Abstract
Batch process is an important class of chemical processes. Due to its high flexibility and versatility, it has found wide application in industry such as semi-conductor manufacturing, polymer processing, and pharmaceutical production. Meanwhile, efforts have been made in the research on control algorithms for batch processes. In the past 30 years, batch process control has achieved significant developments. However, due to its complexity and increasing requirements on control precision, there are still many challenging problems in this field. In this paper, starting from the nature of batch process, we address the challenges in this field, review the development of control strategies, analyze several classical control algorithms, and discuss the future development of batch process control.
| Original language | English |
|---|---|
| Pages (from-to) | 933-943 |
| Number of pages | 11 |
| Journal | Zidonghua Xuebao/Acta Automatica Sinica |
| Volume | 43 |
| Issue number | 6 |
| DOIs | |
| Publication status | Published - 1 Jun 2017 |
Bibliographical note
Publisher Copyright:Copyright © 2017 Acta Automatica Sinica. All rights reserved.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 9 Industry, Innovation, and Infrastructure
Keywords
- Batch process
- Iterative learning control (ILC)
- Process control
- Two-time-dimensional (2D) control
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