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All Journal Journal of Fuzzy Systems and Control (JFSC) Scientific Journal of Engineering Research
Nguyen, Binh-Hau
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Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering

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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 Article in Process
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.
Co-Authors Cao, Hoang-Thanh-Tuan Do, Thi-Thuy-Duong Ho, Ho-Anh-Vu Ho, Van-Nguyen Hoang, Anh-Son Hoang, Thi-Quynh-Huong Huynh, Thanh-Tuan Lam, Quang-Buu Le, Duc-Quy Le, Duy-Thinh Le, Thanh-Dat Le, ThiHongLam Le, Van-Khai Lieu, Phu-Thuan-An Nghia, Bui-Duc Ngo, Gia-Dat Nguyen, Duc-Anh-Quan Nguyen, Duc-Hieu Nguyen, Huy-Bao Nguyen, Le-Cong-Vinh Nguyen, Le-Phuc-Khuong Nguyen, Luu-Quang-Thinh Nguyen, Phong-Luu Nguyen, Thai-Toan Nguyen, Thanh-Binh Nguyen, Tran-Tien Nguyen, Tuan-Anh Nguyen, Van-Dong-Hai Nguyen, Van-Hiep Nguyen, Van-Tuan Nguyen, Viet-Truong Pham, Dinh-Luan Pham, Minh-Duc Pham, Van-Thuan-Em Phan, Anh-Quoc Phan, Cong-Duc-Quyen Phung, Son-Thanh Tran, Anh-Thu Tran, Dinh-Nam-Phat Tran, Huy-Vu Tran, Tan-Tai Trung, Mai-Bao Vo, Kim-Thanh