@inproceedings{a8541fc918ea4683ab57dd7904d059dc,
title = "Integral sliding mode based precision motion control for PMLM",
abstract = "In ultra-precision fabrication, permanent magnet linear motor (PMLM) is generally applied thanks to its excellent performance. Thus, it is expected to meet high accuracy and high speed simultaneously. However, it is difficult to reach the goal using the tradition control strategies. In this paper, a novel method is proposed to improve response speed and tracking accuracy, which employs an integral sliding mode controller that switches between PD control and PID control according to the value of tracking errors. Based on the modeling of PMLM, an integral sliding mode controller is constructed, taking the advantages of both PD and PID control. Thus, the closed-loop system could respond rapidly and ideally reduce state error. To optimize the performance of the proposed control strategy, its parameters are adjusted using particle swarm optimization (PSO) algorithm. The validity of the method is verified by simulation under different inputs and constant disturbance in a 1DOF precision stage.",
keywords = "Integral sliding mode control, PMLM, PSO, Ultra precision",
author = "Yang Liu and Hao Luo and Zhile Yang and Zhenxian Fu and Xiaofeng Yang",
note = "Publisher Copyright: {\textcopyright} 2017, Springer Nature Singapore Pte Ltd.; International Conference on Life System Modeling and Simulation, LSMS 2017 and International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2017 ; Conference date: 22-09-2017 Through 24-09-2017",
year = "2017",
doi = "10.1007/978-981-10-6373-2\_66",
language = "英语",
isbn = "9789811063725",
series = "Communications in Computer and Information Science",
publisher = "Springer Verlag",
pages = "663--673",
editor = "Dong Yue and Tengfei Zhang and Chen Peng and Dajun Du and Min Zheng and Qinglong Han",
booktitle = "Intelligent Computing, Networked Control, and Their Engineering Applications - International Conference on Life System Modeling and Simulation, LSMS 2017 and International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2017, Proceedings",
address = "德国",
}