Intelligent control for AMT based on driver’s intention and ANFIS decision-making
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 driverpsilas operating intentions and realistic driving conditions. This paper builds up a tracing model of driverpsilas intentions in the guidance of fuzzy control theory. The model has self-adaptation fuzzy features of tracing throttle and other parameters according to a vehiclepsilas 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 driverpsilas behavior and wish. Thus, the vehiclepsilas performances are improved greatly.