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In this paper we present the implementation of a model-predictive controller (MPC)
for real-time control of a cable-robot-based motion simulator. The controller computes control
inputs such that desired acceleration and rotational velocity at a de ned point in simulator's
cabin are tracked while satisfying constraints due to working space and allowed cable forces of
the robot. The tracking performance and computation time of the algorithm are investigated
in computer simulations. Furthermore, for motion simulation scenarios where the reference
trajectories are not known beforehand, we derive an estimate on how much motion simulation
delity can maximally be improved by any reference prediction scheme compared to the case
when no prediction scheme is applied.