Design and Simulation of a Scaled Motion Platform System Based Parallel Robot

Driving simulation systems with 6-degree-of-freedom motion platforms based on parallel robots that support motion perception are used in driver training and human sensory research. The article focuses on calculating and building a scaled model of the 6-dof motion platform for both researching motion cueing algorithms in recreating the motion sensation and adjusting the their parameters accordingly. Then, the motion platform model is integrated with other devices including the motion control system, the virtual 3D environment to construct a scaled simulation driving system. The simulation results and testing of basic movements of the simulation platform show the accuracy of the position and angle of inclination, in addition, the motion platform responds has quick respond that is suitable for the study of movements during driving tasks.