• DocumentCode
    3536277
  • Title

    Temperature Control Using Intelligent Techniques

  • Author

    Saini, Sanju ; Rani, Sarita

  • Author_Institution
    Deenbandhu Chottu Ram Univ. of Sci. & Technol., Murthal, India
  • fYear
    2012
  • fDate
    7-8 Jan. 2012
  • Firstpage
    138
  • Lastpage
    145
  • Abstract
    This paper presents the comparison of various intelligent techniques used for temperature control of water bath system. Different control schemes namely PID, PID using Genetic Algorithms(GA-PID), Fuzzy Logic Control, Neural Network, Adaptive Neuro-Fuzzy Inference System(ANFIS), and GA-ANFIS have been compared through experimental studies with respect to set-points regulation, ramp-points tracking, influence of unknown impulse noise and large parameter variation. The merits and limitations of each scheme has been brought out. It has been found that the use of advanced techniques such as Artificial Neural Networks (ANN) and GA with the conventional FLC offers encouraging advantages. The superiority of FLC over PID, ANFIS over FLC and GA-ANFIS over other schemes has been highlighted.
  • Keywords
    adaptive control; fuzzy control; genetic algorithms; home automation; inference mechanisms; neurocontrollers; temperature control; three-term control; ANN; GA-ANFIS; GA-PID; adaptive neuro fuzzy inference system; artificial neural networks; fuzzy logic control; genetic algorithms; intelligent techniques; large parameter variation; neural network; ramp-points tracking; set-points regulation; temperature control; unknown impulse noise; water bath system; Fuzzy logic; Genetic algorithms; Mathematical model; Pragmatics; Temperature control; Temperature measurement; PID controller; Water bath temperature control; intelligent techniques;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Computing & Communication Technologies (ACCT), 2012 Second International Conference on
  • Conference_Location
    Rohtak, Haryana
  • Print_ISBN
    978-1-4673-0471-9
  • Type

    conf

  • DOI
    10.1109/ACCT.2012.110
  • Filename
    6168348