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All Journal Indonesian Journal of Engineering and Science (IJES)
Thi-Ngoc-Thao Nguyen
Ho Chi Minh City University of Technology and Engineering (HCM-UTE), Ho Chi Minh City (HCMC), Vietnam
Energy Engineering Materials Science & Nanotechnology Mechanical Engineering

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DESIGN OF A PID CONTROLLER FOR SPEED OF A CONVEYOR Truong-Nguyen Phan; Huu-Tai Nguyen; Quy-Kien Tran; Trung-Nhan Nguyen; Minh-Thanh Nguyen; Hoang-Danh Vu; Thanh-Toan Nguyen; Nguyen-Quoc-Nam Dang; Duc-Quang-Thai Nguyen; Ba-Anh Le; Van Dong Hai Nguyen; Thi-Ngoc-Thao Nguyen; Hoang-Lam Le
Indonesian Journal of Engineering and Science Vol. 7 No. 2 (2026): Table of Contents: In progress
Publisher : Asosiasi Peneliti Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51630/ijes.v7i2.222

Abstract

This study presents a compact and energy-aware conveyor speed control system designed to maintain stable and precise motor operation. A PID controller is implemented on an Arduino Mega, using encoder feedback and a discrete Kalman filter to reduce measurement noise and improve response smoothness. The system incorporates an H-bridge driver for motor actuation and an LCD module for on-site monitoring, together with a Python-based interface that provides real-time visualization of set speed, actual speed, and transient response via UART communication. Experimental results show that the controller achieves fast response, minimal steady-state error, and low overshoot across various reference speeds. Performance at a fixed 25-rpm setpoint under both no-load and light-load conditions further demonstrates good disturbance tolerance. Overall, the system offers a reproducible, low-cost, and energy-efficient solution suitable for small conveyor applications in educational and prototyping environments.
EXPERIMENTAL ANFIS-FUZZY CONTROLLER FOR BALL AND BEAM SYSTEM Tuan-Kiet Le; Le-Anh-Tuan Nguyen; Ngoc-Long Le; Van-Dong-Hai Nguyen; Thi-Hong-Lam Le; Thi-Thanh-Hoang Le; Van-Hiep Nguyen; Thanh-Binh Nguyen; Thi-Ngoc-Hieu Phu; Thi-Ngoc-Thao Nguyen; Ngoc-Hung Nguyen; Binh-Hau Nguyen; Hai-Thanh Nguyen
Indonesian Journal of Engineering and Science Vol. 7 No. 1 (2026): Table of Contents
Publisher : Asosiasi Peneliti Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51630/ijes.v7i1.206

Abstract

This paper presents the development of an Adaptive Neuro-Fuzzy Inference System (ANFIS) controller for a mid-pivot Ball and Beam system. The nonlinear dynamic model is derived using Euler–Lagrange formulation, followed by DC motor modeling to construct the full state-space system. An ANFIS controller is trained from PID-generated data to enhance adaptability under nonlinear conditions. Simulation and hardware experiments validate the controller’s performance. Results show that the proposed controller can stabilize the system with reasonable accuracy, although overshoot and oscillation remain. Directions for improving intelligent control and hardware design are discussed.
Co-Authors Ba-Anh Le Binh-Hau Nguyen Duc-Quang-Thai Nguyen Hai-Thanh Nguyen Hoang-Danh Vu Hoang-Lam Le Huu-Tai Nguyen Le-Anh-Tuan Nguyen Minh-Thanh Nguyen Ngoc-Hung Nguyen Ngoc-Long Le Nguyen-Quoc-Nam Dang Quy-Kien Tran Thanh-Binh Nguyen Thanh-Toan Nguyen Thi-Hong-Lam Le Thi-Ngoc-Hieu Phu Thi-Thanh-Hoang Le Trung-Nhan Nguyen Truong-Nguyen Phan Tuan-Kiet Le Van Dong Hai Nguyen Van-Dong-Hai Nguyen Van-Hiep Nguyen