Study on AMT Intelligent Control Based on ANFIS ＆ Self-tuning Parameters
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 drivers 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 drivers behavior and wish. Thus, the vehicles use performances are improved greatly.
AMT transmission shift decision self-tuning fuzzy control ANFIS simulation
Guangyao Zhao Xiting Wang Linfeng Di
the School of Mechanical Engineering & Automation, Northeastern University, Shenyang Liaoning Provin School of Mechanical Engineering, Shenyang University of Technology, Shenyang Liaoning Province, 110 bmw-brilliance automotive ltd, Shenyang Liaoning Province, 110004, China,
国际会议
武汉
英文
2007-09-21（万方平台首次上网日期，不代表论文的发表时间）