摘要
针对位置扰动型被动式电液加载系统的多余力矩和参数变化问题,文章在利用结构不变性原理进行前馈补偿的基础上,采用具有自适应能力的神经网络PID控制器来提高系统的加载性能。通过仿真表明:采用这种复合方式控制方法,可以有效减小多余力矩,同时克服了系统的非线性和参数时变等因素对系统的影响,提高了系统的鲁棒性和加载性能。
The passive electro-hydraulic loading system with position disturbance has specific problem, such as surplus torque and parameters variation. In this thesis, based on the feed-forward compensation with structural invariance principle, the adaptive neural network PID controller was designed to improve the system loading performance. Simulation results indicate that this control method can effectively eliminate surplus torque, reduce the influence of non-linear and parameters variant factors to the system, enhance the system＇s robustness and loading performance.
出处
《组合机床与自动化加工技术》
2008年第3期34-37,共4页
Modular Machine Tool & Automatic Manufacturing Technique
关键词
位置扰动
电液加载系统
神经网络PID控制
position disturbance
electro-hydraulic loading system
neural network PID control
