• DocumentCode
    582146
  • Title

    SIRMs connected type-2 fuzzy-genetic backing up control of the truck-trailer system

  • Author

    Chengdong, LI ; Xiaolu, Zhang ; Jianqiang, YI

  • Author_Institution
    Sch. of Inf. & Electr. Eng., Shandong Jianzhu Univ., Jinan, China
  • fYear
    2012
  • fDate
    25-27 July 2012
  • Firstpage
    3536
  • Lastpage
    3541
  • Abstract
    Backing up control of the truck-trailer system, which is nonlinear and unstable, is a well-known benchmark for examining the nonlinear control design techniques. This paper presents a single-input-rule-modules (SIRMs) connected type-2 fuzzy logic control scheme for this nonlinear multi-variable system. And, to improve the control performance, genetic algorithms (GAs) are adopted for the optimization of the controller parameters. At last, in order to demonstrate the effectiveness and superiority of the proposed control scheme, simulations and comparisons are given. Simulation results show that the designed fuzzy controller can smoothly achieve backing up control of the truck-trailer from all initial positions. Comparisons with type-1 fuzzy controllers demonstrate that the type-2 fuzzy controller with more parameters can provide better performance.
  • Keywords
    control system synthesis; fuzzy control; genetic algorithms; multivariable control systems; nonlinear control systems; position control; road vehicles; stability; GA; SIRM connected type-2 fuzzy-genetic backing up control; control performance improvement; controller parameter optimization; fuzzy controller design; genetic algorithms; nonlinear control design techniques; nonlinear multivariable system; single-input-rule-modules connected type-2 fuzzy logic control scheme; truck-trailer system; Biological cells; Control systems; Engines; Fuzzy logic; Fuzzy sets; Genetic algorithms; Simulation; Genetic Algorithm; Single Input Rule Module; Truck-trailer System; Type-2 Fuzzy Control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (CCC), 2012 31st Chinese
  • Conference_Location
    Hefei
  • ISSN
    1934-1768
  • Print_ISBN
    978-1-4673-2581-3
  • Type

    conf

  • Filename
    6390536