Iterative Learning Control for Nonlinear Weighing and Feeding Process

被引：2
|
作者：
An, Jianqi [1 ,2 ,3 ]
You, Fayang [1 ,2 ]
Wu, Min [1 ,2 ]
She, Jinhua [1 ,2 ,3 ]
机构：
[1] China Univ Geosci, Sch Automat, Wuhan 430074, Hubei, Peoples R China
[2] Hubei Key Lab Adv Control & Intelligent Automat C, Wuhan 430074, Hubei, Peoples R China
[3] Tokyo Univ Technol, Sch Engn, Tokyo 1920982, Japan
来源：
MATHEMATICAL PROBLEMS IN ENGINEERING | 2018年 / 2018卷
基金：
日本学术振兴会; 中国国家自然科学基金;
关键词：
VIBRATORY CONVEYOR; DESIGN; FEEDER;
D O I：
10.1155/2018/9425902
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
Due to the nonlinear dynamics in weighing and feeding process, it is difficult to achieve high accuracy with conventional control methods. This paper uses a piecewise linearization method for the nonlinear problem and discusses the application of iterative learning control in weighing and feeding process. First, the nonlinear problem and the repeatability are discussed based on dynamic analysis of weighing and feeding process. Next, a linear state space model is established with a piecewise linearization method. Then, an iterative learning controller is presented by utilizing repetitive characteristics, and the controller parameters are obtained by using a multi-objective optimization method. Finally, simulation results show that the presented control method improves the control performances and the accuracy of feeding.
引用
收藏
页数：9
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