Design and Implementation of an Accelerated Error Convergence Criterion for Norm Optimal Iterative Learning Controller

被引：22

作者：

Riaz, Saleem ^{[1
]}

Lin, Hui ^{[1
]}

Akhter, Muhammad Pervez ^{[2
]}

机构：

[1] Northwestern Polytech Univ, Sch Automat, Xian 710072, Peoples R China

[2] Northwestern Polytech Univ, Sch Software & Microelect, Xian 710072, Peoples R China

来源：

ELECTRONICS | 2020年 / 9卷 / 11期

关键词：

iterative learning control (ILC); NOILC; feedback control; PMSM; optimal control; error convergence; piezoelectric motor; SYSTEMS; IDENTIFICATION;

D O I：

10.3390/electronics9111766

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Designing an optimal iterative learning control is a huge challenge for linear and nonlinear dynamic systems. For such complex systems, standard Norm optimal iterative learning control (NOILC) is an important consideration. This paper presents a novel NOILC error convergence technique for a discrete-time method. The primary effort of the controller is to converge the error efficiently and quickly in an optimally successful way. A new iterative learning algorithm based on feedback based on reliability against input disruption was proposed in this paper. The illustration of the simulations authenticates the process suggested. The numerical example simulated on MATLAB@2019 and the mollified results affirm the validation of the designed algorithm.

引用

页码：1 / 15

页数：15

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