Title :
Intelligent control system of safety seat in braking condition
Author :
Ge, Ruhai ; Zhu, Wenting
Author_Institution :
Sch. of Automobile & Traffic Eng., Jiangsu Univ., Zhenjiang, China
Abstract :
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.
Keywords :
braking; fuzzy reasoning; intelligent control; particle swarm optimisation; rail traffic; railway safety; seats; braking condition; fuzzy inference system; intelligent control system; membership function; particle swarm optimization; safety seat; seat cushion angle adjustment mechanism; Control systems; Equations; Fuzzy sets; Intelligent control; Mathematical model; Optimization; Particle swarm optimization; Fuzzy Inference System; Particle Swarm Optimization; Safety Seat;
Conference_Titel :
Image and Signal Processing (CISP), 2010 3rd International Congress on
Conference_Location :
Yantai
Print_ISBN :
978-1-4244-6513-2
DOI :
10.1109/CISP.2010.5646683
