中文摘要：

为改善配备有多段液压机械无级变速器（hydro-mechanical continuously variable transmission,HMCVT）拖拉机的动态响应性能和行驶平稳性,保证拖拉机按照目标车速稳定行驶,提高拖拉机的驾驶舒适性和作业质量,以东方红400马力轮式拖拉机为研究对象,对多段HMCVT拖拉机行驶车速进行神经网络PID控制研究。根据实际车速变化实时调节PID控制器的参数,实现对目标车速的控制。利用Matlab/Simulink仿真建模软件建立神经网络PID控制器和拖拉机传动系统模型,对多段HMCVT拖拉机进行神经网络PID控制仿真并与常规PID控制进行比较可知,神经网络PID控制器对车速控制具有更好的自适应能力和鲁棒性。研究结果可为多段HMCVT拖拉机的自动化操作控制提供参考。

英文摘要：

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 continuously 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 simulation 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.