Apply Neural PID Controller for the Shuttles of Overhead Hoist Transportation Systems Using Railway Structures

Overhead hoist transportation systems (OHTS) have been the focus of global research. A novel approach entails the use of mobile units that are modulated within a railway structure that is equipped with autonomous vehicles that can operate independently and collaborate. Currently, the system exhibits adaptability in a variety of domains, such as industrial, medicinal, and food applications. The shortest path algorithm is typically employed to improve transportation efficacy. Velocity is a critical factor for long-distance railways, as it affects optimization. The objective of this research is to create mobile units that can be operated on a railway structure with a rapid response and a velocity that is simple to regulate, utilizing Neural PID controllers.

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Published
2024-10-17
DOI
https://doi.org/10.1109/atc63255.2024.10908326
Primary Topic
Industrial Technology and Control Systems
Type
article
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article

Apply Neural PID Controller for the Shuttles of Overhead Hoist Transportation Systems Using Railway Structures

Truong Thuy Duy, Vo Tuong Quan
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Industrial Technology and Control Systems
article

Apply Neural PID Controller for the Shuttles of Overhead Hoist Transportation Systems Using Railway Structures

Truong Thuy Duy, Vo Tuong Quan
article en

Abstract

Overhead hoist transportation systems (OHTS) have been the focus of global research. A novel approach entails the use of mobile units that are modulated within a railway structure that is equipped with autonomous vehicles that can operate independently and collaborate. Currently, the system exhibits adaptability in a variety of domains, such as industrial, medicinal, and food applications. The shortest path algorithm is typically employed to improve transportation efficacy. Velocity is a critical factor for long-distance railways, as it affects optimization. The objective of this research is to create mobile units that can be operated on a railway structure with a rapid response and a velocity that is simple to regulate, utilizing Neural PID controllers.

Ho Chi Minh City University of Technology (VN)
Openalex Percentile: Top 65%
Industrial Technology and Control Systems
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