未登录

返回

A robust framework based on symbolic regression to develop controllers for crystallization processes

2026-03-21

0

PRE

AI

Fernando Arrais Romero Dias Lima *

Marcellus G.F. de Moraes

M. Enis Leblebici

Argimiro R. Secchi

Mauricio Bezerra de Souza

Idelfonso B.R. Nogueira

DOI：10.1016/j.jprocont.2026.103700

原文求助

收藏

摘要

En 中文

本研究介绍了符号回归用于结晶过程控制，提出了一种用于控制器开发的稳健方法。符号回归生成一个方程，用于根据温度、过饱和度和误差测量值计算最优控制作用。该方法在乙醇中的对乙酰氨基酚批次结晶过程中进行了测试，通过调节温度来调控质量收率和晶粒尺寸。其性能与非线性模型预测控制器（NMPC）进行了比较，NMPC使用人口平衡模型（PBM）作为内部模型，并与一个使用相同数据集训练的前馈神经网络进行了比较。所有方法均实现了成功控制，但机器学习方法所需的计算成本更低。考虑到扰动、过程模型失配和噪声，符号回归通过较少的温度变化将变量维持在设定点附近。

Keyword:

symbolic regression

crystallization control

model predictive control

machine learning

process optimization

期刊

Journal of Process Control

IF:

3.9

论文数:

3.5K

被引数:

7.3K

机构

U

university of sao paulo

学者数:

3.0K

论文数: 1.2K

被引数: 0

U

universidade federal do rio de janeiro

学者数:

1.3K

论文数: 476

被引数: 0

K

学者数:

7.4K

论文数: 3.1K

被引数: 1

N

norwegian university of science and technology

学者数:

1.6K

论文数: 828

被引数: 1

查看更多机构

引用论文

Using MC plots for control of paracetamol crystallization

CHEMICAL ENGINEERING SCIENCE

IF4.3

2017-06-01

15

OAAI

Griffin, Daniel J.; Kawajiri, Yoshiaki; Rousseau, Ronald W.; Grover, Martha A.

分享

收藏

Efficient Representation and Approximation of Model Predictive Control Laws via Deep Learning 基于深度学习的模型预测控制律的有效表示和逼近

IEEE TRANSACTIONS ON CYBERNETICS

IF10.5

2020-09-01

152

OAAI

Karg, Benjamin; Lucia, Sergio

分享

收藏

Experimental implementation of a Quality-by-Control (QbC) framework using a mechanistic PBM-based nonlinear model predictive control involving chord length distribution measurement for the batch cooling crystallization of L-ascorbic acid

CHEMICAL ENGINEERING SCIENCE

IF4.3

2019-02-01

44

OAAI

Szilagyi, Botond; Borsos, Akos; Pal, Kanjakha; Nagy, Zoltan K.

分享

收藏

Efficient hybrid modeling and sorption model discovery for non-linear advection-diffusion-sorption systems: A systematic scientific machine learning approach 非线性对流-扩散-吸附系统的高效混合建模和吸附模型发现: 一种系统的科学机器学习方法

CHEMICAL ENGINEERING SCIENCE

IF4.3

2023-12-01

5

OAAI

Santana, Vinicius V.; Costa, Erbet; Rebello, Carine M.; Ribeiro, Ana Mafalda; Rackauckas, Christopher; Nogueira, Idelfonso B. R.

分享

收藏

Learning an Approximate Model Predictive Controller With Guarantees

IEEE Control Systems Letters

IF0

2018-07-01

0

OAAI

Michael Hertneck; Johannes Kohler; Sebastian Trimpe; Frank Allgower

分享

收藏

Multi-objective optimization based nonlinear model predictive control of seeded cooling crystallization process with application to β form L-glutamic acid

CHEMICAL ENGINEERING SCIENCE

IF4.3

2024-11-01

1

PREAI

Sun, Feiran; Liu, Tao; Song, Bo; Cui, Yan; Nagy, Zoltan K.; Findeisen, Rolf

分享

收藏

An artificial neural network model applied to convert sucrose chord length distributions into particle size distributions

Powder Technology

IF0

2021-05-01

0

PREAI

C.E. Crestani; A. Bernardo; C.B.B. Costa; M. Giulietti

分享

收藏

Data-driven identification of crystallization kinetics

IF4

2024-02-09

4

OAAI

Nyande, Baggie W.; Nagy, Zoltan K.; Lakerveld, Richard

分享

收藏

Modeling of Nucleation, Growth, and Dissolution of Paracetamol in Ethanol Solution for Unseeded Batch Cooling Crystallization with Temperature-Cycling Strategy

INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH

IF3.9

2023-02-06

13

OAAI

Kim, Youngjo; Kawajiri, Yoshiaki; Rousseau, Ronald W.; Grover, Martha A.

分享

收藏

Comprehensive evaluation of a data driven control strategy: Experimental application to a pharmaceutical crystallization process 数据驱动控制策略的综合评估: 在药物结晶过程中的实验应用

CHEMICAL ENGINEERING RESEARCH & DESIGN

IF3.9

2020-11-01

25

OAAI

Oner, Merve; Montes, Frederico C. C.; Stahlberg, Tim; Stocks, Stuart M.; Bajtner, Johan Eriksson; Sin, Gurkan

分享

收藏

查看更多内容