Adaptively Fuzzy Iterative Learning Control for SRM Direct-drive Volume Control Servo Hydraulic Press

被引：0
|
作者：
Zheng, Jianming [1 ,2 ]
Zhao, Shengdun [3 ]
Wei, Shuguo [3 ]
机构：
[1] Xi An Jiao Tong Univ, Sch Mech Engn, Mobile Postdoctoral Ctr, Xian 710048, Shaanxi, Peoples R China
[2] Xi An Jiao Tong Univ, Sch Mech & Precis Instrument Engn, Xian 710048, Shaanxi, Peoples R China
[3] Xi An Jiao Tong Univ, Sch Mech Engn, Xian 710048, Shaanxi, Peoples R China
来源：
2009 INTERNATIONAL CONFERENCE ON SUSTAINABLE POWER GENERATION AND SUPPLY, VOLS 1-4 | 2009年
基金：
中国博士后科学基金;
关键词：
convergence speed; direct-drive volume control; electro-hydraulic servo; fuzzy control; hydraulic Press; iterative learning control; nonlinearity; open loop; switched reluctance motor; tracking control; ROBOT MANIPULATORS; TRACKING;
D O I：
暂无
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
Hydraulic press as a kind of very important press machining equipment has been widely used in national defense and civilian industry. This paper developed a new kind of hydraulic press that synthesizes the advantages of both hydraulic and SRM (Switched Reluctance Motor) driving technology. Aiming at the serious nonlinearity and time-variability existing in electro-hydraulic servo system of pump-controlled cylinder, the ILC (Iterative Learning Control) method was applied to track the shift curve. The fuzzy strategy was utilized to adjust the iterative learning gain adaptively in order to improve the convergence speed and precision of ILC. The simulation and experimental results show that the iterative learning speed is raised enormously by this method, and tracking of the slider shift curve with high response speed and control accuracy is realized.
引用
收藏
页码：2618 / +
页数：2
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