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Implementation of an interpretable inverse fuzzy control on microcontroller (DC motor case study)


Article Information

Title: Implementation of an interpretable inverse fuzzy control on microcontroller (DC motor case study)

Authors: Juan Contreras, Alcides Ramos, Shirley Urdaneta, Luis Murillo

Journal: ARPN Journal of Engineering and Applied Sciences

HEC Recognition History
Category From To
Y 2023-07-01 2024-09-30
Y 2022-07-01 2023-06-30
Y 2021-07-01 2022-06-30
X 2020-07-01 2021-06-30

Publisher: Khyber Medical College, Peshawar

Country: Pakistan

Year: 2018

Volume: 13

Issue: 9

Language: English

Categories

Abstract

This paper describes the design and implementation of an interpretable inverse fuzzy control for the purpose of controlling permanent magnet DC (PMDC) motor speed. The design of fuzzy controller has been done using MATLAB and Simulink and implemented on an Arduino Uno board. The antecedent fuzzy sets are defined by triangular membership function with 0.5 interpolations avoiding the presence of complex overlapping that happens in other methods. The real-world applicability of the proposed approach is demonstrated by application to control the speed of the motor at a desired value with the possibility of changing it.


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