Research on the H point-anchorage angle of high-angle seat based on BPNN-GA

Abstract

In this paper, the changes of safety belt anchorage, H point, and H point-anchorage angle (α₁ and α₂) with seat back angle and seat pan angle of the high-angle seat are studied. Firstly, the structure of the high-angle seat was analyzed. The research range of the seat back angle and seat pan angle was determined by the three-dimensional H-point test device. Then, Latin hypercube sampling and back propagation neural networks were combined to study the changing trend of α₁ and α₂. Finally, the genetic algorithm and back propagation neural network were combined to build a model to identify the minimum H point-anchorage angle. The results show that the α₁ and α₂ tend to increase with the increase of seat pan angle. The proposed model has a recognition error of 4.3% and can identify the minimum H point-anchorage angle seat position.