Comfort evaluation model of flight simulator seat based on ANFIS-IPD
In order to improve the comfort of existing flight simulator seats and alleviate pilots'fatigue experiences caused by long training sessions,a flight simulator seat comfort evaluation model was established based on Adaptive Neuro-Fuzzy Inference System(ANFIS)and Ideal Pressure Distribution(IPD).Seat pressure distribution data was obtained through the seat pressure distribution acquisition system.The obtained data was normalized into model input data using IPD,and the subjective scores of the subjects were collected as the output data at the same time.The optimization design was performed using non uniform rational B-spline(NURBS).The processed experimental data was trained and validated by ANFIS tool,and the evaluation model was used to evaluate the design scheme to verify its superiority.The results showed that the model had a good predictive ability for flight simulator seat comfort and could provide guidance and references for improving the comfort of flight simulator seats.
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