@inproceedings{1eb8b3c1f7ee4021a70a8cb3be970f4b,
title = "Improving a wall-following robot performance with a PID-genetic algorithm controller",
abstract = "A wall-following robot needs a robust controller that navigate robot based on the specified distance from the wall. The usage of PID controller has been successfully minimizing the dynamic error of wall-following robot. However, a manual setting of three unknown parameters of PID-controller often precisely increase instability. Hence, recently there are many approaches to solve this issue. This paper presents an approach to obtaining those PID parameters automatically by utilizing the role of Genetic Algorithm. The proposed method was simulated using MATLAB and tested in a real robot. Based on several experiments results it has been showing the effectiveness of reducing the dynamic error of the wall-following robot.",
keywords = "Genetic Algorithm, PID Controller, PID-GA Controller, Wall-Following Robot",
author = "Heru Suwoyo and Chenwei Deng and Yingzhong Tian and Andi Adriansyah",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 5th International Conference on Electrical Engineering Computer Science and Informatics, EECSI 2018 ; Conference date: 16-10-2018 Through 18-10-2018",
year = "2018",
month = oct,
doi = "10.1109/EECSI.2018.8752907",
language = "English",
series = "International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)",
publisher = "Institute of Advanced Engineering and Science",
pages = "314--318",
editor = "Deris Stiawan and Subroto, {Imam Much Ibnu} and Riyadi, {Munawar A.} and Aditya, {Christian Sri Kusuma} and Zulfatman Has and Anton Yudhana and Minarno, {Agus Eko}",
booktitle = "Proceedings - 2018 5th International Conference on Electrical Engineering Computer Science and Informatics, EECSI 2018",
address = "Indonesia",
}