摘要
针对传统PID控制方法不能满足电液开口机构控制系统自适应力要求的问题,提出一种基于神经网络PID自整定算法.首先,建立神经网络模型,在神经网络PID控制过程中,由传感器检测并反馈液压系统的位移信息;其次,将得到的位移信息经过神经网络对PID的参数进行在线调整.仿真实验结果表明,本算法的电液开口机构超调量小,稳态精度高,系统运行平稳,自适应能力明显增强.
The traditional PID control method can not meet the adaptive force requirement of the electro-hydraulic opening mechanism control system.A self-tuning algorithm based on neural network PID is thus proposed. Firstly, a neural network model is established, In the PID neural network control process,displacement informaion of hydraulic system is detected and responded by sensors.Then the parameters of PID are adjusted online by the displacement information through the neural network. The simulation results show that the new system with small overshoot and high steady-state precision runs smoothly, and the self-adaptability is obviously enhanced.
作者
姚青岐
马训鸣
洪奔奔
高磊
YAO Qingqi;MA Xunming;HONG Benben;GAO Lei(School of Mechanical ＆ Electronic Engineering,Xi′an Polytechnic University,Xi′an 710048,China)
出处
《西安工程大学学报》
CAS
2018年第4期468-473,共6页
Journal of Xi’an Polytechnic University
基金
陕西省科技厅攻关项目(2014K06-38)
关键词
电液开口机构
PID控制
神经网络
液压系统
electrohydraulic opening mechanism
PID control
neural network
hydraulic system
