Analysis and design of motion control systems with positive force/torque feedback using robust control methods

被引:2
|
作者
Lin, HM [1 ]
McInroy, JE [1 ]
Hamann, JC [1 ]
机构
[1] Univ Wyoming, Dept Elect & Comp Engn, Laramie, WY 82071 USA
关键词
H-infinity control; mobility; mu-synthesis; positive force feedback (PFF); structured singular value; tracking system;
D O I
10.1109/TCST.2005.847340
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Positive force/torque feedback (PFF) can compensate for the detrimental effects of load dynamics and exogenous force/torque disturbances on the tracking performance of motion control systems. With real world nonideal force/torque sensors/actuators, a PFF controller can be designed to accommodate the sensor's/actuator's dynamics and to minimize the impact of load dynamics or external force/torque disturbances upon the motion tracking loop. This brief shows that PFF is an effective method for many practical control problems. It is also shown that the analysis and design of motion control systems with PFF can be put into the p framework and, thus, the tracking controller and the force/torque feedback controller can be synthesized simultaneously using commercially available p tools. Some practical issues, which are independent of design methods, such as the robust stability (RS) of the PFF loop and the bandwidth requirements for the PFF controller, are also discussed. It is concluded that, outside the system's effective tracking bandwidth, it is not wise to use model-based "perfect" PFF for a "big" load due to the lack of robustness of the PFF loop against the actuator uncertainties. Experimental results with a UW hexapod strut show that the mu design method for PFF is promising.
引用
收藏
页码:752 / 759
页数:8
相关论文
共 50 条
  • [31] Robust analysis and PID tuning of cascade control systems
    Tan, W
    Liu, J
    Chen, TW
    Marquez, HJ
    CHEMICAL ENGINEERING COMMUNICATIONS, 2005, 192 (09) : 1204 - 1220
  • [32] A robust approach to iterative learning control design for uncertain systems
    Moon, JH
    Doh, TY
    Chung, MJ
    AUTOMATICA, 1998, 34 (08) : 1001 - 1004
  • [33] Robust observer-based output feedback control for fuzzy descriptor systems
    Liu, Peter
    Yang, Wen-Tsung
    Yang, Chang-En
    EXPERT SYSTEMS WITH APPLICATIONS, 2013, 40 (11) : 4503 - 4510
  • [34] Robust Output Feedback Control of a Class of Discrete Fuzzy Systems: An LMI Approach
    He, Guannan
    Ji, Jing
    PROCEEDINGS OF THE 2012 24TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC), 2012, : 3814 - 3819
  • [35] Robust output feedback control for discrete-time systems with ellipsoidal uncertainty
    Sadeghzadeh, Arash
    Momeni, Hamidreza
    IMA JOURNAL OF MATHEMATICAL CONTROL AND INFORMATION, 2016, 33 (04) : 911 - 932
  • [36] Robust static output feedback control for hidden Markov jump linear systems
    de Oliveira, A. M.
    Costa, O. L., V
    Gabriel, G. W.
    INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 2022, 53 (06) : 1298 - 1316
  • [37] Robust H∞ output feedback control for general nonlinear systems with structured uncertainty
    Wu, JL
    Lee, TT
    JOURNAL OF THE CHINESE INSTITUTE OF ENGINEERS, 2004, 27 (07) : 1069 - 1075
  • [38] Robust H∞ Switched State-feedback Control of Uncertain Linear Systems
    Tello, Ivan F. Y.
    Esteves, Lucas M.
    Cardim, Rodrigo
    Teixeira, Marcelo C. M.
    Assuncao, Edvaldo
    de Oliveira, Diogo R.
    Alves, Uiliam Nelson L. T.
    IFAC PAPERSONLINE, 2018, 51 (25): : 67 - 72
  • [39] Comparison of different robust control methods in design of decentralized UPFC controllers
    Taher, Seyed Abbas
    Hemmati, Reza
    Abdolalipour, Ali
    Akbari, Shahabeddin
    INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2012, 43 (01) : 173 - 184
  • [40] Design of strictly positive real systems using constant output feedback
    Huang, CH
    Ioannou, PA
    Maroulas, J
    Safonov, MG
    IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 1999, 44 (03) : 569 - 573