@inproceedings{b5c66697507f4b0484d6d924f3fd3ead,
title = "Integral Sliding Mode Observer-Based Adaptive Output Feedback Control for PMLSMs",
abstract = "This paper proposes an adaptive output feedback trajectory tracking control scheme for permanent magnet linear synchronous motors (PMLSMs). An integral sliding mode observer (ISMO) is developed to simultaneously estimate lumped disturbances and velocity state without requiring disturbance differentiability and velocity measurement. A command filter backstepping control (CFBC) strategy replaces derivative operations in conventional backstepping designs, with a compensation mechanism introduced for filter errors, simplifying the controller design and improving tracking performance. In addition, an adaptive law is designed to update model parameters online, enhancing robustness and adaptability. Experiments are conducted on an iron-core PMLSM platform and results show that the proposed method achieves superior tracking performance.",
keywords = "PMLSM, command filter, integral sliding mode observer, output feedback, parameter adaptive",
author = "Zhongjin Zhang and Zhitai Liu and Weiyang Lin and Mengmeng Hu and Changlin Wen",
note = "Publisher Copyright: {\textcopyright} 2025 IEEE.; 51st Annual Conference of the IEEE Industrial Electronics Society, IECON 2025 ; Conference date: 14-10-2025 Through 17-10-2025",
year = "2025",
doi = "10.1109/IECON58223.2025.11221959",
language = "英语",
series = "IECON Proceedings (Industrial Electronics Conference)",
publisher = "IEEE Computer Society",
booktitle = "IECON 2025 - 51st Annual Conference of the IEEE Industrial Electronics Society",
address = "美国",
}