Neural network PID control for mulit-range Hydro-mechanical continuously variable transmission in tractors
ZHANG Mingzhu
HAO Xiaoyang
YIN Yuxin
Abstract：As a farmland machinery,the tractor's speed is an important factor affecting the effects of operation. In order to improve the dynamic performance and driving stability of the multi-range hydro-mechanical continu-ously variable transmission (HMCVT) in tractor,and to guarantee the speed in accordance with the target speed,it is needed to enhance the quality of tractor driving comfort and work. By taking the HMCVT of the 400 horsepower wheeled tractor as the research object, this paper studies the neural network PID control for the multi-range HMCVT in tractor. According to the vehicle speed alteration,the neural network PID controller is adopted to adjust the PID parameters online. The tractor transmission system model and neural network PID controller model are established based on Matlab/Simulink platform. The neural network PID controller simula-tion on the tractor dynamics model and comparison with the PID control simulation were carried out. The results showed that the new model has the stronger adaptive ability and robustness of the neural network PID control of tractor. It laid a theoretical foundation for the multirange HMCVT tractor automation control.
Keywords：hydro-mechanical continuously variable transmissionsimulationneural network PID controlad-aptationrobustness
Publication Date：2017-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：6( 93-98 )