Active suspension control with state estimation using finite Markov chains

Validation of a Nonlinear Two-dimensional MacPherson Suspension System Model with Multibody Simulations

“…Modeling the MacPherson suspension system in a twodimensional planar model can express the essential responses of the system [3], [12]. The derivation of [10], [11] followed the path outlined in [12]. Figures of the model are adapted from [12] and shown in Fig.…”

“…The following restrictions are considered for the model: [10], a simple nonlinear model was derived based on linearized kinematics of the planar system and the system dynamics were obtained from Euler-Lagrange equations:…”

“…In [10], [11] a simple nonlinear two-dimensional dynamic model of the MacPherson suspension system was derived by analyzing the system kinematics and deriving the dynamics using the Euler-Laurange approach [12], [3]. In [10], the work was extended to state estimation and control in a stochastic environment. The aim of this paper is to validate the twodimensional MacPherson model presented in [10] by comparing its outputs to similar two-dimensional model made in commercial multibody simulation software Adams/View.…”

“…In [10], the work was extended to state estimation and control in a stochastic environment. The aim of this paper is to validate the twodimensional MacPherson model presented in [10] by comparing its outputs to similar two-dimensional model made in commercial multibody simulation software Adams/View. The dynamic behavior of the suspension system is simulated with sine wave and bump/pothole excitation.…”

“…This paper is organized as follows. Section 2 will outline the kinematic and dynamic equations that are derived in [10]. Section 3 describes the two-dimensional multibody model prepared in Adams/View.…”