Article Per Year (5 Year)
p-Index From 2021 - 2026
0.882
P-Index
This Author published in this journals
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, Phong-Luu
Unknown Affiliation
Aerospace Engineering Automotive Engineering Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering Materials Science & Nanotechnology Mechanical Engineering

Published : 5 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 5 Documents
Search

 1 
Adaptive Evaluation of LQR Control using Particle Swarm Optimization for Pendubot Nguyen, Duc-Anh-Quan; Nguyen, Luu-Quang-Thinh; Nguyen, Phong-Luu; Le, Duc-Quy; Lieu, Phu-Thuan-An; Lam, Quang-Buu; Tran, Anh-Thu; Nguyen, Tran-Tien; Pham, Dinh-Luan; Nguyen, Binh-Hau
Journal of Fuzzy Systems and Control Vol. 2 No. 2 (2024): Vol. 2, No. 2, 2024
Publisher : Peneliti Teknologi Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/jfsc.v2i2.203

Abstract

Pendubot is a classical system with high nonlinearity used in researching control algorithms. The Pendubot has a single input and multiple outputs (SIMO) and is under-actuated. In this paper, the focus is on studying the application of the Particle Swarm Optimization (PSO) algorithm to find optimal parameters for the LQR controller. The results obtained by the PSO algorithm will be compared when running with different parameters. Evaluations of the performance when applying the PSO algorithm to find optimal parameters will be drawn based on simulation results in Matlab/Simulink and experimental outcomes with various scenarios.
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.
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.
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.
Co-Authors Dieu, Nghia Ho, Thanh-Phuong Hoang, Minh-Giap Huynh, Anh-Tuan Huynh, Thanh-Tuan Lam, Quang-Buu Lam, Xuan-Minh-Nhat Le, Duc-Quy Le, Hoang-Lam Le, Hoang-Linh Le, Quoc-Tuan Le, Thi-Hong-Lam Lieu, Phu-Thuan-An Nghia, Bui-Duc Nguyen, Anh-Huy Nguyen, Binh-Hau Nguyen, Duc-Anh-Quan Nguyen, Ha-Thien-Phuc Nguyen, Hai-Thanh Nguyen, Huy-Bao Nguyen, Kieu-Vinh Nguyen, Luu-Quang-Thinh Nguyen, Minh-Tam Nguyen, Ngoc-Hung Nguyen, Quang-Thien Nguyen, Thanh-Binh Nguyen, Thi-Ngoc-Thao Nguyen, Tran-Tien Nguyen, Truong-Viet Nguyen, Van-Bac Nguyen, Van-Dong-Hai Nguyen, Van-Hiep Nguyen, Van-Tuan Pham, Dinh-Luan Pham, Gia-Loc Pham, Ngoc-Bao Phan, Anh-Quoc Phung, Son-Thanh Tran, Anh-Thu Tran, Huu-Nhan Tran, Huy-Vu Tran, Quang-Huy Tran, Van-Toan Truong, Nhat-Bang Vo, Kim-Thanh Vu, Bao-Huy