A Design of Nonlinear Scaling and Nonlinear Optimal Motion Cueing Algorithm for Pilot's Station

Motion cueing algorithms (MCA) are often applied in the motion simulators. In this paper, a nonlinear optimal MCA, taking into account translational and rotational motions of simulator within its physical limitation, is designed for platform aiming to minimize human’s perception error order provide high degree fidelity. Indeed, movement sensation center most MCA placed at upper platform, which may cause certain error. Pilot’s station should be paid full attention MCA. Apart from this, scaling limiting module plays an important role optimizing workspace reducing false cues during reproduction. It used along washout filter decrease amplitude signals uniformly across all frequencies through A method accurately duplicate with realistic behavior use more efficiently without violating limitations. The simulation experiment verified longitudinal/pitch direction simulator. result implies that proposed can not only overcome problem limitations reproduction improve realism sensation, but also reduce dynamic fidelity process.