• DocumentCode
    723784
  • Title

    Intelligent proportional trajectory tracking controllers: Using ultra-local model and time delay estimation techniques

  • Author

    Haoping Wang ; Yang Tian ; Shiyan Ni ; Christov, Nicolai

  • Author_Institution
    Sino-French Joint Lab. of Autom. & Signal Process., Nanjing Univ. of Sci. & Technol., Nanjing, China
  • fYear
    2015
  • fDate
    23-25 May 2015
  • Firstpage
    430
  • Lastpage
    435
  • Abstract
    This paper presents a new intelligent proportional control (iPs) for trajectory tracking of nonlinear affine-in control systems with unknown internal dynamics. The referred proposed controller which is based on an ultra-local model and a time-delay estimation technique has a very simple structure and easily to be regulated. Moreover with the systems output feedback, the proposed controller dose not require any knowledge of nonlinear internal dynamics ensuring the trajectory tracking of systems output. Finally, to validate the proposed method, a nonlinear cart system which includes different kind of frictions have been considered to compare with different model free controls of time delay estimation based control (TDEC) and recursive model free control (RMFC), and illustrates its corresponding performance and robustness.
  • Keywords
    delay systems; feedback; intelligent control; nonlinear control systems; trajectory control; intelligent proportional trajectory tracking controllers; nonlinear affine-in control systems; nonlinear cart system; nonlinear internal dynamics; systems output feedback; time delay estimation technique; ultra-local model technique; unknown internal dynamics; Delay effects; Estimation; Friction; Mathematical model; Stability analysis; Trajectory; Intelligent proportional control; Recursive model free control; Time delay estimation; Ultra-local Model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (CCDC), 2015 27th Chinese
  • Conference_Location
    Qingdao
  • Print_ISBN
    978-1-4799-7016-2
  • Type

    conf

  • DOI
    10.1109/CCDC.2015.7161731
  • Filename
    7161731