@inproceedings{597343701cbf4dcdbde39b984bd272a1,
title = "Parameter Estimation for Batch Crystallization Processes Using Automatic Differentiation",
abstract = "In this paper, an automatic differentiation-based sequential quadratic programming (AD-SQP) method is proposed for parameter estimation of nonlinear growth models for industrial crystallization processes. Based on the process population balance equation (PBE) related to the size-dependent growth kinetic, the parameter estimation problem is transformed into a constrained optimization problem, such that an automatic differentiation (AD) algorithm is established to efficiently compute the gradients of the model fitting error for parameter estimation. A comparative study between SQP and AD-SQP is made for reference. Simulation results demonstrates that the proposed method is more efficient and accurate than the traditional SQP. Experiments on the seeded batch cooling crystallization of the β form L-glutamic acid (β-LGA) with different temperature cooling profiles are performed to apply the proposed AD-SQP to identify the growth model. The predicted moments of crystal size distribution (CSD) and solution concentration well match with the measured results.",
keywords = "Automatic Differentiation, Crystallization, Parameter Estimation, Population Balance Model",
author = "Weixu Chen and Fangkun Zhang and Tao Liu and Xiongwei Ni",
year = "2018",
month = oct,
day = "8",
doi = "10.23919/ChiCC.2018.8483682",
language = "English",
series = "Chinese Control Conference (CCC)",
publisher = "IEEE",
pages = "1809--1814",
editor = "Xin Chen and Qianchuan Zhao",
booktitle = "Proceedings of the 37th Chinese Control Conference",
address = "United States",
note = "37th Chinese Control Conference 2018, CCC 2018 ; Conference date: 25-07-2018 Through 27-07-2018",
}