Fuzzy iterative learning control of electro-hydraulic servo system for SRM direct-drive volume control hydraulic press |
| |
Authors: | Jian-ming Zheng Sheng-dun Zhao Shu-guo Wei |
| |
Affiliation: | ZHENG Jian-ming1,2,ZHAO Sheng-dun1,WEI Shu-guo1 1.School of Mechanical Engineering,Xi'an Jiaotong University,Xi'an 710049,China,2.School of Mechanical Instrumental Engineering,Xi'an University of Technology,Xi'an 710048 |
| |
Abstract: | A new kind of volume control hydraulic press that combines the advantages of both hydraulic and SRM (switched reluctance motor) driving technology is developed. Considering that the serious dead zone and time-variant nonlinearity exist in the volume control electro-hydraulic servo system, the ILC (iterative learning control) method is applied to tracking the displacement curve of the hydraulic press slider. In order to improve the convergence speed and precision of ILC, a fuzzy ILC algorithm that utilizes the fuzzy strategy to adaptively adjust the iterative learning gains is put forward. The simulation and experimental researches are carried out to investigate the convergence speed and precision of the fuzzy ILC for hydraulic press slider position tracking. The results show that the fuzzy ILC can raise the iterative learning speed enormously, and realize the tracking control of slider displacement curve with rapid response speed and high control precision. In experiment, the maximum tracking error 0.02 V is achieved through 12 iterations only. |
| |
Keywords: | hydraulic press volume control electro-hydraulic servo iterative learning control fuzzy control |
本文献已被 CNKI 维普 万方数据 SpringerLink 等数据库收录! |
|