Dynamic Modeling and Robust Controller Design for Air Motor

被引:2
|
作者
LinHsu, Lin [1 ,2 ]
JiaYush, Yen [2 ]
机构
[1] De Lin Inst Technol, Dept Mech Engn, Taipei 236, Taiwan
[2] Natl Taiwan Univ, Dept Mech Engn, Taipei 236, Taiwan
关键词
Air motor; Robust control; Nonlinear system;
D O I
10.1109/CHICC.2008.4605489
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper applies robust control strategies to an air motor system. Due to the nonlinear characteristics of this system; a robust controller is designed to provide the robust performance. The study is carried out in three parts. Firstly, system identification using experimental data is applied to determine the parameters of the air motor system model. The nonlinear system model of the air motor system is modefed as a linear system model with the multiplicative uncertainty. Secondly, H-infinity control techniques are used to design a H-infinity controller to deal with the system uncertainty and robust performance requirement. Finally, the designed robust controller is implemented to control the rotational speed of the air motor. The results of the simulation and the experiment demonstrate that the proposed controller has high feasibility and good robustness.
引用
收藏
页码:748 / +
页数:2
相关论文
共 10 条
  • [1] Doyle J.C., 2013, Feedback Control Theory
  • [2] KEMIN Z, 1998, ESSENTIAL ROBUST CON
  • [3] MARUMO R, 2004, INTELLIGENT MODELING, P1163
  • [4] MARUMO R, 2004, NEURAL MODEL REFEREN, P467
  • [5] Pandian SR, 1999, ICRA '99: IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION, VOLS 1-4, PROCEEDINGS, P518, DOI 10.1109/ROBOT.1999.770029
  • [6] Pandian SR, 1998, BATH WORKSHOP ON POWER TRANSMISSION AND MOTION CONTROL, P363
  • [7] SHEARER JJ, 1965, ASME T, P233
  • [8] SHEARER JJ, 1954, THESIS MIT
  • [9] Takemura F, 2000, 2000 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS 2000), VOLS 1-3, PROCEEDINGS, P209, DOI 10.1109/IROS.2000.894606
  • [10] WANG J, 1996, P UKACC INT C CONTR, P90