Study on AMT intelligent control based on ANFIS & leself-tuning parameters

被引：0

作者：

Zhao, Guangyao ^{[1
]}

Wang, Xiting ^{[1
]}

Di, Linfeng ^{[1
]}

机构：

[1] Northeastern Univ, Sch Mech Engn & Automat, Shenyang 110004, Liaoning Prov, Peoples R China

来源：

PROGRESS IN INTELLIGENCE COMPUTATION AND APPLICATIONS, PROCEEDINGS | 2007年

关键词：

AMT transmission shift decision; self-tuning fuzzy control; ANFIS; simulation;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In order to suit different situations and different environments, automobile transmission shift strategies are not only meets with power and economy requirements, but also assorts. with the driver's behavior in real-time In this paper, The author chooses Automated Mechanical Transmission (AMT) as the research object. Use fuzzy control theory following driving intention by throttle self-tuning fuzzy controller and establish the shift decision based on ANFIS (Adaptive Network based Fuzzy Inference System) self-adaptation neural-fuzzy inference system. Design automatic transmission intelligent control shift strategies system according to summary driver experience, which can coordinate driver's behavior and wish. Thus, the vehicle's use performances are improved greatly.

引用

页码：547 / 551

页数：5

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