A Composite Controller for the Intelligent Rail Bulk Cargo Unloading Device

Xiaoqi Fan, Chao Lu, Xiaodong Lv, Guangming Zhang

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

To address the precise position control and vibration suppression requirements of the intelligent rail bulk cargo unloading device under various application scenarios and multiple disturbances, this paper proposes a composite controller based on Non-Singular Fast Terminal Sliding Mode Control (NFTSMC) and Linear Extended State Observer (LESO) compensation. The device aims to achieve smooth unloading of bulk cargo across diverse scenarios, including low cargo positions, flat cargo positions, and network configurations (full network, half network, and no network), while enabling material handling and transfer during unloading. To handle the uncertainties and complex disturbances introduced by these functional goals, an NFTSMC is designed to ensure fast and accurate tracking of target positions, while the LESO dynamically compensates for unknown disturbances in the system, effectively mitigating the chattering issue of sliding mode control. Simulation results demonstrate that this composite control strategy achieves stable operation of the unloading device under multi-disturbance conditions, significantly enhancing position control accuracy and vibration suppression, thus meeting the complex functional requirements of bulk cargo unloading.

源语言英语
主期刊名2025 International Conference on Electrical Automation and Artificial Intelligence, ICEAAI 2025
出版商Institute of Electrical and Electronics Engineers Inc.
444-448
页数5
ISBN(电子版)9798331506797
DOI
出版状态已出版 - 2025
活动2025 International Conference on Electrical Automation and Artificial Intelligence, ICEAAI 2025 - Guangzhou, 中国
期限: 10 1月 202512 1月 2025

出版系列

姓名2025 International Conference on Electrical Automation and Artificial Intelligence, ICEAAI 2025

会议

会议2025 International Conference on Electrical Automation and Artificial Intelligence, ICEAAI 2025
国家/地区中国
Guangzhou
时期10/01/2512/01/25

指纹

探究 'A Composite Controller for the Intelligent Rail Bulk Cargo Unloading Device' 的科研主题。它们共同构成独一无二的指纹。

引用此