Iterative Learning Control for Nonlinear Weighing and Feeding Process

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 pr...

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Bibliographic Details
Published in:Mathematical problems in engineering 2018-01, Vol.2018 (2018), p.1-9
Main Authors: She, Jinhua, Wu, Min, You, Fayang, An, Jianqi
Format: Article
Language:English
Subjects:
Accuracy
Batch processes
Computer simulation
Control methods
Engineering
Feeding
Iterative methods
Learning
Linearization
Methods
Multiple objective analysis
Neural networks
Nonlinear control
Nonlinear dynamics
State space models
Weighing
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Summary: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.
ISSN:1024-123X
1563-5147
DOI:10.1155/2018/9425902