• DocumentCode
    2533645
  • Title

    Tuning of PID parameters using artificial neural network

  • Author

    Nisha ; Mittal, Avneesh ; Sharma, O.P. ; Dhyani, Nitu ; Sharma, Vijay ; Kapoor, Avinashi ; Saxena, T.K.

  • Author_Institution
    Dept. of Electron., Univ. of Delhi South Campus, New Delhi, India
  • fYear
    2009
  • fDate
    14-16 March 2009
  • Firstpage
    309
  • Lastpage
    312
  • Abstract
    Tuning of the PID controller in a varying environment is extremely difficult. For this purpose one has to use the adaptive PID controller. In the present paper a novel method for fast tuning of the PID controller has been presented and implemented on designed and developed hardware around the 89C51 microcontroller. Varying environment in the very old existing MLW-MK70, former East German bath has been created with the help of two microcontrollers. The artificial neural network (ANN) has been used to tune the PID parameters. The software has been written in Visual BASIC 5.0 language.
  • Keywords
    Visual BASIC; adaptive control; control engineering computing; microcontrollers; neurocontrollers; three-term control; 89C51 microcontroller; MLW-MK70; PID parameter tuning; Visual BASIC5.0 language; adaptive PID controller; artificial neural network; Adaptive control; Artificial neural networks; Automatic control; Hardware; Microcontrollers; Neurons; PD control; Programmable control; Temperature control; Three-term control; Adaptive Control; Artificial Neural Network (ANN); PID; Temperature Controller;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia, Signal Processing and Communication Technologies, 2009. IMPACT '09. International
  • Conference_Location
    Aligarh
  • Print_ISBN
    978-1-4244-3602-6
  • Electronic_ISBN
    978-1-4244-3604-0
  • Type

    conf

  • DOI
    10.1109/MSPCT.2009.5164237
  • Filename
    5164237