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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.
Application of Genetic Algorithm for Optimizing Continuous and Discrete PID to Control Antenna Azimuth Position Nguyen, Binh-Hau; Cao, Hoang-Thanh-Tuan; Nguyen, Thai-Toan; Pham, Minh-Duc; Pham, Van-Thuan-Em; Nguyen, Tuan-Anh; Ho, Van-Nguyen; Ngo, Gia-Dat; Tran, Dinh-Nam-Phat; Le, Thanh-Dat; Phan, Cong-Duc-Quyen; Le, Van-Khai; Le, ThiHongLam
Journal of Fuzzy Systems and Control Vol. 2 No. 1 (2024): Vol. 2, No. 1, 2024
Publisher : Peneliti Teknologi Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/jfsc.v2i1.154

Abstract

In the paper, we introduce a continuous and discrete PID optimization method by using genetic algorithm (GA) to analyze and control antenna position – a typical model in control engineering. From analizing kinematic equations of this model, we propose continuous and discrete PID controllers to stabilize it. The control result in the case of the empirically selected K matrix (Kp, Ki, Kd) is compared to the case of the K matrix optimized by GA. From this, we can compare the system's output response with the above continuous and discrete PID controllers. The results show that continuously and discrete optimized PID controllers by GA are better than PIC controllers from empirical test through simulation.
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.
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.
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.
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.