한국해양대학교

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A Study on the Identification and Speed Control of a Diesel Engine Using Levenberg-Marquardt Backpropagation Algorithm Neural Networks

Title
A Study on the Identification and Speed Control of a Diesel Engine Using Levenberg-Marquardt Backpropagation Algorithm Neural Networks
Alternative Title
Levenberg-Marquardt Backpropagation Algorithm Neural Network을 이용한 디젤엔진 동정과 속도제어에 관한 연구
Author(s)
金璟燁
Publication Year
2002
Publisher
한국해양대학교
URI
http://kmou.dcollection.net/jsp/common/DcLoOrgPer.jsp?sItemId=000002173727
http://repository.kmou.ac.kr/handle/2014.oak/8149
Abstract
Diesel engine is known as nonlinear system because of its dead time due to injection delay and ignition delay. So, it is very difficult and complex to model this nonlinear system because it varies widely according to number of cylinder and RPM.


In this paper, in order to design the speed control system of a diesel engine, neural network architecture is introduced and the optimal structure of neuro emulator is determined based on the modelling of a diesel engine, trained with various backpropagation algorithms and the performance of each trained networks is compared . Also, neuro controller, the inversely trained neural network of neuro emulator, is designed for the speed control system of a diesel engine. The selective neuro controller is proposed for the sake of improvement of the neuro controller performance and by combining a PI controller with the proposed controller, the efficiency of this combination speed control system of a diesel engine is ascertained.
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