控制理论(社会学)
弹道
螺旋(铁路)
控制器(灌溉)
重复控制
计算机科学
谐波
跟踪(教育)
信号(编程语言)
转化(遗传学)
理论(学习稳定性)
趋同(经济学)
补偿(心理学)
数学
控制系统
工程类
控制(管理)
物理
数学分析
人工智能
农学
天文
精神分析
心理学
教育学
经济增长
生物化学
生物
基因
程序设计语言
电气工程
化学
机器学习
电压
经济
作者
Zhao Feng,Jie Ling,Min Ming,Wenyu Liang,Kok Kiong Tan,Xiaohui Xiao
出处
期刊:IEEE-ASME Transactions on Mechatronics
[Institute of Electrical and Electronics Engineers]
日期:2020-03-19
卷期号:25 (3): 1634-1645
被引量:22
标识
DOI:10.1109/tmech.2020.2981966
摘要
In this article, a novel signal-transformation-based repetitive controller (STBRC) dedicated to the accurate and fast tracking of spiral trajectory with a time-variant amplitude is proposed and tested. To overcome the requirement of strictly periodic references of conventional repetitive controller, a mapping between spiral trajectory and constant amplitude sinusoid is developed to provide multiple lower gains at the fundamental frequency and its harmonics of the spiral trajectory to ensure zero steady-state errors. The stability of the control method and convergence of steady-state errors are analyzed with a lifted-system representation, respectively, for its time-variant property. Compared with internal model-based controllers for this trajectory, STBRC has the advantages of a simpler structure, fewer parameters, and better performance. The application to a piezoelectric nanopositioning stage verifies the effectiveness of the proposed control method on suppression of cross-coupling errors and improving the tracking performance of high-speed spiral trajectory in comparison with other controllers.
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