作者
Aritsara Saengchan, Paisan Kittisupakorn, Woranee Paengjuntuek, Amornchai Arpornwichanop
发表日期
2011/5/25
期刊
Journal of Industrial and Engineering Chemistry
卷号
17
期号
3
页码范围
430-438
出版商
Elsevier
简介
As the widespread use of a batch crystallization process in many industries, finding an optimal operating condition and effective control strategy are significant for improving product quality and downstream operations. To achieve these, an accurate model is required to predict the process behavior and to design an effective and robust controller. However, due to unknown disturbances and batch-to-batch variations, the kinetic parameters obtained from experimental study may not represent the real process resulting in poor control and estimation performances. In this work, improvement of batch crystallization control of a potassium sulfate production under uncertain kinetic parameters has been proposed. An extended Kalman filter (EKF) has been designed to estimate uncertain parameters and un-measurable states. An optimization model based feedback controller known as Model Predictive Control (MPC …
引用总数
201220132014201520162017201820192020202120222023202434232221232
学术搜索中的文章
A Saengchan, P Kittisupakorn, W Paengjuntuek… - Journal of Industrial and Engineering Chemistry, 2011