
Palavras-chave:
Vertical Dynamics, Active Suspension, Optimization, Genetic Algorithm, Linear Quadratic RegulatorResumo
In a big dimensions vehicle, the suspension system performs an essential role in stability, driveability
and comfort, being responsible to reduce vibrations induced by ground irregularities, which provides the
increasement of suspension and vehicle components life cycle. In this context, the objective of this work is to
analyze the dynamic time response of an active front suspension model in a space-state formulation, obtaining
through multibody modeling the optimized response for the system, taking into consideration the variables of
interest: control force and reduction of the speed of the suspended mass. The closed loop control systems are
designed and compared using different strategies: Linear Quadratic Regulator (LQR) and Genetic Algorithm (GA)
associated with LQR in order to check the optimal model. The plant parameters are, at first, equivalent to a 1⁄4 car
model of a 6X6 Military Vehicle, and the results obtained are simulated through MATLAB/Simulink® for a 1⁄2 car
model to understand the vertical dynamics phenomenon including variables as pitch and center of gravity speed.
