Modified Frequency-Domain-Based Iterative Learning Control for 2-D Discrete Systems

被引：0
|
作者：
Wan, Kai [1 ]
机构：
[1] Huizhou Univ, Sch Elect Informat & Elect Engn, Huizhou 516007, Peoples R China
来源：
IEEE ACCESS | 2024年 / 12卷
基金：
中国国家自然科学基金;
关键词：
Frequency-domain analysis; Convergence; Trajectory; Time-domain analysis; Radar tracking; Matrix decomposition; Iterative learning control; Bandwidth; Trajectory tracking; Target tracking; Iterative learning control (ILC); 2-D discrete systems; iteration-dependent desired trajectory; modified frequency-domain P-type ILC law; extended HOIM-based ILC law; ADAPTIVE ILC; MODEL; LENGTHS; DESIGN; FMM;
D O I：
10.1109/ACCESS.2024.3519416
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In the existing time-domain based iterative learning control (ILC) results for 2-D discrete systems, iteration-independent boundary states/errors do not have an impact on the complete convergence of P-type and high-order ILC laws. However, it does affect the ILC convergence characteristics in the frequency domain. This paper first investigates the frequency-domain ILC tracking problem for 2-D discrete systems with different boundary states/errors. A modified frequency-domain P-type ILC law is proposed and a frequency-domain based convergence condition can be derived through the rigorous mathematical proof. Extension to iteration-dependent desired trajectory in the frequency domain described by a high-order internal model (HOIM) is discussed and correspondingly, the extended HOIM-based ILC law is designed. Two simulation examples are provided to verify the effectiveness and feasibility of the proposed modified frequency-domain P-type ILC law and extended HOIM-based ILC law. Lastly, some comparison results on a practical dynamical process are presented.
引用
收藏
页码：194412 / 194422
页数：11
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