The effect of motion system characteristics on perceptual and behavioural fidelity

Motion systems used for training purposes are generally of the Stewart type and feature six legs that can move independently. The inherent problem of motion platforms is that the workspace is limited by the leg length and the configuration of the platform. Therefore, the platform must be controlled with washout filters to stay within its bounds. This means that the pilot on the platform is provided with different or even false cues compared to real flight which influences perception and control behaviour.
 
Another source of influence is based on the characteristics of a motion platform. These depend on the way the legs are driven. Common systems include electrical motors and hydraulic systems, which have different characteristics in terms of noise and smoothness.
The objective of this project is to investigate the influence of the different motion system characteristics on perception and control behaviour of the human operator. For this purpose, the mid-size motion platform at the Max Planck Institute will be modelled kinematically and dynamically. This model is used to simulate the MPI motion platform on the larger SIMONA motion simulator at Delft University of Technology, The Netherlands. The model will be validated with measurements of the platform response and with experiments with human subjects.
In the final stage of the project, the model of the MPI motion platform will be used to simulate motion platforms that lie in between the MPI platform and SIMONA in terms of the motion characteristics. By doing experiments with humans subjects, this will allow us to uncover the influence of the motion characteristics on the perception and control behaviour.
Last updated: Tuesday, 07.05.2013