• DocumentCode
    3769971
  • Title

    Improved performance of cart inverted pendulum system using LQR based PID controller and ANN

  • Author

    Sandeep D. Hanwate;Akshit Budhraja;Yogesh V. Hote

  • Author_Institution
    Dept. of Electrical Engg., IIT Roorkee, Roorkee, India
  • fYear
    2015
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In this paper, new approach is proposed for stabilization of a cart inverted pendulum system using Linear Quadratic Regulator (LQR) based PID controller and Artificial Neural Network (ANN). The proposed approach is compared with the recently published approach on designing of PID controller using LQR. It is observed that the proposed design shows better performance and disturbance rejection.
  • Keywords
    "Artificial neural networks","Mathematical model","Neurons","IP networks","Control systems","Robustness","Training"
  • Publisher
    ieee
  • Conference_Titel
    Electrical Computer and Electronics (UPCON), 2015 IEEE UP Section Conference on
  • Type

    conf

  • DOI
    10.1109/UPCON.2015.7456752
  • Filename
    7456752
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3769971