Hybrid Takagi-Sugeno Fuzzy FED PID Control of Nonlinear Systems

Basil Hamed; Ahmad El Khateb

doi:10.1063/1.2953061

Hybrid Takagi-Sugeno Fuzzy FED PID Control of Nonlinear Systems

Basil Hamed, Ahmad El Khateb

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English
Title of host publication	AIP Conference Proceedings
Pages	99-102
DOIs	https://doi.org/10.1063/1.2953061
Publication status	Published - 01 Jun 2008
Externally published	Yes

Keywords

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

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10.1063/1.2953061

http://adsabs.harvard.edu/abs/2008AIPC.1019...99H

Cite this

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title = "Hybrid Takagi-Sugeno Fuzzy FED PID Control of Nonlinear Systems",

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 = "Neural networks fuzzy logic artificial intelligence, Nonlinear dynamics and chaos, Servo and control equipment, robots",

author = "Basil Hamed and {El Khateb}, Ahmad",

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doi = "10.1063/1.2953061",

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AU - Hamed, Basil

AU - El Khateb, Ahmad

PY - 2008/6/1

Y1 - 2008/6/1

N2 - 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.

AB - 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.

KW - Neural networks fuzzy logic artificial intelligence

KW - Nonlinear dynamics and chaos

KW - Servo and control equipment

KW - robots

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DO - 10.1063/1.2953061

M3 - Conference contribution

SP - 99

EP - 102

BT - AIP Conference Proceedings

ER -

Hybrid Takagi-Sugeno Fuzzy FED PID Control of Nonlinear Systems

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Keywords

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