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논문 기본 정보

자료유형
학술저널
저자정보
Junhyung Bae (DGIST) Seonghun Lee (DGIST) Dong-Hwan Shin (DGIST) Jaeseung Hong (DGIST) Jaeseong Lee (DGIST) Jong-Hae Kim (Catholic University of Daegu)
저널정보
대한전기학회 Journal of Electrical Engineering & Technology Journal of Electrical Engineering & Technology Vol.12 No.3
발행연도
2017.5
수록면
1,292 - 1,298 (7page)

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초록· 키워드

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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.

목차

Abstract
1. Introduction
2. Configuration of Developed Brake-By-Wire System
3. Application of Hybrid GMDH/GA to the Electronic Brake Pedal System
4. Experimental Results
5. Conclusions
References

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UCI(KEPA) : I410-ECN-0101-2017-560-002385582