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PLC–SCADA Based Control of Booster Pumps with Alternating Operation and PID Regulation Nguyen, Viet-Truong; Hoang, Anh-Son; Nguyen, Van-Dong-Hai; Hoang, Thi-Quynh-Huong; Ho, Ho-Anh-Vu; Tran, Tan-Tai; Trung, Mai-Bao; Nguyen, Le-Cong-Vinh; Do, Thi-Thuy-Duong; Nguyen, Binh-Hau; Nguyen, Le-Phuc-Khuong; Nguyen, Duc-Hieu; Le, Duy-Thinh
Journal of Fuzzy Systems and Control Vol. 3 No. 3 (2025): Vol. 3 No. 3 (2025)
Publisher : Peneliti Teknologi Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/jfsc.v3i3.336

Abstract

In the current context, the demand for clean water in daily life and in industrial environments is increasing, showing that the need for improved operation of water supply systems as well as management efficiency is essential. The pressure pump system is one of the important factors that help improve the stability of the water supply demand. The system helps ensure the quality of the water supply, has the function of maintaining stable pressure in the pipeline, avoiding sudden pressure changes that damage equipment, causing unsafe incidents at the operating site, and for users. This paper presents an experimental study on a booster pump system model integrated with programmable logic controller (PLC) and supervisory control and data acquisition (SCADA) technologies, along with a human-machine interface (HMI), to automate operation, alternate pump operation, apply proportional integral derivative (PID) control without an expansion tank, and monitor the system without manual or semi-automatic intervention. Based on the experiment and evaluation methods, the study shows the potential for improving the pressure pump system in the wastewater treatment and domestic water supply industry.
A Study of Autonomous Mobile Robot Doan, Nam-Long; Dao, Viet-Thinh; Nguyen, Hoang-Ha; Luong, Pham-Kien-Quoc; Nguyen, Tran-Thanh-Thuy; Ho, Quang-Thuan; Nguyen, Thai-Duong; Nguyen, Khanh-Dang; Nguyen, Binh-Hau Nguyen; Nguyen, Anh-Duc; Nguyen, Phuong-Quang; Vo, Viet-Khoi; Nguyen, Van-Dong-Hai
Journal of Fuzzy Systems and Control Vol. 3 No. 3 (2025): Vol. 3 No. 3 (2025)
Publisher : Peneliti Teknologi Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/jfsc.v3i3.337

Abstract

With the rapid development of Industry 4.0, automation in production and operations is an important factor to optimize the production process. One of the most important technologies is autonomous mobile robots (AMR). The use of AMR in factories, workshops, and warehouses is becoming more and more popular. Flexibility in production helps companies better meet customer needs and increase productivity without incurring costs and wasting resources. In this study, we present the design and fabrication of an AMR vehicle system for factory environments. The system is developed on Ubuntu and the robot operating system (ROS). Innovation of AMR in our project is to emphasize the change when integrating a ROS-based distributed architecture, in which a separate embedded controller (Raspberry Pi 4 embedded computer) handles real-time control, and a localization and mapping (SLAM) task processor, along with the Navigation Stack package, is used for remote mapping and navigation. Industrial floors are often full of obstacles, so a powerful LiDAR filter and a robust SLAM pipeline are needed to improve mapping accuracy and collision avoidance. This is certainly a promising solution, while current research on autonomous mobile robots usually focuses on navigation and does not incorporate mechanical lifting mechanisms for material handling, we also improve the communication protocol to enhance system performance. Experiments show that the system can automatically position, meet scalability, improve real-time performance, and enable robots to lift/lower objects within the same ROS system, which is suitable for real-world warehouse and factory applications.
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
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.
Real-Time Trajectory Tracking Control of a DC Motor Using a Self-Tuning Regulator with Online Parameter Estimation Nguyen, Quang-Thien; Le, Hoang-Linh; Nguyen, Anh-Huy; Nguyen, Duc-Anh-Quan; Nguyen, Van-Dong-Hai; Nguyen, Minh-Tam; Nguyen, Van-Hiep; Nguyen, Thanh-Binh; Nguyen, Phuong-Quang; Le, Thi-Hong-Lam; Nguyen, Binh-Hau; Vu, Dinh-Minh
Control Systems and Optimization Letters Vol 4, No 1 (2026)
Publisher : Peneliti Teknologi Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/csol.v4i1.270

Abstract

An adaptive Self-Tuning Regulator (STR) is developed for DC motor control to address performance degradation caused by load disturbances and parameter uncertainties. The method combines online system identification using recursive least squares (RLS) with automatic controller retuning in discrete time. The motor dynamics are continuously estimated and used to update the controller parameters through a pole-placement (or minimum-variance) design, thereby maintaining the desired closed-loop response without manual gain adjustment. The STR is implemented in real time and tested under speed reference changes and varying load torque. Results confirm that the proposed approach enhances tracking performance and disturbance rejection compared with conventional fixed-gain control, making it suitable for practical DC drive systems operating under changing conditions.
Co-Authors Bach, Ngoc-Thanh Bui, Minh-Nguyen-Bao Bui, Ngoc-Liem Bui, Quoc-Duy Bui, Viet-Hoang Chu, Gia-Huy Cu, Minh-Phuoc Dam, Thuan-An Dang, Dinh-Khoi Dao, Duc-Nhan Dao, Ngoc-Quy Dao, Viet-Thinh Dinh, Le-Hai-Duong Do, Thi-Thuy-Duong Do, Tien-Phat Do, Truong-Giang Doan, Nam-Long Doan, Phuong-Tu Duong, Hoang-Viet-Phuc Ha, Van-An Ho, Ho-Anh-Vu Ho, Ngoc-Thinh Ho, Quang-Thuan Hoang, Anh-Son Hoang, Dai-Phuc Hoang, Tan-Dat Hoang, Thi-Quynh-Huong Huynh, Hoang-Tien-Phat Huynh, Minh-Tuan Huynh, Nhat-Truong Huynh, Phuc-Hoang Huynh, Thanh-Do Huynh, Thanh-Tuan Huynh, Tran-Phuong Lai, Anh-Hai Le, Chi-Hai-Duong Le, Chi-Thanh Le, Duc-Chung Le, Duong-Dong Le, Duy-Thinh Le, Hoang-Linh Le, Nam-Chau Le, Ngoc-Hai Le, Nguyen-Phi-Long Le, Phuc-Truong Le, Quang-Dao Le, Thanh-Tri-Dai Le, Thi-Hong-Lam Le, Trung-Hieu Le, Tuan-Cuong Le, Van-Truong Luong, Pham-Kien-Quoc Luong, The-Duy Nghia, Bui-Duc Ngo , Van-Quy-Hai Ngo, Trinh-Anh-Tuan Ngo, Van-Thiet Nguyen, Anh-Duc Nguyen, Anh-Huy Nguyen, Ba-Chinh Nguyen, Binh-Hau Nguyen, Binh-Hau Nguyen Nguyen, Dong-Khang Nguyen, Duc-Anh-Quan Nguyen, Duc-Hieu Nguyen, Duc-Huy Nguyen, Duy-Phat Nguyen, Gia-Thinh Nguyen, Hoang-Ha Nguyen, Huu-Dat Nguyen, Huy-Bao Nguyen, Huy-Ha Nguyen, Huy-Khai Nguyen, Khanh-Dang Nguyen, Le-Cong-Vinh Nguyen, Le-Phuc-Khuong Nguyen, Le-Thanh-Dat Nguyen, Manh-Cuong Nguyen, Minh-Hanh Nguyen, Minh-Khoa Nguyen, Minh-Quan Nguyen, Minh-Tam Nguyen, Ngoc-Kien Nguyen, Pham-Minh-Duc Nguyen, Phong-Luu Nguyen, Phu-Tan Nguyen, Phuoc-Khanh Nguyen, Phuong-Quang Nguyen, Quang-Thien Nguyen, Tai-Tue Nguyen, Thai-Duong Nguyen, Thanh-Binh Nguyen, Thanh-Tung Nguyen, Thi-Y-Nhi Nguyen, Tran-Minh-Nguyet Nguyen, Tran-Quoc-Tuan Nguyen, Tran-Thanh-Thuy Nguyen, Trong-Phung Nguyen, Trong-Tin Nguyen, Trung-Nghia Nguyen, Trung-Thang Nguyen, Van-Hiep Nguyen, Van-Tuan Nguyen, Viet-Nhat-Long Nguyen, Viet-Truong Pham, Ha-Gia-Bao Pham, Nguyen-Phat Pham, Phi-Hung Pham, Truong-Phuong-Nam Phan, Anh-Quoc Phan, Hien-Dat Phan, Nguyen-Bao-Long Phan, Viet-Thanh Phu, Huynh-Manh-Trien Phung, Son-Thanh Tong, Gia-Dat Tran, Chi-Anh Tran, Gia-Huy Tran, Huy-Vu Tran, Kim-Huy Tran, Nhat-Cuong Tran, Tan-Tai Tran, Thanh-Son Tran, Thi-Xuan-Hy Tran, Trong-Bang Tran, Vo-Hoang-Lap Trinh, Quang-Huy Trinh, The-Nam-Chau Trung, Mai-Bao Vo, Dinh-Hieu Vo, Duy-Phuc Vo, Hoai-An Vo, Kim-Thanh Vo, Thanh-Son Vo, Viet-Khoi Vu, Dinh-Dung Vu, Dinh-Minh