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All Journal Indonesian Journal of Engineering and Science (IJES) Scientific Journal of Engineering Research
Nguyen, Thanh-Binh
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Energy Engineering Materials Science & Nanotechnology Mechanical Engineering

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PID CONTROL FOR AUTONOMOUS OBJECT-FOLLOWING ROBOT Nguyen, Duc-Bao-Long; Ho, Minh-Khoi; Dao, Anh-Quan; Truong, Nhu-Bao; Nguyen, Thanh-Binh; Nguyen, Quang-Trung; Nguyen, Hoang-Nghia; Nguyen, Dang-Khoi; Le, Quang-Hung; Tran, Ky-Tinh
Indonesian Journal of Engineering and Science Vol. 6 No. 1 (2025): Table of Contents
Publisher : Asosiasi Peneliti Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51630/ijes.v6i1.153

Abstract

This paper presents an experimental study on the PID algorithm applied to a vehicle system that maintains a fixed distance from an object. The research focuses on how changes in PID parameters affect the vehicle's behavior. The system comprises an SRF05 ultrasonic sensor connected to an Arduino, controlling the vehicle is forward and backward movements to follow the object. Through a series of experiments, analyses, and evaluations, the study explores the effectiveness of the PID controller and addresses challenges. The results help identify the optimal PID parameter values for the system systematically.
Integrated Vision-PLC Control Architecture for High-Performance Delta Robot Sorting in Industrial Automation Vo, Kim-Thanh; Nghia, Bui-Duc; Tran, Huy-Vu; Huynh, Thanh-Tuan; Nguyen, Huy-Bao; Nguyen, Phong-Luu; Nguyen, Van-Tuan; Phan, Anh-Quoc; Phung, Son-Thanh; Nguyen, Van-Dong-Hai; Nguyen, Binh-Hau; Nguyen, Van-Hiep; Nguyen, Thanh-Binh
Scientific Journal of Engineering Research Vol. 2 No. 1 (2026): March Article in Process
Publisher : PT. Teknologi Futuristik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64539/sjer.v2i1.2026.337

Abstract

The rapid development of automation and robotics has increased the demand for high-performance industrial systems, in which Delta robots play a crucial role due to their lightweight structure, high speed, and precise positioning capability. This study aims to design, implement, and evaluate a Delta robot-based product classification system integrating PLC S7-1200 control and Machine vision. The proposed system employs a camera to detect object shape, color, and position on a conveyor, while a PC processes the image data and computes the robot’s inverse kinematics before transmitting control commands to the PLC. A hardware model of the Delta robot was designed and fabricated, and a dual-mode control application was developed to monitor and operate the robot in real time. Experimental results demonstrate that the system achieves stable operation, with a classification speed of up to 20 products per minute and an accuracy of approximately 95.7% for picking and placing tasks. The findings confirm the feasibility and effectiveness of integrating vision-based detection with high-speed parallel robot control for industrial sorting applications. The study also provides a foundation for further optimization in processing speed, mechanical design, and advanced image-processing techniques to enhance system performance in practical manufacturing environments.
Co-Authors Dao, Anh-Quan Ho, Minh-Khoi Huynh, Thanh-Tuan Le, Quang-Hung Nghia, Bui-Duc Nguyen, Binh-Hau Nguyen, Dang-Khoi Nguyen, Duc-Bao-Long Nguyen, Hoang-Nghia Nguyen, Huy-Bao Nguyen, Phong-Luu Nguyen, Quang-Trung Nguyen, Van-Dong-Hai Nguyen, Van-Hiep Nguyen, Van-Tuan Phan, Anh-Quoc Phung, Son-Thanh Tran, Huy-Vu Tran, Ky-Tinh Truong, Nhu-Bao Vo, Kim-Thanh