Research on State-Space Mapping Algorithm from the Vehicle Unsteady Constraint Test System to the Independent Vehicle System

Abstract

Project the vehicle unsteady constraint test system for testing vehicle ESP control performances safely and efficiently, set up the test system dynamics model. Based on the Matlab/Simulink establish the dynamics simulation system of the vehicle unsteady constraint test system for the Chery A3 car. Using the simulation model, we respectively simulate the stability control performances of the test system and the independent vehicle system on steady-state conditions of under steering and over steering. Research and verify the state-space mapping algorithm from the test system to the independent vehicle system using the artificial neural network. The study results indicate that the state-space mapping algorithm from the vehicle unsteady constraint test system to the independent vehicle system using the artificial neural network has ideal mapping performance, it will provide a theoretical basis and technical support for researching the vehicle ESP control performances based on the vehicle unsteady constraint test system.