مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Persian Verion

Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

video

Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

sound

Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Persian Version

Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

View:

389
Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Download:

0
Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Cites:

Information Journal Paper

Title

AVR System Controlling Using Fuzzy-PID Controller with Optimized Membership Functions

Pages

  39-49

Abstract

 The Automatic Voltage Regulator (AVR) system is one of the important systems in power grids. Proportional – Integral (PI) controller is usually used in industries to control the AVR system. However, to increase the flexibility or improving the performance of the PI controller, fractional order PID (FOPID) or combined PID and fuzzy controllers can be used. A new method for the control of AVR has been proposed in this paper. For this purpose, a Fuzzy-PID controller with Optimized membership functions has been employed. Input membership functions along with gains of Fuzzy-PID controller have been optimized with imperialist competitive algorithm (ICA) to control the AVR system. Optimizations have been done with various fitness functions. To compare, simulations have been carried out by optimized fractional order PID (FOPID) controller, too. Results of simulations have illustrated that the proposed controller has better performance compared to the FOPID controller according to settling time, overshoot, fitness function and the maximum of control signal values in all cases in such a way that the minimum improvement of overshoot, settling time, the maximum value of control signal, and fitness function value have improved 59%, 33%, 65%, and 3%, respectively. Moreover, to verify the robustness of the proposed controller to system uncertainties, simulations have been carried out by changing the parameters of the system. Results of simulations have shown the perfect performance of the proposed controller.

Cites

  • No record.
  • References

  • No record.
  • Cite

    APA: Copy

    Falahati Aliabadi, Saber, & TAHER, SEYED ABBAS. (2022). AVR System Controlling Using Fuzzy-PID Controller with Optimized Membership Functions. COMPUTATIONAL INTELLIGENCE IN ELECTRICAL ENGINEERING (INTELLIGENT SYSTEMS IN ELECTRICAL ENGINEERING), 13(2 ), 39-49. SID. https://sid.ir/paper/961951/en

    Vancouver: Copy

    Falahati Aliabadi Saber, TAHER SEYED ABBAS. AVR System Controlling Using Fuzzy-PID Controller with Optimized Membership Functions. COMPUTATIONAL INTELLIGENCE IN ELECTRICAL ENGINEERING (INTELLIGENT SYSTEMS IN ELECTRICAL ENGINEERING)[Internet]. 2022;13(2 ):39-49. Available from: https://sid.ir/paper/961951/en

    IEEE: Copy

    Saber Falahati Aliabadi, and SEYED ABBAS TAHER, “AVR System Controlling Using Fuzzy-PID Controller with Optimized Membership Functions,” COMPUTATIONAL INTELLIGENCE IN ELECTRICAL ENGINEERING (INTELLIGENT SYSTEMS IN ELECTRICAL ENGINEERING), vol. 13, no. 2 , pp. 39–49, 2022, [Online]. Available: https://sid.ir/paper/961951/en

    Related Journal Papers

  • No record.
  • Related Seminar Papers

  • No record.
  • Related Plans

  • No record.
  • Recommended Workshops






    Move to top
    telegram sharing button
    whatsapp sharing button
    linkedin sharing button
    twitter sharing button
    email sharing button
    email sharing button
    email sharing button
    sharethis sharing button