摘要
采用数字控制技术取代传统的模拟控制是磁悬浮轴承控制技术的发展方向。但数字控制器固有的时延现象会严重影响控制器的品质,甚至引起控制器工作的失败。本文在研究了磁悬浮轴承数字控制时延的组成及其对控制系统性能影响的基础上提出了一种新的时延补偿算法,该算法通过预测下一采样时刻的系统输出来消除时延对控制系统的影响。预测算法由磁悬浮轴承的离散化模型得到,算法系数由神经网络修正。实验结果表明该算法能够很好地补偿数字控制器的时延,实现了数字控制磁悬浮轴承的稳定悬浮和旋转。
Using digital control technology in active magnetic bearing（AMB） system has many advantages,but the time delay in digital controller can seriously affect the quality of the control system,and even lead to the failure of the controller.On the basis of the research on the component of the time delay and its effect on the control system,an compensatory algorithm for the time delay is given in this paper.This algorithm removes the time delay effect by means of predicting the output of system in the next sampling point.The prediction algorithm is deduced from the discrete model of the magnetic bearing and is corrected using neural network.Experimental results show that this algorithm can compensate the time delay very well.Steady suspensional and rotation of the AMB are fulfilled after using digital control system with this algorithm.
出处
《电工技术学报》
EI
CSCD
北大核心
2011年第6期108-112,共5页
Transactions of China Electrotechnical Society
基金
国家自然科学基金资助项目(50775129)
关键词
磁悬浮轴承
数字控制
时延
补偿算法
Active magnetic bearing
digital control
time delay
compensatory algorithm
