Intelligent decoupling PID control for the forced-circulation evaporation system

doi:10.1016/j.cjche.2015.09.008

Chinese Journal of Chemical Engineering ›› 2015, Vol. 23 ›› Issue (12): 2075-2086.DOI: 10.1016/j.cjche.2015.09.008

• 第25届中国过程控制会议专栏 • 上一篇下一篇

Intelligent decoupling PID control for the forced-circulation evaporation system

Yonggang Wang¹, Xinfu Pang^2,3, Zailin Piao¹, Jingjing Fang¹, Jun Fu⁴, Tianyou Chai ⁴

1 College of Information and Electronic Engineering, Shenyang Agricultural University, Shenyang 110866, China;
2 College of Automation, Shenyang Institute of Engineering, Shenyang 110136, China;
3 State Key Laboratory of Digital Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan 430037, China;
4 State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang 110004, China

收稿日期:2015-05-25 修回日期:2015-07-27 出版日期:2015-12-28 发布日期:2016-01-19
通讯作者: Xinfu Pang
基金资助:
Supported by the National Natural Science Foundation of China (61473063), the National Key Technology R&D Program (2012BAJ26B01), the China Postdoctoral Science Foundation (2014M552040, 2014M561250, 2015M571328), the Special Fund for Agroscientific Research in the Public Interest (201503136), and the Key Scientific and Technological Project of Liaoning Province (201500834).

Intelligent decoupling PID control for the forced-circulation evaporation system

Yonggang Wang¹, Xinfu Pang^2,3, Zailin Piao¹, Jingjing Fang¹, Jun Fu⁴, Tianyou Chai ⁴

1 College of Information and Electronic Engineering, Shenyang Agricultural University, Shenyang 110866, China;
2 College of Automation, Shenyang Institute of Engineering, Shenyang 110136, China;
3 State Key Laboratory of Digital Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan 430037, China;
4 State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang 110004, China

Received:2015-05-25 Revised:2015-07-27 Online:2015-12-28 Published:2016-01-19
Contact: Xinfu Pang
Supported by:
Supported by the National Natural Science Foundation of China (61473063), the National Key Technology R&D Program (2012BAJ26B01), the China Postdoctoral Science Foundation (2014M552040, 2014M561250, 2015M571328), the Special Fund for Agroscientific Research in the Public Interest (201503136), and the Key Scientific and Technological Project of Liaoning Province (201500834).

摘要/Abstract

摘要： The control objective of the forced-circulation evaporation process of alumina production is not only to avoid large fluctuations of the level, but also to ensure the product density to track its setpoint quickly. Due to the existence of strong coupling between the level loop and the product density loop, and high nonlinearities in the process, the conventional control strategy cannot achieve satisfactory control performance, and thus the production demand cannot bemet. In this paper, an intelligent decoupling PID controller including conventional PID controllers, a decoupling compensator and a neural feedforward compensator is proposed. The parameters of such controller are determined by generalized predictive control law. Real-time experiment results show that the proposed method can decouple the loops effectively and thus improve the evaporation efficiency.

关键词: Forced-circulation system, Decoupling, Neural networks, Nonlinear system

Abstract: The control objective of the forced-circulation evaporation process of alumina production is not only to avoid large fluctuations of the level, but also to ensure the product density to track its setpoint quickly. Due to the existence of strong coupling between the level loop and the product density loop, and high nonlinearities in the process, the conventional control strategy cannot achieve satisfactory control performance, and thus the production demand cannot bemet. In this paper, an intelligent decoupling PID controller including conventional PID controllers, a decoupling compensator and a neural feedforward compensator is proposed. The parameters of such controller are determined by generalized predictive control law. Real-time experiment results show that the proposed method can decouple the loops effectively and thus improve the evaporation efficiency.

Key words: Forced-circulation system, Decoupling, Neural networks, Nonlinear system

Yonggang Wang, Xinfu Pang, Zailin Piao, Jingjing Fang, Jun Fu, Tianyou Chai . Intelligent decoupling PID control for the forced-circulation evaporation system[J]. Chinese Journal of Chemical Engineering, 2015, 23(12): 2075-2086.

Yonggang Wang, Xinfu Pang, Zailin Piao, Jingjing Fang, Jun Fu, Tianyou Chai . Intelligent decoupling PID control for the forced-circulation evaporation system[J]. Chin.J.Chem.Eng., 2015, 23(12): 2075-2086.

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Intelligent decoupling PID control for the forced-circulation evaporation system

Intelligent decoupling PID control for the forced-circulation evaporation system

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