Backstepping Adaptive Control of NC Tool Crossbeam Magnetic Levitation System

被引:0
作者
Liu, Chunfang [1 ]
Chi, Qingguang [1 ]
Wang, Limei [1 ]
Guo, Qingding [1 ]
机构
[1] Shenyang Univ Technol, Sch Elect Engn, Shenyang, Peoples R China
来源
MANUFACTURING SCIENCE AND TECHNOLOGY, PTS 1-8 | 2012年 / 383-390卷
关键词
Magnetic Levitation System; K Filter; Adaptive Control; Backstepping;
D O I
10.4028/www.scientific.net/AMR.383-390.1781
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
At the moving crossbeam levitation system of the gantry NC machine tool, backstepping adaptive mode control was proposed to achieve the high precision and steady levitation of the gap due to the effect of the cutting force on magnetic levitation system. Considering that the speed state variable is nonmeasurable, a state filter K was designed to estimate the parameter on line. And then the adaptive backstepping controller is designed for the nonlinear magnetic levitation system. The system can achieve the global trajectory tracking of the output because of its unique structure and the capacity to the system disturbance, while all the signals of this closed-loop system can remain bounded via the Lyapunouv theory. The simulation results show this method can keep the stability of levitation system. Meantime, this controller has powerful ability of suppressing disturbance and high rigidity.
引用
收藏
页码:1781 / 1786
页数:6
相关论文
共 9 条
  • [1] [陈慧星 CHEN Huixing], 2008, [中国电机工程学报, Proceedings of the Chinese Society of Electrical Engineering], V28, P148
  • [2] Chen Pin-Cheng, 2009, FUSION FDN METHODOLO, V13, P308
  • [3] Chen Yu, 2007, ACTA AERONAUTICA AST, V28, P141
  • [4] Ciliz M. K., 2007, CIRCUITS SYSTEMS SIG, V26, P585
  • [5] Clerk Maxwell J., 1892, A Treatise on Electricity and Magnetism, V2, P68
  • [6] Low-bias control of AMB subject to voltage saturation: State-feedback and observer designs
    Tsiotras, P
    Arcak, M
    [J]. IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 2005, 13 (02) : 262 - 273
  • [7] Xie Xuejun, 2005, CONTROL DECISION, V20, P760
  • [8] Zhang Chun-peng, 2004, Control and Decision, V19, P267
  • [9] Zhang Kai, 2007, Chinese Journal of Mechanical Engineering, V43, P220, DOI 10.3901/JME.2007.06.220