Intelligent Control for AMT Based on Driver's Intention and ANFIS Decision-Making

被引：0

作者：

Zhao, Guangyao ^{[1
]}

Peng, Cuiyun ^{[1
]}

Wang, Xiting ^{[2
]}

机构：

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

[2] Shenyang Univ Technol, Sch Mech Engn, Shenyang, Liaoning Prov, Peoples R China

来源：

2008 7TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-23 | 2008年

关键词：

AMT gearshift decision-making; driver's intentions; self-adaptation fuzzy control; ANFIS; simulation;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The control strategy of AMT (Automated Mechanical Transmission) is one of the most popular and heated-discussed problems in the research of automobile transmission. To realize the reasonable control on a vehicle, it is significant to meet the need of dynamics and economy, but it is more important to work out intelligence gearshift and control strategy accord with driver's operating intentions and realistic driving conditions. This paper builds up a tracing model of driver's intentions in the guidance of fuzzy control theory. The model has self-adaptation fuzzy features of tracing throttle and other parameters according to a vehicle's driving parameter and specific road status, and improves the function of fuzzy controller greatly. Furthermore, establish the shift decision-making based on ANFIS (Adaptive Network based Fuzzy Inference System) self-adaptation neural-fuzzy inference system. Design intelligent control shift strategies system of AMT according to summary driver experience, which can coordinate driver's behavior and wish. Thus, the vehicle's performances are improved greatly.

引用

页码：1 / +

页数：2

共 9 条

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