|Table of Contents|

PID Control of Engine Idle Speed Based on Fuzzy Neural Network(PDF)

南京师范大学学报（工程技术版）[ISSN:1006-6977/CN:61-1281/TN]

Issue:
2012年04期
Page:
6-10
Research Field:
Publishing date:

Info

Title:
PID Control of Engine Idle Speed Based on Fuzzy Neural Network
Author(s):
Lian Meilin1; Chen Zeyu2; Gu Zhihua1; Xu Xiaohui1; Zhang Jinlong1
1.School of Electrical and Automation Engineering,Nanjing Normal University,Nanjing 210042,China
Keywords:
gasoline engine;  idling speed control;  fuzzy neural network; PID control
PACS:
TK411
DOI:
-
Abstract:
In view of the existing non-linearity， time-variation and unsteadiness of idling process in gasoline engine and the difficulty in obtaining a good performance by traditional PID control， an idling PID control based on fuzzy neural network is proposed． A control platform combining fuzzy control，neural network and PID control is applied in idling control of gasoline engine． We set up a radial basis function( BP) neural network model． The dynamic BP algorithms of three layers forward networks is adopted． By the function of self-learning and adaptability the weights of BP network and the parameters of PID are adjusted in real time to a group of kp ，k i and kd suitable for the idling control， therefore the selfadaptation and intelligent control of the engine idling PID control can come true． The experimental result shows that PID controller based on BP neural network adjusting has such better control performance as quick response and good robustness， and decrease idling speed fluctuation and that it improves obviously the stability of idling operation．

References:

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Last Update: 2013-03-21