Adaptive motion cueing algorithm based on fuzzy tuning for improving human sensation

As one of the key technologies of flight simulator, motion cueing algorithm (MCA) plays a great role in regenerating realistic motion and the similar human perception within physical limitations. Although it is the most popular MCAs, classic washout algorithm has some drawbacks, including distortion of the original signal, false cue motions, poor usage of the workspace and wrong human sensation. In order to overcome these problems and minimize human sensation error between the actual flight and simulator while exploiting the platform more efficiently within the motion constraints, this paper proposed a new method which adopt signal error compensators based on fuzzy logic online tuning. And the fuzzy tuning logic controller based on displacement, workspace limitation and the sensed specific force error. The proposed method also contains a non-linear scaling factor to adjust the amplitude of the input signal and uses partial range scaling of the tilt rate limiter to overcome the discontinuous movement. After simulating and analyzing, it shows the superiority of the proposed MCA as it decreases human sensation error to meet high fidelity and exploit platform workspace more efficiently within physical limitations to deliver realistic motion.