摘要
为探讨电液伺服系统的同步控制方法,以一个四液压缸大型平台电液伺服同步控制系统为对象,采用实验数据辨识4个液压缸的数学模型,对神经元自适应控制器用于同步控制进行了研究和改进,提出了虚拟主动缸和混合同步神经元控制结构.仿真结果表明:采用虚拟主动缸的同步效果好,最大同步误差为0.2606 mm,但需要建立1个液压缸的数学模型;采用混合同步神经元控制结构,不需要建立数学模型,可通过调节参数控制同步误差,较好地实现同步控制,3和8Hz正弦信号输入时最大同步误差分别为0.4313和0.3825 mm.
In order to probe into the synchronization control of an electro-hydraulic servo system,a large platform with four hydraulic cylinders was taken as the research object,and the four hydraulic cylinders were identified mathematically with experiment data,and the adaptive neuron technique was employed to realize the synchronization control.Two strategies of virtual master cylinder and hybrid neural synchronization control were proposed.The simulation results show that the strategy of virtual master cylinder can achieve a desirable synchronization performance,the maximum synchronization error is 0.260 6 mm,but it needs to build the mathematical model of one hydraulic cylinder.The strategy of hybrid neural synchronization control does not need to build the mathematical model and can achieve a relative good synchronization control performance by adjusting parameters to minimize synchronization error,and the maximum synchronization error is 0.431 3 and 0.382 5 mm respectively under the sinusoidal input signals of 3 and 8 Hz.
出处
《西南交通大学学报》
EI
CSCD
北大核心
2012年第2期258-264,共7页
Journal of Southwest Jiaotong University
关键词
改进神经元控制器
虚拟主动缸
混合同步
建模
仿真
modified neuron control
virtual master cylinder
hybrid synchronization
modeling
simulation
