• DocumentCode
    162391
  • Title

    Study on experimental plant of positioning control solutions for processes with variable moment of inertia

  • Author

    Stinean, Alexandra-Iulia ; Preitl, Stefan ; Precup, Radu-Emil ; Crainic, Marius

  • Author_Institution
    Dept. of Autom. & Appl. Inf., “Politeh.” Univ. of Timisoara, Timişoara, Romania
  • fYear
    2014
  • fDate
    15-17 May 2014
  • Firstpage
    37
  • Lastpage
    42
  • Abstract
    The paper presents a study on the behavior of some positioning control solutions for an electric drive system evolving in conditions of reference and parameter variability. The main variable parameter of the process is the moment of inertia in the context of a system that corresponds to laboratory equipment. The main advantages of the laboratory equipment are the possibility of adjusting the dynamic parameters and the ability to insert and remove the non-ideal properties in a controlled manner. Using a detailed mathematical model of the process and the particular features of the drive system, the paper proposes three control solutions. The developed position controllers are: (1) a classical PID controller, (2) a two-degree-of-freedom controller (2DOF) and (3) a Takagi-Sugeno PD+I fuzzy controller (TS-PD+I-FC). The proposed control solutions are validated by means of experiments on laboratory equipment and have a large applicability in the field of mechatronic systems, where such applications with variable inertia and control system inputs are always present.
  • Keywords
    PD control; electric drives; fuzzy control; inertial systems; position control; three-term control; transfer function matrices; 2DOF; PID controller; TS-PD+I-FC; Takagi-Sugeno PD+I fuzzy controller; control system; dynamic parameters; electric drive system; experimental plant; laboratory equipment; mathematical model; mechatronic systems; parameter variability; position controllers; positioning control solutions; two-degree-of-freedom controller; variable inertia; Drives; Industrial plants; Laboratories; Mathematical model; PD control; Polynomials; Process control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Applied Computational Intelligence and Informatics (SACI), 2014 IEEE 9th International Symposium on
  • Conference_Location
    Timisoara
  • Type

    conf

  • DOI
    10.1109/SACI.2014.6840095
  • Filename
    6840095