Hybrid Takagi-Sugeno Fuzzy FED PID Control of Nonlinear Systems

Basil Hamed, Ahmad El Khateb

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

The new method of proportional-integral-derivative (PID) controller is proposed in this paper for a hybrid fuzzy PID controller for nonlinear system. The important feature of the proposed approach is that it combines the fuzzy gain scheduling method and a fuzzy fed PID controller to solve the nonlinear control problem. The resultant fuzzy rule base of the proposed controller contains one part. This single part of the rules uses the Takagi-Sugeno method for solving the nonlinear problem. The simulation results of a nonlinear system show that the performance of a fed PID Hybrid Takagi-Sugeno fuzzy controller is better than that of the conventional fuzzy PID controller or Hybrid Mamdani fuzzy FED PID controller.
Original languageEnglish
Title of host publicationAIP Conference Proceedings
Pages99-102
DOIs
Publication statusPublished - 01 Jun 2008
Externally publishedYes

Keywords

  • Neural networks fuzzy logic artificial intelligence
  • Nonlinear dynamics and chaos
  • Servo and control equipment
  • robots

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