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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
Le, Thi-Hong-Lam
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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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Journal : Journal of Fuzzy Systems and Control (JFSC)

 1 
PID Control for Balancing Bike Model using Reaction Wheel Tran, Thi-Ngoc-Tram; Ho, Thanh-Viet; Nguyen, Huu-Loi; Le, Ngoc-Nam; Tran, Van-Phuc; Tran, Quoc-Bao; Mai, Pham-Phuong; Pham, Ngoc-Duy; Bui, Tien-Phat; Le, Thi-Hong-Lam
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.v2i2.188

Abstract

Motorcycles or bicycles are known as unbalanced systems like the inverted pendulum model. Normally, we must use a handlebar to control the Motorcycles or bicycles. In this paper, the authors propose a PID controller for a balance bike using a reaction wheel. The authors formulated a mathematical model for the system and performed simulation testing using MATLAB to control it. Also, the simulation model of the balance bike system using a reaction wheel has been developed to assess the feasibility of building and controlling the system without relying on its mathematical model. The study will explicitly provide the performance of the PID algorithm in controlling a balanced bike using a reaction wheel.
Experiment Ball Levitation with Fuzzy PID and PID Implementation Nguyen, Hoang-Thuat; Dao, Anh-Quan; Hoang, Van-Phu-Quy; Nguyen, Quyen-Anh; Dang, Truong-Phu; Tang, Minh-Nam; Le, Vu-Huy; Bui, The-Nam-Vuong; Nguyen, Tien-Dung; Le, Thi-Hong-Lam
Journal of Fuzzy Systems and Control Vol. 2 No. 3 (2024): Vol. 2, No. 3, 2024
Publisher : Peneliti Teknologi Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/jfsc.v2i3.221

Abstract

The “Ball Levitation” experiment can be easily recognized, like iFly in Singapore, and is greatly integrated into industrial fields such as flow control systems, aerodynamic testing, the oil and gas industry, HVAC systems, etc. Therefore, it is utilized in university laboratories for student exploration of non-linear control technology. The main objective of this experiment is through the position of the ball which is measured by an ultrasonic sensor to execute the PWM of the blower fan in order to control the speed of one so that the ball can be stabilized consistently at a specific height. Despite its uncomplicated model, the challenge of this model is from non-linear effects on the ball and the intricate physics governing its movement. Moreover, the ball is highly responsive to external influences from the blower fan. Consequently, conventional mathematical control methods struggle to handle it, making the simulation and comparison of control algorithms challenging. A Fuzzy-PID controller is meticulously designed to automatically stabilize the ball's position by considering the PID parameters with pre-defined fuzzy rules due to the actual showcase of the model. This setup allows us to experimentally compare the traditional PID controller with the Fuzzy-PID controller. The results reveal notable differences in the performance characteristics of these controllers.
Experimental Swing-Up Control of Advanced Sliding and Energy-based Modes for Pendubot Tran, Minh-Duy; Trinh, Minh-Phu; Do, Nguyen-Son; Phan, Thai-Chan; Ngo, Tan-Bao-Chau; Nguyen, Viet-Thuan; Ngo, Viet-Dung; Hoang, Ngoc-Quan; Trinh, Tan-Phong; Le, Thi-Hong-Lam
Journal of Fuzzy Systems and Control Vol. 3 No. 1 (2025): Vol. 3, No. 1, 2025
Publisher : Peneliti Teknologi Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/jfsc.v3i1.277

Abstract

This study focuses on the implementation and comparative evaluation of two swing-up control strategies—Energy-Based Methods (EBM) and Advanced Sliding Mode Control (ASMC)—for pendubot, a nonlinear two-link robotic system. While previous research has extensively explored balancing algorithms for this model, swing-up strategies have primarily been analyzed through simulations, with limited application to real-world systems. This research addresses this gap by deploying both EBM and ASMC on a physical pendubot model. Practical results are presented to provide the most accurate evaluation of the control quality of each algorithm.
High Speed Automatic Cartoning Machine Tran, Nguyen-Tuong-Quang; Pham, Quang-Tuan-Vu; Le, Thi-Hong-Lam; Cai, Minh-Hien; Nguyen, Xuan-Khai; Nguyen, Thanh-Phuong; Tran, Dinh-Nguyen; Nguyen, Huu-Thinh; Nguyen, Van-Huu-Nhan; Than, Gia-Huy
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.v3i3.322

Abstract

High-speed automatic cartoning machines are increasingly used in modern manufacturing for enhanced productivity and packaging quality. This study presents the design and implementation of a compact, student-friendly, and cost-effective automatic cartoning system based on the Siemens S7-1200 PLC and advanced motion control techniques. The system includes a stepper motor-driven conveyor, an AC servo for precise positioning, and an automated glue spraying unit, all managed via TIA Portal V17. Experimental evaluation shows the prototype achieves a packaging rate of 10 boxes/min, position accuracy of ±0.4 mm, system cycle time of 2.0 ± 0.3 s, glue application error below 1.2%, mean error recovery time of 3.5 s, machine up-time of 99.1% over 8 hours, user setup time <10 min, and energy consumption of 35W per cycle. Comparison with commercial solutions indicates comparable performance at 40% lower cost. The results confirm the effectiveness of the proposed model for education and suggest potential for further optimization in fault tolerance and mechanical robustness.
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

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.
Co-Authors Bui, The-Nam-Vuong Bui, Tien-Phat Cai, Minh-Hien Cao, Huu-Tai Dang, Truong-Phu Dao, Anh-Quan Dao, Duy-Anh Dieu, Nghia Do, Ngoc-Huy Do, Nguyen-Son Doan, Minh-Tu Ho, Thanh-Phuong Ho, Thanh-Viet Hoang, Minh-Giap Hoang, Ngoc-Quan Hoang, Van-Phu-Quy Huynh, Anh-Tuan Lam, Gia-Bao Lam, Xuan-Minh-Nhat Le, Anh-Quoc Le, Hoang-Lam Le, Hoang-Linh Le, Minh-Thiet Le, Ngoc-Long Le, Ngoc-Nam Le, Quoc-Tuan Le, Thi-Thanh-Hoang Le, Tuan-Kiet Le, Vu-Huy Lieu, Vinh-Hung Mai, Pham-Phuong Ngo, Tan-Bao-Chau Ngo, Viet-Dung Nguyen, Anh-Huy Nguyen, Binh-Hau Nguyen, Duc-Anh-Quan Nguyen, Ha-Thien-Phuc Nguyen, Hai-Thanh Nguyen, Hoang-Quang-Minh Nguyen, Hoang-Thien-Phuc Nguyen, Hoang-Thong Nguyen, Hoang-Thuat Nguyen, Huu-Loi Nguyen, Huu-Thinh Nguyen, Kieu-Vinh Nguyen, Le-Anh-Tuan Nguyen, Le-Hoang-Viet Nguyen, Le-Minh-Kha Nguyen, Minh-Khoa Nguyen, Minh-Tam Nguyen, Ngoc-Hung Nguyen, Phong-Luu Nguyen, Phuc-Loc Nguyen, Phuong-Quang Nguyen, Quang-Khai Nguyen, Quang-Thien Nguyen, Quoc-Thuan Nguyen, Quyen-Anh Nguyen, Thai-Bao Nguyen, Thanh-Binh Nguyen, Thanh-Phuong Nguyen, Thanh-Toan Nguyen, Thi-Ngoc-Thao Nguyen, Tien-Dung Nguyen, Truong-Viet Nguyen, Van-Bac Nguyen, Van-Dong-Hai Nguyen, Van-Hiep Nguyen, Van-Huu-Nhan Nguyen, Viet-Thuan Nguyen, Xuan-Khai Pham, Cong-Hoang-Anh Pham, Gia-Loc Pham, Minh-Tri Pham, Ngoc-Bao Pham, Ngoc-Duy Pham, Quang-Tuan-Vu Pham, Quoc-Huy Pham, Truong-Phuong-Nam Phan, Minh-Nhat Phan, Thai-Chan Phu, Thi-Ngoc-Hieu Phung, Son-Thanh Tang, Minh-Nam Than, Gia-Huy To, Nguyen-Nhut-Huy Tran, Dinh-Nguyen Tran, Duy-Dat Tran, Huu-Nhan Tran, Le-Bao-Luan Tran, Minh-Duy Tran, Ngoc-Huy Tran, Nguyen-Tuong-Quang Tran, Phuoc-Dat Tran, Quang-Huy Tran, Quoc-Bao Tran, Thanh-Tu Tran, Thi-Ngoc-Tram Tran, Trong-Bang Tran, Van-Phuc Tran, Van-Toan Trinh, Minh-Phu Trinh, Tan-Phong Truong, Cong-Tuan Truong, Hoang-Anh Truong, Nhat-Bang Vo, Quoc-Thang Vu, Bao-Huy Vu, Dinh-Minh