Control-oriented modeling of hydrostatic transmissions using Takagi-Sugeno fuzzy systems

被引:0
|
作者
Schulte, Horst [1 ]
机构
[1] Bosch Rexroth AG, Hydraul, D-89275 Elchingen, Germany
关键词
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Hydrostatic Transmissions, also called hydrostatic gears, have been widely used in mobile machines and off-road vehicles such as wheel loaders, graders or tractors. The hydrostatic transmissions are gears with high power density which offer important advantages like continously variable transmission, maximum tractive force at low speeds and reversing without changing gear. In the industrial practice the transmission output torque, transmission ratio or output speed are usually controlled by model-free PID control methods. This approach results in limited closed-loop bandwidth, limited working efficiency and accuracy due to the high nonlinear characteristic of the plant. This paper presents a control-oriented model of a general hydrostatic transmission as a first step towards a multivariable model-based fuzzy state feedback gain scheduling controller. The controller structure based on parallel distributed compensation scheme (PDC) using Takagi-Sugeno (TS) fuzzy models of the plant. First principles are used to determine the structure of the TS fuzzy model. The applicability of the approach is shown by simulation studies.
引用
收藏
页码:2035 / 2040
页数:6
相关论文
共 50 条
  • [1] Control-oriented modeling of hydrostatic power-split CVTs using Takagi-Sugeno fuzzy models
    Schulte, Horst
    Gerland, Patrick
    PROCEEDINGS OF THE 7TH CONFERENCE OF THE EUROPEAN SOCIETY FOR FUZZY LOGIC AND TECHNOLOGY (EUSFLAT-2011) AND LFA-2011, 2011, : 797 - 804
  • [2] On Control-Oriented Derivation of Takagi-Sugeno Models
    Kroll, Andreas
    AT-AUTOMATISIERUNGSTECHNIK, 2011, 59 (12) : 705 - 719
  • [3] Control-oriented description of large scale wind turbines with hydrostatic transmission using Takagi-Sugeno models
    Schulte, Horst
    2014 IEEE CONFERENCE ON CONTROL APPLICATIONS (CCA), 2014, : 664 - 668
  • [4] Modeling of Takagi-Sugeno fuzzy control design for nonlinear systems
    Tsai P.-S.
    Wu T.-F.
    Hu N.-T.
    Chen J.-Y.
    Wu, Ter-Feng (tfwu@niu.edu.tw), 1600, Computer Society of the Republic of China (28): : 207 - 216
  • [5] Control-Oriented Modelling of Wind Turbines Using a Takagi-Sugeno Model Structure
    Georg, Soeren
    Schulte, Horst
    Aschemann, Harald
    2012 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE), 2012,
  • [6] H∞ control for Takagi-Sugeno fuzzy systems
    Yoneyama, Jun
    Nishikawa, Masahiro
    Katayama, Hitoshi
    Ichikawa, Akira
    International Journal of Systems Science, 2002, 32 (07) : 915 - 924
  • [7] H∞ control for Takagi-Sugeno fuzzy systems
    Yoneyama, J
    Nishikawa, M
    Katayama, H
    Ichikawa, A
    INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 2001, 32 (07) : 915 - 924
  • [8] Identification, modeling and control by means of Takagi-Sugeno fuzzy systems.
    Bortolet, P
    Palm, R
    PROCEEDINGS OF THE SIXTH IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS I - III, 1997, : 515 - 520
  • [9] Takagi-Sugeno fuzzy modeling and chaos control of partial differential systems
    Vasegh, Nastaran
    Khellat, Farhad
    CHAOS, 2013, 23 (04)
  • [10] A separation principle for Takagi-Sugeno control fuzzy systems
    Taieb, N. Hadi
    Hammami, M. A.
    Delmotte, E.
    ARCHIVES OF CONTROL SCIENCES, 2019, 29 (02) : 227 - 245