AN FLC-PSO ALGORITHM-CONTROLLED MOBILE ROBOT

Autor: Heru Suwoyo, Yingzhong Tian, Muhammad Hafizd Ibnu Hajar
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Zdroj: Jurnal Ilmiah SINERGI, Vol 24, Iss 3, Pp 177-188 (2020)
Druh dokumentu: article
ISSN: 1410-2331
2460-1217
DOI: 10.22441/sinergi.2020.3.002
Popis: The ineffectiveness of the wall-following robot (WFR) performance indicated by its surging movement has been a concerning issue. The use of a Fuzzy Logic Controller (FLC) has been considered to be an option to mitigate this problem. However, the determination of the membership function of the input value precisely adds to this problem. For this reason, a particular manner is recommended to improve the performance of FLC. This paper describes an optimization method, Particle Swarm Optimization (PSO), used to automatically determinate and arrange the FLC’s input membership function. The proposed method is simulated and validated by using MATLAB. The results are compared in terms of accumulative error. According to all the comparative results, the stability and effectiveness of the proposed method have been significantly satisfied.
Databáze: Directory of Open Access Journals