摘要
用神经网络逼近非对称泵缸系统的非线性逆模型,通过神经网络模型参考控制实现电液斜盘位置和流量的控制,使系统的不确定性和非线性等得到补偿。仿真和实验表明,所开发的神经网络控制器能够较好地实现模型跟踪控制,有较好的自适应性和鲁棒性,跟踪性能有较大改善。
A neural network model-following controller was proposed to approach nonlinear anti-model of the object, and to realize the control of electro-hydraulic swashplate position and flow, so that the uncertainty and nonlinearity of the system can be compensated. The results of simulations and experiments show that the proposed neural network controller can conduct nonlinear control, enhance adaptability and robustness, and improve the performance of the control system.
出处
《中国机械工程》
EI
CAS
CSCD
北大核心
2005年第8期678-682,共5页
China Mechanical Engineering
基金
湖北省自然科学基金资助项目(2004ABA001)
关键词
电液比例控制
非对称系统
神经网络
模型跟随自适应控制
electro-hydraulic proportional control
non-symmetry system
neural network
model-following control
