An adaptive inverse control of the vibration table system in the centrifuge

摘要：

with respect to the uncertainties and nonlinear disturbances in the vibration table system fixed in the centrifuge, the control system with the combination of PID control and indirect adaptive inverse control of dynamic recursive neural network is designed. And a number of digital simulations for the control system are carried out with Matlab language. Simulation results show that the PID control improves the vibration table systems stability; the neural network identifiers off-line learning has better effect on identification of the mathematic models of the vibration table system; the neural network controllers off-line learning can approach the inverse models of the vibration table system; the on-line control of dynamic recursive neural network can achieve the expected control quality.

关键词： vibration table system Dynamic recursive neural network PID control Adaptive inverse control

作者: Liang Ying-liang Tian Chang-hui Zhang Li Zhang Hai-fang

作者单位: The Science Institute, Air Force Engineering University, Xian, Shaanxi, China

会议类型: 国际会议

会议名称: 第八届国际测试技术研讨会(8th International Symposium on Test and Measurement)

会议地点: 重庆

会议语种:英文

页码: 570-573

在线出版日期: 2009-08-01（万方平台首次上网日期，不代表论文的发表时间）