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Contact Name
Hari Maghfiroh
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jfsc.journal@gmail.com
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jfsc.journal@gmail.com
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Jl. Empu Sedah No. 12, Pringwulung, Condongcatur, Kec. Depok, Kabupaten Sleman, Daerah Istimewa Yogyakarta 55281, Indonesia
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INDONESIA
Journal of Fuzzy Systems and Control (JFSC)
ISSN : -     EISSN : 29866537     DOI : https://doi.org/10.59247/jfsc.v1i1.24
Journal of Fuzzy Systems and Control is an international peer review journal that published papers about Fuzzy Logic and Control Systems. The Journal of Fuzzy Systems and Control should encompass original research articles, review articles, and case studies that contribute to the advancement of the theory and application of fuzzy systems and control, and their integration with other technologies, such as artificial intelligence, machine learning, and optimization.
Articles 91 Documents
An Enhanced PID-Based Motion Control Framework for Autonomous Line-Following Robot Tran, Nguyen-Thanh-Loc; Bui, Viet-Tien-Dung; Bui, Hong-Nho; Nguyen, Hoang-Nguyen; Nguyen, Thi-Ngoc-Thao; Nguyen, Thanh-Sang; Nguyen, Hung-Ky; Nguyen, Huynh-Duc-Anh; Phan, Thanh-Binh; Luong, Hoang-Sang; Nguyen, Le-Minh-Tan; Tran, Vo-Minh-Khoa; Nguyen, Tien-Dat; Pham, Huynh-Khanh-Nam; Nguyen, Duc-Dat; Nguyen, The-Nhan
Journal of Fuzzy Systems and Control Vol. 4 No. 1 (2026): Vol. 4 No. 1 (2026)
Publisher : Peneliti Teknologi Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/jfsc.v4i1.368

Abstract

PID controller is widely used in automatic control systems because it is simple, reliable, and easy to apply. It is especially suitable for mobile robots, such as line-following robots. The main contribution of this work is an experimental method to tune PID parameters. Instead of using complex algorithms, the parameters are adjusted and tested directly on a real robot. This makes the method easier to apply, especially for low-cost and educational systems. Experiments were conducted to evaluate how PID parameters (Kp, Ki, and Kd) affect the robot’s performance. The robot was tested on different paths, including straight lines, curves, and 90-degree turns. The results show that the optimal parameters are Kp = 65, Ki = 0.1, and Kd = 13. With these values, the robot moves smoothly, responds quickly, and follows the path accurately.

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