Synchroniser control with proportional pressure reducing valves and displacement feedback

Author(s):  
Wei Wu ◽  
Junlin Luo ◽  
Jibin Hu ◽  
Shihua Yuan ◽  
Bingqing Xiao

In order to improve the shift quality of automatic transmission with synchroniser, a synchroniser electrohydraulic control system equipped with the proportional pressure reducing valves is proposed. The principle of the control system is introduced in detail. The PID controller is used to realise closed-loop control of shift displacement to achieve the synchronisation. A numerical model and a test apparatus have built up to validated the control performance. The simulated and measured engagement and disengagement of the synchroniser with the proposed control system are investigated in detail. The results indicate that the shift displacement is controllable by changing the cylinder chamber pressure. The back pressure value is useful for a smooth synchroniser operation. It is determined by the sleeve motion and the throttle parameter. The back pressure affects little on the synchronisation stage during the engagement process. The proposed method can be used for the optimising design of the electrohydraulic system for the synchroniser control.

Author(s):  
Erlie Wang ◽  
Huiyan Chen ◽  
Gang Tao ◽  
Xianhui Wang ◽  
Hongliang Wang

Estimation of the oil hydraulic pressure for the gear-shift elements can be useful for the development of closed-loop control of the automatic transmission fitted to a heavy off-highway vehicle for a good gear-shift quality, to reduce the dissipated energy and the vehicular shift jerk in complex working conditions. The unified dynamic model for a three-degree-of-freedom planetary automatic transmission is presented, and the power-on upshift from first gear to second gear is considered as an example. The unified model is more efficient than the conventional model for the dynamic analysis; furthermore, it provides a computational method for the inertia of the transmission when in gear. From a phased characteristic analysis, real-time estimation of the oil pressure for the gear-shift elements in the sliding process, i.e. the torque phase and the inertia phase, is addressed; then the improved control scheme for the power-on upshift from first gear to second gear is developed and validated using a heavy off-highway vehicle equipped with a high-power full-range speed-regulating diesel engine. The experimental results show that the model-based oil pressure estimation is able to reflect the dynamic characteristics of the system in changing conditions, and the corresponding control strategy can improve the gear-shift quality and the vehicular performance effectively.


2011 ◽  
Vol 418-420 ◽  
pp. 1865-1868
Author(s):  
Ming Jin Yang ◽  
Xi Wen Li ◽  
Zhi Gang Wang ◽  
Tie Lin Shi

The performance of speed regulating is very important to the mixing process with safe, efficient operation and high quality of production. Strategies and practices of responses and optimization of a PID-based speed regulating system of a planetary mixer were presented in this paper. Research results show that: by means of the signal constraint function presented by Simulink Response Optimization, optimization PID parameters of the 2-DOF-PID controller can be obtained, and the response of close-loop control system has quite good performance of overshoot, response time, and stability compared with an open-loop control system.


2008 ◽  
Vol 32 (7) ◽  
pp. 561-568 ◽  
Author(s):  
Jong-Chan Lee ◽  
Kwan-Soo Kim ◽  
Jong-Hyung Yim ◽  
Hyo-Won Lee ◽  
Young-Min Kwon ◽  
...  

2013 ◽  
Vol 329 ◽  
pp. 434-437
Author(s):  
Yu Qiu Sun ◽  
Ji Bin Zhao ◽  
Jian Xin Sun ◽  
Ji Fei Cai

Paper tension is the most important control parameter in roll material production that directly impacts the printing quality of the web offset. Based on the closed-loop paper tension control theory, by conducting a research into the simulation of paper tension control system with MATLAB/SIMULINK, presented the closed-loop control diagram about the paper tension control system. Under different control parameter, the value of the overshoot, respond speed and residual of the system varies. As a result, the quantitative research on the simulation of the system offers a valid means in improving the control accuracy.


1993 ◽  
Author(s):  
Toshitaka Naruse ◽  
Yasuhiro Nakashima ◽  
Yasuhiro Murayama ◽  
Yasuji Akiyoshi ◽  
Tamotsu Kurachi

2020 ◽  
Vol 9 (2) ◽  
pp. 133-142
Author(s):  
Bin Wu ◽  
◽  
Cunxi Chen ◽  

Electric vehicles equipped with automated manual transmission (AMT) provide the potential for improving the power and economic performance. However, due to the direct connection between the driving motor and the input shaft of the transmission, the higher moment of inertia at the input of AMT would lead to a poor shift quality. Based on the dynamic analysis of the engagement process of AMT without synchronizer, the dynamic model of the engagement process was established by using AMESim software. Through the analysis of the engagement process, it was concluded that the higher contact force and longer meshing duration under reverse contacting engagement condition is the main reason for the shift difficulty. In order to improve the shift quality, the influences of the sleeve teeth shape parameters of reverse contacting chamfer on the engagement process were analyzed and the simulation validation was performed. The simulation results showed that reducing the width and increasing the angle of the reverse contacting chamfer can effectively reduce the engagement duration and the contact force impulse, although the vehicle jerk was increased slightly, which did not exceed the most stringent criterion value of 10 m·s-3. Optimization of teeth shape parameters of reverse contacting chamfer can be considered to improve the shift quality of the electric vehicle equipped with an AMT.


Author(s):  
J Yi ◽  
X-L Wang ◽  
Y-J Hu ◽  
C-G Li

Based on a human-vehicle-road closed-loop system of vehicle steering parameter, road surface status, and driver manipulating information, the primary principle of fuzzy intelligent shift control of a tracked vehicle is proposed and the simulation model of a drivetrain is established to adapt the automatic transmission to the complex driving conditions of a tracked vehicle. Using the fuzzy control theory, an intelligent fuzzy shift control system composed of a basic fuzzy shift strategy and a fuzzy modification module is developed to improve the dynamic characteristics and cross-country manoeuvrability. The simulation result shows that the fuzzy shift strategy can improve the shift quality of a tracked vehicle under manifold driving conditions and avoid shift cycling effectively, therefore proving that the intelligent fuzzy shift strategies are better.


2014 ◽  
Vol 509 ◽  
pp. 213-217
Author(s):  
Xing Zhong Li ◽  
Yu Long Lei ◽  
Shao Hua Sun

According to the automatic control system of pneumatic AMT clutch, this paper proposes a novel PID control based on logical switch of clutch engagement index. The PWM control is used to make a control for the solenoid valve. And a controller is established by this control algorithm. The automatic control system of pneumatic AMT clutches modeling using the AMEsim software, related simulation analysis and modifying the control parameters of the controller. It is conducted stand test according to the test scheme for the clutch automatic control system. And the test data is record and made an analysis on. The control algorithm is verified by stand test, greatly improving the bonding quality of the clutch.


Author(s):  
J-O Hahn ◽  
J-W Hur ◽  
G-W Choi ◽  
Y M Cho ◽  
K I Lee

Electrohydraulic shift control of a vehicle automatic transmission has been predominantly carried out via open-loop control based on numerous time-consuming calibrations. Despite remarkable success in practice, the variations of system characteristics inevitably cause the performance of the tuned open-loop controller to deteriorate. As a result, the controller parameters need to be continuously updated in order to maintain satisfactory shift quality. This paper presents a selflearning algorithm for automatic transmission shift control in a commercial construction vehicle during the inertia phase. First, an observer reconstructs the turbine acceleration signal (impossible to measure in a commercial construction vehicle) from the readily accessible turbine speed measurement. Then, a control algorithm based on a quadratic cost function of the turbine acceleration is shown to guarantee the asymptotic convergence (within a specified target bound) of the error between the actual and the desired turbine accelerations. A Lyapunov argument plays a crucial role in deriving adaptive laws for control parameters. The simulation and hardware-in-the-loop simulation studies show that the proposed algorithm actually delivers the promise of satisfactory performance despite the variations and uncertainties of system characteristics.


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