Duyệt theo Tác giả "Pham Minh Thao"

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    An artificial intelligence approach for 3-degrees of freedom motion controlling
    (Giao thông vận tải, 2023) Truong Cong My; Pham Minh Thao; Le Dang Khanh
    There are many advantages to using the maritime simulation system for training and developing high-quality human resources, including lowering the cost of training using actual equipment, and lowering the danger of unsafety, ... However, at the moment, Vietnam's maritime simulators are dependent on other nations, which results in a lack of technological autonomy, a lengthy transfer of technology, high expenses, a reduction in national security, … Therefore, there is a lot of interest in developing a home maritime simulation system. With a rotation angle of α = [α1 α2 α3]T from the PLC controlling the DC/Servo system, the motion platform of the marine simulation system is built on the Stewart platform design principle [1]. Due to the use of conventional control methods, this system suffers from a time delay of up to 1200ms, which prevents it from reacting to real-time control. In this paper, we investigate a novel technique for controlling the dynamic model with three degrees of freedom (3 DOF) of a cockpit cabin deck using artificial neural networks. The findings demonstrate that the reaction to real-time control, rotation error, and drive/servo system movement are all greatly improved.