Energy Consumption Test Methods and Results for Servo-Pump Continuously Variable Transmission Control System

Author(s):  
Thomas H. Bradley ◽  
Brian R. Huff ◽  
Andrew A. Frank
2004 ◽  
Author(s):  
Hideaki Takahara ◽  
Hideki Yasue ◽  
Ryoji Habuchi ◽  
Tadashi Ishihara ◽  
Shigeo Tsuzuki ◽  
...  

2012 ◽  
Vol 479-481 ◽  
pp. 1897-1900
Author(s):  
Yue Cheng

Control system and some functional circuits of automotive CVT (Continuously Variable Transmission) based on ATmega164P single chip computer were introduced in this paper. Hydraulic system of the CVT was controlled according to the throttle position signal, oil pressure, rotating speed of the engine and transmission output speed etc. This system has achieved the clamping force control of the metal belt.


2011 ◽  
Vol 230-232 ◽  
pp. 334-338
Author(s):  
Lei Zhang ◽  
Xiao Ming Zhang ◽  
Xiu Ming Yang ◽  
Yan Liu

Due to the complexity of the car running condition, the differences of the subjective intention of the driver, and Continuously Variable Transmission control system itself existed nonlinear, time delay, interference, variable parameter factors, the traditional control arithmetic based on scale model is hard to meet the clutch control requirements. This article through to design the drive mechanism of the dry friction clutch on a new, without hydraulic pump, pure electronic control car continuously variable transmission, and analyze its mechanical properties and control target, the clutch control model was established, according to the fuzzy control theory, driving experience and developers’ technical experience, the corresponding fuzzy language rules were formed, and intelligent control of the clutch on the single-chip control system was realized. At present, the pure electronic control continuously variable transmission has been tested on the experimental bench and car operation, and has passed the inspection by the national vehicle quality supervision and inspection center (Chongqing) and the identification by China Machinery Industry Federation .


2015 ◽  
Vol 2015 ◽  
pp. 1-17
Author(s):  
Chih-Hong Lin

Because the V-belt continuously variable transmission (CVT) system driven by permanent magnet synchronous motor (PMSM) has much unknown nonlinear and time-varying characteristics, the better control performance design for the linear control design is a time consuming procedure. In order to overcome difficulties for design of the linear controllers, the hybrid recurrent Laguerre-orthogonal-polynomial neural network (NN) control system which has online learning ability to respond to the system’s nonlinear and time-varying behaviors is proposed to control PMSM servo-driven V-belt CVT system under the occurrence of the lumped nonlinear load disturbances. The hybrid recurrent Laguerre-orthogonal-polynomial NN control system consists of an inspector control, a recurrent Laguerre-orthogonal-polynomial NN control with adaptive law, and a recouped control with estimated law. Moreover, the adaptive law of online parameters in the recurrent Laguerre-orthogonal-polynomial NN is derived using the Lyapunov stability theorem. Furthermore, the optimal learning rate of the parameters by means of modified particle swarm optimization (PSO) is proposed to achieve fast convergence. Finally, to show the effectiveness of the proposed control scheme, comparative studies are demonstrated by experimental results.


Sign in / Sign up

Export Citation Format

Share Document