차량 운동재현기의 재현 알고리즘

In this work, three algorithms combined with two frequency response function (FRF) estimation methods are proposed for the purpose of regeneration of field data for six degrees of freedom vehicle motion simulators. Then the algorithms are tested and the rates of convergence are investigated through simulations with mathematical nonlinear models and laboratory experiments. The performances of each algorithm are evaluated based on the variance calculated from the error between the given field data and the regenerated data in the frequency domain. Extensive simulation and experimental works suggest that the algorithm, which uses the inverse FRF estimation method and takes into account the inherent system nonlinearity. reveals the best and satisfactory performance in the regeneration of field data for the laboratory vehicle motion simulator.