An experimental fuzzy logic application of position control using ST52 microcontroller

Position control is required in many industrial applications. In this paper, several control methods; namely servo, fuzzy logic and neuro-fuzzy position controls implemented in ST52 microcontroller and laboratory test results of these methods are introduced. Fuzzystudio3.0 and Adaptive Fuzzy Modeller software packages have been used for the program development. The response of designed control systems to any desired position changes is measured, and the performance and speed for fuzzy, neuro-fuzzy and servo controllers in setting a desired position are examined. The designed software and installation steps are described and structure and listings of the control programs are presented.

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Publication Details

Journal
UNEC journal of engineering and applied sciences
Published
2024-12-26
DOI
https://doi.org/10.61640/ujeas.2024.1208
Primary Topic
Fuzzy Logic and Control Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

An experimental fuzzy logic application of position control using ST52 microcontroller

Mehmet Salih Mamiş, Arif Memmedov, Ömerülfaruk Özgüven
UNEC journal of engineering and applied sciences
Fuzzy Logic and Control Systems
article

An experimental fuzzy logic application of position control using ST52 microcontroller

Mehmet Salih Mamiş, Arif Memmedov, Ömerülfaruk Özgüven
article en

Abstract

Position control is required in many industrial applications. In this paper, several control methods; namely servo, fuzzy logic and neuro-fuzzy position controls implemented in ST52 microcontroller and laboratory test results of these methods are introduced. Fuzzystudio3.0 and Adaptive Fuzzy Modeller software packages have been used for the program development. The response of designed control systems to any desired position changes is measured, and the performance and speed for fuzzy, neuro-fuzzy and servo controllers in setting a desired position are examined. The designed software and installation steps are described and structure and listings of the control programs are presented.

UNEC journal of engineering and applied sciencesVol. 4(2)
Industry, innovation and infrastructure
Openalex Percentile: Top 78%
Fuzzy Logic and Control Systems
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