• DocumentCode
    2315111
  • Title

    VHDL-AMS Based Fuzzy Logic Controllers

  • Author

    Jajulwar, Kapil ; Deshmukh, Amol ; Bajaj, P.R. ; Keskar, A.G.

  • Author_Institution
    G.H.Raisoni Coll. of Eng., Nagpur
  • fYear
    2008
  • fDate
    16-18 July 2008
  • Firstpage
    1007
  • Lastpage
    1010
  • Abstract
    The VHDL-AMS based fuzzy logic controller for movement control systems is discussed here. The designs have been carried out in the digital domain with HDL. The basic components of the fuzzy logic controller are designed using VHDL-AMS. The proposed work focuses on control of speed with respect to input parameter such as Alignment & distance with triangular membership functions. This is beneficial for autonomous systems which increases traffic safety and the capacity of a pre-existing road infrastructure. Here distance and tracking control method has been used, which enables a number of autonomous systems to work together. A case study applying this novel method to an movement control system has been investigated to obtain a new type of fuzzy logic membership function with irregular shapes optimized for best performance. This paper presents the movement control of vehicle application, the fuzzy control approach and the design using high-level synthesis.
  • Keywords
    control system CAD; fuzzy control; hardware description languages; VHDL-AMS; autonomous systems; fuzzy logic controllers; high-level synthesis; movement control systems; speed control; tracking control method; triangular membership functions; Control systems; Educational institutions; Engines; Fuzzy control; Fuzzy logic; Fuzzy sets; Hardware design languages; Inference mechanisms; Road safety; Shape control; Fuzzy Logic; Mixed-Domain Modeling; VHDL-AMS;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Emerging Trends in Engineering and Technology, 2008. ICETET '08. First International Conference on
  • Conference_Location
    Nagpur, Maharashtra
  • Print_ISBN
    978-0-7695-3267-7
  • Electronic_ISBN
    978-0-7695-3267-7
  • Type

    conf

  • DOI
    10.1109/ICETET.2008.197
  • Filename
    4580050