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

Volume

8

fYear

2010

fDate

16-18 Oct. 2010

Firstpage

3789

Lastpage

3792

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Image and Signal Processing (CISP), 2010 3rd International Congress on

Conference_Location

Yantai

Print_ISBN

978-1-4244-6513-2

Type

conf

DOI

10.1109/CISP.2010.5646683

Filename

5646683