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Akademický článek

Adaptive Control For Mobile Robots Based On Inteligent Controller

Publikováno v: Journal of Applied Science and Engineering, Vol 27, Iss 5, Pp 2481-2487 (2024)

The paper presents three position controller designs for a mobile robot. The first is a position controller using a classic PID controller. The second is the position controller is designed based on optimal three coefficients for PID controller by fu

Externí odkaz: https://doaj.org/article/a9acbd80c6c94de6aaac1793291d927a

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Akademický článek

Active Voltage Control (AVC) for Reducing Three-phase Voltage Fluctuations

Autor: Pham Thi Giang, Nguyen Hoang Duy, Vo Thanh Ha

Publikováno v: Journal of Applied Science and Engineering, Vol 27, Iss 2, Pp 2067-2074 (2023)

The paper presents an active voltage compensator (AVC) to prevent voltage fluctuations on the load in both voltage’s rise and fall directions. This AVC is designed based on modeling a three-phase four-branch inverter according to the large-signal a

Externí odkaz: https://doaj.org/article/b8ac0eae57bf44b6b9ff7340f71e65b7

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Akademický článek

Design, Control, And Development Of An Intelligent Of Waste Sorting System With A Robotic Arm

Autor: Vo Thu Ha, Than Thi Thuong, Vo Thanh Ha

Publikováno v: Journal of Applied Science and Engineering, Vol 26, Iss 9, Pp 1337-1344 (2023)

The paper has presented the control and development of an intelligent garbage sorting system with a robot arm. This system consists of a machine vision block, a 6DOF robot manipulator, and a control unit for sorting garbage based on analytical images

Externí odkaz: https://doaj.org/article/f734b97f54b145ba810fd90503de3707

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Akademický článek

Experimental Research on Avoidance Obstacle Control for Mobile Robots Using Q-Learning (QL) and Deep Q-Learning (DQL) Algorithms in Dynamic Environments

Autor: Vo Thanh Ha, Vo Quang Vinh

Publikováno v: Actuators, Vol 13, Iss 1, p 26 (2024)

This study provides simulation and experimental results on techniques for avoiding static and dynamic obstacles using a deep Q-learning (DQL) reinforcement learning algorithm for a two-wheel mobile robot with independent control. This method integrat

Externí odkaz: https://doaj.org/article/701db692b73f46f691986cb2b6632cc3

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Akademický článek

Experimental Study on Remaining Useful Life Prediction of Lithium-Ion Batteries Based on Three Regression Models for Electric Vehicle Application

Autor: Vo Thanh Ha, Pham Thi Giang

Publikováno v: Applied Sciences, Vol 13, Iss 13, p 7660 (2023)

This paper presents three regression models that predict the lithium-ion battery life for electric cars based on a supervised machine learning regression algorithm. The linear regression, bagging regressor, and random forest regressor models will be

Externí odkaz: https://doaj.org/article/990b5367ff6f49e8b27241eab68bca73

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