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Journal : Indonesian Journal of Engineering and Science (IJES)

PID-CONTROLLED HUMAN DETECTION ROBOT WITH VISUAL PROCESSING ON ALPHABOT-2 Nguyen, Hoang-Thong; Vo, Quoc-Thang; Le, Minh-Thiet; Truong, Cong-Tuan; Tran, Duy-Dat; Pham, Cong-Hoang-Anh; Cao, Huu-Tai; Lam, Gia-Bao; Truong, Hoang-Anh; Tran, Le-Bao-Luan; Nguyen, Hoang-Quang-Minh; Nguyen, Le-Hoang-Viet; Le, Thi-Hong-Lam
Indonesian Journal of Engineering and Science Vol. 6 No. 2 (2025): Table of Contents
Publisher : Asosiasi Peneliti Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51630/ijes.v6i2.176

Abstract

This paper presents a human detection and alert robot system based on the AlphaBot2 platform and Raspberry Pi. The system employs a camera with a HOG-based human detection algorithm to locate the target within the frame and uses an ultrasonic sensor to measure the distance to the person. Based on the horizontal offset between the person and the frame centre, the PID controller adjusts the speeds of two DC motors to guide the robot smoothly and steadily toward the person. When the robot reaches a predefined distance from the detected human target, a buzzer is triggered. Through experiments, the effectiveness of the image processing and PID algorithm is evaluated, and optimal parameter values are identified for the system.
DESIGN OF A FUZZY CONTROLLER FOR A HEATING FURNACE SYSTEM To, Nguyen-Nhut-Huy; Pham, Quoc-Huy; Le, Anh-Quoc; Doan, Minh-Tu; Pham, Minh-Tri; Tran, Ngoc-Huy; Nguyen, Hoang-Thien-Phuc; Tran, Thanh-Tu; Phan, Minh-Nhat; Nguyen, Phuc-Loc; Dao, Duy-Anh; Nguyen, Thai-Bao; Le, Thi-Hong-Lam
Indonesian Journal of Engineering and Science Vol. 6 No. 2 (2025): Table of Contents
Publisher : Asosiasi Peneliti Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51630/ijes.v6i2.182

Abstract

In thermal process control, conventional methods like PID often struggle to cope with nonlinearities, time delays, and external disturbances. This study presents the design and implementation of a Mamdani-type fuzzy logic controller for temperature regulation in furnace systems. Unlike traditional controllers, fuzzy logic offers flexibility, robustness, and does not require an accurate mathematical model. The proposed controller uses two input variables—temperature error and its rate of change—and one output variable to adjust the TRIAC firing angle, controlling the system's power input. Through MATLAB simulation and hardware implementation with LM35 sensors and TRIAC modules, the fuzzy system demonstrates rapid response, no overshoot, and stable operation across varying setpoints (50°C, 70°C, 90°C). Comparative results highlight the superior performance of fuzzy control over conventional PID, especially in systems with nonlinear behavior and dynamic characteristics. The findings confirm that fuzzy logic is a practical and efficient solution for real-time temperature control applications, offering high adaptability without manual parameter tuning.