JOURNAL ARTICLE

Hybrid Takagi-Sugeno Fuzzy FED PID Control of Nonlinear Systems

Basil HamedAhmad El KhatebHichem AriouiRochdi MerzoukiHadj Ahmed Abbassi

Year: 2008 Journal:   AIP conference proceedings Vol: 1019 Pages: 99-102   Publisher: American Institute of Physics

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.

Keywords:
PID controller Control theory (sociology) Fuzzy logic Nonlinear system Computer science Controller (irrigation) Fuzzy control system Control engineering Temperature control Control (management) Artificial intelligence Engineering Physics

Metrics

4
Cited By
0.40
FWCI (Field Weighted Citation Impact)
14
Refs
0.78
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Fuzzy Logic and Control Systems
Physical Sciences →  Computer Science →  Artificial Intelligence
Advanced Control Systems Design
Physical Sciences →  Engineering →  Control and Systems Engineering
Control and Dynamics of Mobile Robots
Physical Sciences →  Engineering →  Control and Systems Engineering

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