Intelligent control system of safety seat in braking condition

This paper studied the control system of the seat cushion angle adjustment mechanism in braking condition, and established its intelligent control system model. The system is based on fuzzy inference system using particle swarm optimization to optimise its membership functions, thereby it overcame the defects of fuzzy inference system and improved the control accuracy. Finally, according to a large number of experimental datas and the optimized fuzzy inference system, the threshold for discrimination of braking conditions is determined.