Distributed Neural Network Used in Control of Brake Torque Distribution

Author

Adamiec-Wojcik, I. ; Obrocki, Krystian ; Warwas, Kornel

Author_Institution

Univ. of Bielsko, Bielsko-Biala

fYear

2005

fDate

5-7 Sept. 2005

Firstpage

116

Lastpage

119

Abstract

The paper presents implementation application of a feed-forward multi-layer neural network for a distributed system. A modified distributed topology with a changeable number of blocks is proposed. This enables us not to carry out parallel calculations on single processors. The distributed network is used to solve an optimization task in order to find such a distribution of braking torques applied to car wheels which assure a stable motion in difficult situation on a road. The model of the car, optimization task and results of calculations are presented. The use of distributed neural network considerably shortens the calculation time.

Keywords

brakes; feedforward neural nets; motion control; neurocontrollers; road vehicles; stability; torque control; vehicle dynamics; brake torque distribution; car wheel; distributed network; distributed system; distributed topology; feed-forward multilayer neural network; single processor; stable motion; Artificial neural networks; Biological neural networks; Computer networks; Distributed computing; Feedforward systems; Network servers; Network topology; Neural networks; Torque control; Vehicles; control of brake torque; distributed calculations; neural networks; vehicle dynamics;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, 2005. IDAACS 2005. IEEE

Conference_Location

Sofia

Print_ISBN

0-7803-9445-3

Electronic_ISBN

0-7803-9446-1

Type

conf

DOI

10.1109/IDAACS.2005.282952

Filename

4062103