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All Journal Indonesian Journal of Engineering and Science (IJES) Journal of Fuzzy Systems and Control (JFSC) Control Systems and Optimization Letters Scientific Journal of Engineering Research
Nguyen, Van-Dong-Hai
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Aerospace Engineering Automotive Engineering Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering Materials Science & Nanotechnology Mechanical Engineering

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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.
EXPERIMENTAL ANFIS-FUZZY CONTROLLER FOR BALL AND BEAM SYSTEM Le, Tuan-Kiet; Nguyen, Le-Anh-Tuan; Le, Ngoc-Long; Nguyen, Van-Dong-Hai; Le, Thi-Hong-Lam; Le, Thi-Thanh-Hoang; Nguyen, Van-Hiep; Nguyen, Thanh-Binh; Phu, Thi-Ngoc-Hieu; Nguyen, Thi-Ngoc-Thao; Nguyen, Ngoc-Hung; Nguyen, Binh-Hau; Nguyen, Hai-Thanh
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.
Intelligent Control for 2D-Crane System Huynh, Trung-Son; Dinh, Dang-Khoa; Tran, Trong-Bang; Dang, Huu-Loc; Le, Dinh-Nguyen-Phuc; Bui, Hung-Thinh; Le, Hoang-Lam; Nguyen, Thanh-Binh; Nguyen, Van-Hiep; Nguyen, Le-Nhat-Minh; Dang, Thien-Quoc; Nguyen, Ngoc-Hung; Nguyen, Thi-Ngoc-Thao; Pham, Huynh-Duc; Nguyen, Xuan-Tien; Nguyen, Van-Dong-Hai
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.v4i1.350

Abstract

This paper presents an Intelligent Learning-based Control approach for a 2D Crane System, aiming to evaluate the learning capability of various intelligent techniques based on a baseline Fuzzy Logic Controller (FLC). The initial fuzzy controller is designed for position and sway control, while Genetic Algorithm (GA), Artificial Neural Network (ANN), and Adaptive Neuro-Fuzzy Inference System (ANFIS) are employed in simulation to retrain and enhance its performance. Comparative results show that intelligent learning methods can significantly improve system response, reduce overshoot, and increase robustness compared to the original fuzzy controller. Moreover, an experimental setup using the baseline FLC is implemented to verify the practical effectiveness of the fuzzy control approach on a real 2D crane system. The findings highlight the potential of intelligent learning techniques for future real-time implementation.
Co-Authors Bach, Ngoc-Thanh Bui, Hung-Thinh 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 Dang, Huu-Loc Dang, Thien-Quoc Dao, Duc-Nhan Dao, Ngoc-Quy Dao, Viet-Thinh Dinh, Dang-Khoa 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 Huynh, Trung-Son Lai, Anh-Hai Le, Chi-Hai-Duong Le, Chi-Thanh Le, Dinh-Nguyen-Phuc Le, Duc-Chung Le, Duong-Dong Le, Duy-Thinh Le, Hoang-Lam Le, Hoang-Linh Le, Nam-Chau Le, Ngoc-Hai Le, Ngoc-Long Le, Nguyen-Phi-Long Le, Phuc-Truong Le, Quang-Dao Le, Thanh-Tri-Dai Le, Thi-Hong-Lam Le, Thi-Thanh-Hoang Le, Trung-Hieu Le, Tuan-Cuong Le, Tuan-Kiet 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, Hai-Thanh Nguyen, Hoang-Ha Nguyen, Huu-Dat Nguyen, Huy-Bao Nguyen, Huy-Ha Nguyen, Huy-Khai Nguyen, Khanh-Dang Nguyen, Le-Anh-Tuan Nguyen, Le-Cong-Vinh Nguyen, Le-Nhat-Minh 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-Hung 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-Ngoc-Thao 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 Nguyen, Xuan-Tien Pham, Ha-Gia-Bao Pham, Huynh-Duc 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 Phu, Thi-Ngoc-Hieu 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