Cited 0 time in webofscience Cited 0 time in scopus

Nonlinear Identification of Electronic Brake Pedal Behavior Using Hybrid GMDH and Genetic Algorithm in Brake-By-Wire System

Title
Nonlinear Identification of Electronic Brake Pedal Behavior Using Hybrid GMDH and Genetic Algorithm in Brake-By-Wire System
Authors
Bae, JunhyungLee, SeonghunShin, Dong-HwanHong, JaeseungLee, JaeseongKim, Jong-Hae
DGIST Authors
Bae, Junhyung; Lee, SeonghunShin, Dong-Hwan; Hong, Jaeseung; Lee, Jaeseong
Issue Date
2017-05
Citation
Journal of Electrical Engineering and Technology, 12(3), 1292-1298
Type
Article
Article Type
Article
Keywords
Brake by WireBrake by Wire SystemsBrake by WiresBrakesCompensationCorrelation CoefficientData HandlingExperimental ReactorsFault DetectionGenetic AlgorithmGenetic AlgorithmsGroup Method of Data HandlingIdentification (Control Systems)Mean Square ErrorMulti Layer NetworkNetwork LayersNon Linear System IdentificationNonlinear IdentificationsReligious BuildingsRoot Mean Square ErrorsSystem IdentificationWire
ISSN
1975-0102
Abstract
In this paper, we represent a nonlinear identification of electronic brake pedal behavior in the brake-by-wire (BBW) system based on hybrid group method of data handling (GMDH) and genetic algorithm (GA). A GMDH is a kind of multi-layer network with a structure that is determined through training and which can express nonlinear dynamics as a mathematical model. The GA is used in the GMDH, enabling each neuron to search for its optimal set of connections with the preceding layer. The results obtained with this hybrid approach were compared with different nonlinear system identification methods. The experimental results showed that the hybrid approach performs better than the other methods in terms of root mean square error (RMSE) and correlation coefficients. The hybrid GMDH/GA approach was effective for modeling and predicting the brake pedal system under random braking conditions. © The Korean Institute of Electrical Engineers.
URI
http://hdl.handle.net/20.500.11750/4191
DOI
10.5370/JEET.2017.12.3.1292
Publisher
Korean Institute of Electrical Engineers
Related Researcher
Files:
There are no files associated with this item.
Collection:
ETC1. Journal Articles


qrcode mendeley

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

BROWSE