Multi-phase iterative learning control for high-order systems with arbitrary initial shifts

被引：4
|
作者：
Chen, Dongjie [1 ]
Xu, Ying [2 ]
Lu, Tiantian [1 ]
Li, Guojun [1 ]
机构：
[1] Zhejiang Police Coll, Basic Courses Dept, Hangzhou 310053, Peoples R China
[2] Hangzhou Xiangyun Informat Technol Co Ltd, Hangzhou 310053, Peoples R China
来源：
MATHEMATICS AND COMPUTERS IN SIMULATION | 2024年 / 216卷
关键词：
Iterative learning control; Initial rectifying; Second -order differential equation; Convergence; MULTIAGENT SYSTEMS; MACHINE;
D O I：
10.1016/j.matcom.2023.09.019
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
Aiming at the second-order tracking system with arbitrary initial shifts, this paper presents a multi-phase iterative learning control strategy. Firstly, utilizing the form of solution of the second-order non-homogeneous linear differential equation with constant coefficients and the initial shifts, we can select the appropriate control gain to ensure that the second-order systems are stable and reach the stable output after a fixed time. Secondly, on the premise that the second-order systems have reached the fixed output, two methods are proposed for rectifying the fixed shift, namely, shifts rectifying control and varied trajectory control. Theoretical analysis shows that the multi-stage iterative learning control strategy proposed in this paper can ensure that the second-order systems achieve complete tracking in the specified interval. Finally, the simulation examples affirm the validation of the designed algorithms.(c) 2023 Published by Elsevier B.V. on behalf of International Association for Mathematics and Computers in Simulation (IMACS).
引用
收藏
页码：231 / 245
页数：15
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