Identification of power steering system dynamic models

This paper presents the identification of the dynamic model for a power steering system constructed using a rotary valve. The steering system is divided into two subsystems: mechanical and hydraulic. Each subsystem is modeled separately. An experimental setup is designed and built to instrument the steering system. The parameters of the steering system are identified using experimental data. Several methods are proposed for model parameter estimation. The steering system is de-coupled for identification of parameters of each subsystem. The Least Square Estimation method (LSE) is used to determine the parameters that are not directly measurable or are not measurable at steady state. The developed dynamic model is validated against experimental results.