Design of a fuzzy servo-controller

M. S. Ahmed; U. L. Bhatti; F. M. Al-Sunni; M. El-Shafei

doi:10.1016/S0165-0114(00)00121-4

Design of a fuzzy servo-controller

M. S. Ahmed^*, U. L. Bhatti, F. M. Al-Sunni, M. El-Shafei

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

18 Scopus citations

Abstract

A design method of a fuzzy servo-controller for nonlinear plants has been presented. The proposed method is an error feedback scheme, where the controller also receives signals representing the plant operating points. Integrator is used in the control loop to ensure setpoint following, low-frequency disturbance rejection, and to enhance the robustness of the closed-loop system. A training scheme for the fuzzy controller is derived that minimizes the output error between a reference model and the plant. The training is conducted off-line for a class of setpoints conforming to the normal operating condition of the plant. Results of simulation studies are also presented.

Original language	English
Pages (from-to)	231-247
Number of pages	17
Journal	Fuzzy Sets and Systems
Volume	124
Issue number	2
DOIs	https://doi.org/10.1016/S0165-0114(00)00121-4
State	Published - 1 Dec 2001

Keywords

Control theory
Engineering
Optimization

ASJC Scopus subject areas

Logic
Artificial Intelligence

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10.1016/S0165-0114(00)00121-4

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title = "Design of a fuzzy servo-controller",

abstract = "A design method of a fuzzy servo-controller for nonlinear plants has been presented. The proposed method is an error feedback scheme, where the controller also receives signals representing the plant operating points. Integrator is used in the control loop to ensure setpoint following, low-frequency disturbance rejection, and to enhance the robustness of the closed-loop system. A training scheme for the fuzzy controller is derived that minimizes the output error between a reference model and the plant. The training is conducted off-line for a class of setpoints conforming to the normal operating condition of the plant. Results of simulation studies are also presented.",

keywords = "Control theory, Engineering, Optimization",

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AU - Ahmed, M. S.

AU - Bhatti, U. L.

AU - Al-Sunni, F. M.

AU - El-Shafei, M.

PY - 2001/12/1

Y1 - 2001/12/1

N2 - A design method of a fuzzy servo-controller for nonlinear plants has been presented. The proposed method is an error feedback scheme, where the controller also receives signals representing the plant operating points. Integrator is used in the control loop to ensure setpoint following, low-frequency disturbance rejection, and to enhance the robustness of the closed-loop system. A training scheme for the fuzzy controller is derived that minimizes the output error between a reference model and the plant. The training is conducted off-line for a class of setpoints conforming to the normal operating condition of the plant. Results of simulation studies are also presented.

AB - A design method of a fuzzy servo-controller for nonlinear plants has been presented. The proposed method is an error feedback scheme, where the controller also receives signals representing the plant operating points. Integrator is used in the control loop to ensure setpoint following, low-frequency disturbance rejection, and to enhance the robustness of the closed-loop system. A training scheme for the fuzzy controller is derived that minimizes the output error between a reference model and the plant. The training is conducted off-line for a class of setpoints conforming to the normal operating condition of the plant. Results of simulation studies are also presented.

KW - Control theory

KW - Engineering

KW - Optimization

UR - https://www.scopus.com/pages/publications/0035546601

U2 - 10.1016/S0165-0114(00)00121-4

DO - 10.1016/S0165-0114(00)00121-4

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VL - 124

SP - 231

EP - 247

JO - Fuzzy Sets and Systems

JF - Fuzzy Sets and Systems

IS - 2

ER -

Design of a fuzzy servo-controller

Abstract

Keywords

ASJC Scopus subject areas

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