• DocumentCode
    685783
  • Title

    Application of hybrid modeling and control technique to a non linear hybrid system

  • Author

    Ravi, V.R. ; Thyagarajan, T.

  • Author_Institution
    Dept. of Electron. & Instrum. Eng, Velammal Eng. Coll., Chennai, India
  • fYear
    2013
  • fDate
    12-14 Dec. 2013
  • Firstpage
    660
  • Lastpage
    666
  • Abstract
    This paper presents a newer modeling and control implementation technique using multi state model approach for Two Tank Hybrid System (TTHS) which is a benchmark for nonlinear hybrid system. This class of hybrid system is a collection of subsystems defined on different sub-space, which are related by a switching logic. The MATLAB Simulink and Stateflow tools are used to formulate the multi state models and switching logic for TTHS. Three cases namely TTHS with single PID controller which is designed based on single linearized model, TTHS with as many PID controllers which are designed based on multiple linearized models and TTHS with as many PID controllers which are designed based on multi state model framework are considered. The real coded Genetic Algorithm is used to obtain the optimal PID control settings in all the three cases. The performances of the proposed PID control scheme based on multi state model framework using simulation on a TTHS are presented. The advantages of TTHS with PID control scheme based on multi state model approach over the other two cases are highlighted.
  • Keywords
    control system synthesis; genetic algorithms; linearisation techniques; nonlinear control systems; three-term control; Matlab Simulink; Stateflow tools; TTHS; control implementation technique; hybrid system modelling; multiple linearized models; multistate model framework; nonlinear hybrid system; real coded genetic algorithm; single PID controller design; single linearized model; switching logic; two tank hybrid system; Decision support systems; Handheld computers; Multi model control; Multi state models; Non linear hybrid system; Two Tank Hybrid System; real coded Genetic Algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Green Computing, Communication and Conservation of Energy (ICGCE), 2013 International Conference on
  • Conference_Location
    Chennai
  • Type

    conf

  • DOI
    10.1109/ICGCE.2013.6823518
  • Filename
    6823518