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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
Nguyen, Thi-Ngoc-Thao
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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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 1 
Design and Implementation of an IoT-Enabled Autonomous Fire-Fighting Robot Using Vision-Based Fire Detection Nguyen, Hoang-Thong; Nguyen, Quoc-Thuan; Tran, Phuoc-Dat; Nguyen, Quang-Khai; Le, Thi-Hong-Lam; Nguyen, Le-Minh-Kha; Nguyen, Van-Hiep; Nguyen, Thanh-Binh; Nguyen, Ngoc-Hung; Nguyen, Thi-Ngoc-Thao; Phung, Son-Thanh; Le, Hoang-Lam; Nguyen, Thanh-Toan; Nguyen, Hai-Thanh
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.v3i3.354

Abstract

This paper presents the design and implementation of an IoT-enabled autonomous fire-fighting mobile robot for early hazard detection, remote monitoring, and emergency response. The proposed system integrates real-time deep learning–based fire detection using a YOLO model with fire and gas sensor–based monitoring for IoT-based alert transmission and SLAM-based environmental visualization to form a multifunctional robotic platform capable of performing a sequence of tasks from detection and warning to initial fire response. The robot is capable of autonomous movement with obstacle avoidance, while a 2D SLAM-based mapping module is employed to provide environmental visualization for monitoring and decision support. A mobile application enables remote supervision and control, and real-time alerts are delivered through an IoT platform to enhance situational awareness. Experimental results show that the proposed system achieves a fire detection and response success rate of approximately 70%, with reliable fire recognition and fast response time under indoor testing conditions. The developed robot demonstrates strong potential as a practical solution for improving safety and supporting early-stage fire response in residential and industrial environments.
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.
DESIGN OF AN INTELLIGENT LINE-FOLLOWING AND MAZE-SOLVING ROBOT BASED ON FUZZY LOGIC AND ARDUINO Pham, Truong-Phuong-Nam; Nguyen, Minh-Khoa; Lieu, Vinh-Hung; Nguyen, Thi-Ngoc-Thao; Nguyen, Thanh-Binh; Nguyen, Van-Hiep; Le, Thi-Hong-Lam; Tran, Trong-Bang; Do, Ngoc-Huy; Nguyen, Binh-Hau
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.v7i1.213

Abstract

This paper presents the design and implementation of an intelligent line-following and maze-solving robot based on fuzzy logic and an Arduino platform. The proposed system integrates infrared sensors for line detection, a fuzzy-PID control strategy for motion regulation, and a decision-making algorithm for maze navigation. The control approach was first validated through MATLAB/Simulink simulation and subsequently implemented on a physical robotic prototype. Experimental results conducted on a maze-structured track demonstrate stable line-tracking performance, smooth curve negotiation, accurate intersection handling, and precise stopping at the finish point. The results confirm that the proposed fuzzy-based control strategy enhances tracking accuracy, reduces oscillations, and improves overall robustness, proving its effectiveness and practicality for intelligent mobile robotic applications.
A S7-1200 PLC-BASED MOTION SEAT SYSTEM FOR 3D CINEMA APPLICATIONS Ho, Thanh-Phuong; Dieu, Nghia; Tran, Quang-Huy; Nguyen, Thi-Ngoc-Thao; Le, Thi-Hong-Lam; Nguyen, Phong-Luu; Nguyen, Hai-Thanh; Pham, Gia-Loc; Nguyen, Ha-Thien-Phuc; Tran, Van-Toan; Nguyen, Truong-Viet; Pham, Ngoc-Bao; Nguyen, Van-Bac; Hoang, Minh-Giap
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.v7i1.214

Abstract

Immersive cinematic experiences are becoming increasingly important in enhancing audience satisfaction. By integrating various pneumatic and electrical actuators, a 3D cinema seat system is developed to simulate real-time motion effects such as vibration, lifting, wind blowing, and mist spraying. These effects are synchronized with movie content to improve viewer engagement. In this paper, we present a prototype that utilizes a Siemens S7-1200 PLC as the main controller and a Weinview HMI for interaction. The system's effects are triggered through a scenario-based timeline controlled via ladder logic. Through experimental trials, the model demonstrates high responsiveness and reliability, meeting real-time synchronization requirements. A supervision interface is also designed to allow users to manage effect sequences during playback.
DEVELOPMENT AND IMPLEMENTATION OF THE MOTHER AND CHILD SHUTTLE SYSTEM FOR WAREHOUSE MANAGEMENT AND OPERATION Huynh, Anh-Tuan; Le, Quoc-Tuan; Lam, Xuan-Minh-Nhat; Nguyen, Thi-Ngoc-Thao; Le, Thi-Hong-Lam; Truong, Nhat-Bang; Vu, Bao-Huy; Nguyen, Kieu-Vinh; Tran, Huu-Nhan; Nguyen, Phong-Luu; Nguyen, Binh-Hau; Nguyen, Thanh-Binh; Nguyen, Van-Hiep; Nguyen, Ngoc-Hung
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.v7i1.215

Abstract

The increasing complexity of warehouse operations and the rapid growth of e-commerce demand advanced Automated Storage and Retrieval Systems (AS/RS) that are efficient, flexible, and reliable. This study presents the design and implementation of a Mother and Child Shuttle System integrated with a hybrid communication architecture and an intelligent control interface. The system is developed based on kinematic and dynamic analysis to optimize shuttle motion using an acceleration–constant velocity–deceleration profile, ensuring stable operation and accurate positioning. A block-based control architecture incorporating PLC, sensors, motor drivers, and wireless communication enables coordinated system operation. The hardware prototype, including the Mother Shuttle, Child Shuttle, and storage rack, is successfully constructed and validated under real conditions, demonstrating stable performance and effective component integration. In addition, a user-friendly interface is developed to support real-time monitoring, control, and alarm management, enhancing system reliability and operational safety. The proposed system provides a practical solution for improving efficiency and scalability in modern warehouse automation.
INTELLIGENT FIRE PROTECTION SYSTEM FOR MINI APARTMENT BUILDINGS WITH REMOTE MONITORING AND CONTROL Nguyen, Le-Minh-Quan; Dang, Tran-Gia-Bao; Vo, Binh-An; Hong, Vi-Cuong; Truong, Tuan-Minh; Le, Dinh-Duc-Vinh; Dang, Phuc-Khanh; Nguyen, Quoc-Bao; Le, Xuan-Cuong; Nguyen, Binh-Hau; Nguyen, Thi-Ngoc-Thao; Nguyen, Van-Hai; Nguyen, Huynh-The-Hung; Nguyen, Anh-Tuan; Le, Hoang-Nhat-Huy; Nguyen, Van-Hiep
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.v7i1.216

Abstract

This study presents an integrated fire protection system for space-constrained residential buildings using a Mitsubishi PLC, variable frequency drive, cascade PID control, HMI/SCADA, and an ESP32-based IoT gateway. The system is designed to regulate pipeline pressure and water level during firefighting while enabling local and remote supervision. Experimental validation on an IT-5200 didactic platform shows that the uncontrolled system requires about 42 s to reach the reference level and exhibits significant overshoot. After implementing the cascade strategy with an outer PID level loop and an inner PI pressure loop, the settling time decreases to about 16 s, with negligible overshoot, minimal steady-state error, and improved disturbance rejection. The developed HMI/SCADA supports role-based access, alarm handling, and parameter setting, while the IoT layer enables web monitoring and SMS alerts. The proposed architecture offers a practical and scalable solution for reliable fire protection in cost- and space-constrained building environments.
Trajectory Tracking Controller Design for a One-degree-of-Freedom Robotic Arm using Fuzzy Logic and Neural Controllers Nguyen, Quang-Thien; Nguyen, Anh-Huy; Le, Hoang-Linh; Nguyen, Hai-Thanh; Le, Thi-Hong-Lam; Nguyen, Ngoc-Hung; Nguyen, Van-Hiep; Nguyen, Thanh-Binh; Nguyen, Thi-Ngoc-Thao; Nguyen, Minh-Tam; Nguyen, Phong-Luu; Le, Hoang-Lam; Phung, Son-Thanh
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.v4i1.271

Abstract

The one-degree-of-freedom (1-DOF) robotic arm is a fundamental platform widely used in laboratories for teaching and evaluating position and trajectory control strategies. This paper presents the modeling, simulation, and experimental implementation of a 1-DOF robotic arm system using intelligent control approaches. A Fuzzy Logic Controller (FLC) and a neural network controller (NNC) based on a multi-layer perceptron (MLP) were designed and evaluated in MATLAB/Simulink and implemented in real time on an STM32F4 embedded hardware platform. Both controllers were tested under step and sinusoidal reference inputs, achieving tracking errors below 5°, settling times of approximately 0.1 s (within ±2%), and limited overshoot. Although the neural network successfully reproduced the general control behavior of the FLC, the fuzzy controller demonstrated slightly smoother responses and lower control effort under multi-level step conditions. A primary contribution of this work is the development and validation of a low-cost STM32F4G-based embedded platform for implementing and experimentally evaluating intelligent control algorithms, providing a practical and scalable solution for intelligent control research and laboratory education in universities.
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.
Development of an Automated PCB Inspection, Error Statistics, and Classification System Phan, Truong-Nguyen; Tran, Thi-Ngoc-Tram; Ho, Thanh-Viet; Nguyen, Binh-Hau; Hoang, Minh-Tri; Tran, Hai-Nam; Nguyen, Nhat-Nam; Tran, Nguyen-Cong-Anh; Do, Le-Huu-Tri; Nguyen, Thi-Ngoc-Thao; Tran, Nam-Long; Nguyen, Duong-Thuan; Le, Van-Huy; Nguyen, Van-Tuan; Pham, Huynh-Anh-Tuan
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.v4i1.353

Abstract

In the electronics manufacturing industry, Printed Circuit Boards are critical to electronic devices, and their quality directly affects product performance and reliability. Common assembly defects, such as missing components, misalignment, or wrong parts, must be detected promptly to reduce waste and maintain reputation. In Vietnam, PCB inspection is largely manual, limiting speed, accuracy, and consistency. The system integrates a YOLOv5-based machine vision module for detecting missing and misaligned components, a Siemens S7-1200 PLC for controlling an XY gantry and conveyor system, and a web interface for real-time monitoring. The primary contributions include: a fully integrated cyber-physical prototype suitable for educational and small-scale industrial use; a novel method for component misalignment detection using fiducial-based relative positioning; and seamless communication between vision, control, and HMI modules. Experimental results on two common PCB types, L298N and ULN2003, demonstrate a classification and error detection accuracy of up to 93%. The system achieves a throughput suitable for laboratory and small-batch production, with a positioning accuracy of ±0.5 mm. The system aims to achieve high accuracy, fast processing, and practical applicability in production lines.
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.
Co-Authors Bui, Hong-Nho Bui, Hung-Thinh Bui, Viet-Tien-Dung Dang, Huu-Loc Dang, Phuc-Khanh Dang, Thien-Quoc Dang, Tran-Gia-Bao Dieu, Nghia Dinh, Dang-Khoa Do, Le-Huu-Tri Do, Ngoc-Huy Ho, Thanh-Phuong Ho, Thanh-Viet Hoang, Minh-Giap Hoang, Minh-Tri Hong, Vi-Cuong Huynh, Anh-Tuan Huynh, Trung-Son Lam, Xuan-Minh-Nhat Le, Dinh-Duc-Vinh Le, Dinh-Nguyen-Phuc Le, Hoang-Lam Le, Hoang-Linh Le, Hoang-Nhat-Huy Le, Ngoc-Long Le, Quoc-Tuan Le, Thi-Hong-Lam Le, Thi-Thanh-Hoang Le, Tuan-Kiet Le, Van-Huy Le, Xuan-Cuong Lieu, Vinh-Hung Luong, Hoang-Sang Nguyen, Anh-Huy Nguyen, Anh-Tuan Nguyen, Binh-Hau Nguyen, Duc-Dat Nguyen, Duong-Thuan Nguyen, Ha-Thien-Phuc Nguyen, Hai-Thanh Nguyen, Hoang-Nguyen Nguyen, Hoang-Thong Nguyen, Hung-Ky Nguyen, Huynh-Duc-Anh Nguyen, Huynh-The-Hung Nguyen, Kieu-Vinh Nguyen, Le-Anh-Tuan Nguyen, Le-Minh-Kha Nguyen, Le-Minh-Quan Nguyen, Le-Minh-Tan Nguyen, Le-Nhat-Minh Nguyen, Minh-Khoa Nguyen, Minh-Tam Nguyen, Ngoc-Hung Nguyen, Nhat-Nam Nguyen, Phong-Luu Nguyen, Quang-Khai Nguyen, Quang-Thien Nguyen, Quoc-Bao Nguyen, Quoc-Thuan Nguyen, Thanh-Binh Nguyen, Thanh-Sang Nguyen, Thanh-Toan Nguyen, The-Nhan Nguyen, Tien-Dat Nguyen, Truong-Viet Nguyen, Van-Bac Nguyen, Van-Dong-Hai Nguyen, Van-Hai Nguyen, Van-Hiep Nguyen, Van-Tuan Nguyen, Xuan-Tien Pham, Gia-Loc Pham, Huynh-Anh-Tuan Pham, Huynh-Duc Pham, Huynh-Khanh-Nam Pham, Ngoc-Bao Pham, Truong-Phuong-Nam Phan, Thanh-Binh Phan, Truong-Nguyen Phu, Thi-Ngoc-Hieu Phung, Son-Thanh Tran, Hai-Nam Tran, Huu-Nhan Tran, Nam-Long Tran, Nguyen-Cong-Anh Tran, Nguyen-Thanh-Loc Tran, Phuoc-Dat Tran, Quang-Huy Tran, Thi-Ngoc-Tram Tran, Trong-Bang Tran, Van-Toan Tran, Vo-Minh-Khoa Truong, Nhat-Bang Truong, Tuan-Minh Vo, Binh-An Vu, Bao-Huy