SCI和EI收录∣中国化工学会会刊

Chinese Journal of Chemical Engineering ›› 2022, Vol. 49 ›› Issue (9): 234-244.DOI: 10.1016/j.cjche.2021.11.022

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Proportion integral-type active disturbance rejection generalized predictive control for distillation process based on grey wolf optimization parameter tuning

Jia Ren1, Zengqiang Chen1,2, Mingwei Sun1, Qinglin Sun1, Zenghui Wang3   

  1. 1. College of Artificial Intelligence, Nankai University, Tianjin 300350, China;
    2. Key Lab of Intelligent Robotics of Tianjin, Tianjin 300350, China;
    3. Department of Electrical and Mining Engineering, University of South Africa, Florida 1710, South Africa
  • Received:2021-07-29 Revised:2021-11-25 Online:2022-10-19
  • Contact: Zengqiang Chen,E-mail:chenzq@nankai.edu.cn
  • Supported by:
    This work was funded by the National Natural Science Foundation of China (61973175, 62073177 and 61973172), South African National Research Foundation (132797), South African National Research Foundation Incentive (114911), Eskom Tertiary Education Support Programme Grant of South Africa, and Tianjin Research Innovation Project for Postgraduate Students (2021YJSB018, 2020YJSB003).

Proportion integral-type active disturbance rejection generalized predictive control for distillation process based on grey wolf optimization parameter tuning

Jia Ren1, Zengqiang Chen1,2, Mingwei Sun1, Qinglin Sun1, Zenghui Wang3   

  1. 1. College of Artificial Intelligence, Nankai University, Tianjin 300350, China;
    2. Key Lab of Intelligent Robotics of Tianjin, Tianjin 300350, China;
    3. Department of Electrical and Mining Engineering, University of South Africa, Florida 1710, South Africa
  • 通讯作者: Zengqiang Chen,E-mail:chenzq@nankai.edu.cn
  • 基金资助:
    This work was funded by the National Natural Science Foundation of China (61973175, 62073177 and 61973172), South African National Research Foundation (132797), South African National Research Foundation Incentive (114911), Eskom Tertiary Education Support Programme Grant of South Africa, and Tianjin Research Innovation Project for Postgraduate Students (2021YJSB018, 2020YJSB003).

Abstract: The high-purity distillation column system is strongly nonlinear and coupled, which makes it difficult to control. Active disturbance rejection control (ADRC) has been widely used in distillation systems, but it has limitations in controlling distillation systems with large time delays since ADRC employs ESO and feedback control law to estimate the total disturbance of the system without considering the large time delays. This paper designs a proportion integral-type active disturbance rejection generalized predictive control (PI-ADRGPC) algorithm to control the distillation column system with large time delay. It replaces the PD controller in ADRC with a proportion integral-type generalized predictive control (PI-GPC), thereby improving the performance of control systems with large time delays. Since the proposed controller has many parameters and is difficult to tune, this paper proposes to use the grey wolf optimization (GWO) to tune these parameters, whose structure can also be used by other intelligent optimization algorithms. The performance of GWO tuned PI-ADRGPC is compared with the control performance of GWO tuned ADRC method, multi-verse optimizer (MVO) tuned PI-ADRGPC and MVO tuned ADRC. The simulation results show that the proposed strategy can track reference well and has a good disturbance rejection performance.

Key words: Proportion integral-type active disturbance rejection generalized predictive control, Grey wolf optimization, Parameter tuning, Distillation, Process control, Prediction

摘要: The high-purity distillation column system is strongly nonlinear and coupled, which makes it difficult to control. Active disturbance rejection control (ADRC) has been widely used in distillation systems, but it has limitations in controlling distillation systems with large time delays since ADRC employs ESO and feedback control law to estimate the total disturbance of the system without considering the large time delays. This paper designs a proportion integral-type active disturbance rejection generalized predictive control (PI-ADRGPC) algorithm to control the distillation column system with large time delay. It replaces the PD controller in ADRC with a proportion integral-type generalized predictive control (PI-GPC), thereby improving the performance of control systems with large time delays. Since the proposed controller has many parameters and is difficult to tune, this paper proposes to use the grey wolf optimization (GWO) to tune these parameters, whose structure can also be used by other intelligent optimization algorithms. The performance of GWO tuned PI-ADRGPC is compared with the control performance of GWO tuned ADRC method, multi-verse optimizer (MVO) tuned PI-ADRGPC and MVO tuned ADRC. The simulation results show that the proposed strategy can track reference well and has a good disturbance rejection performance.

关键词: Proportion integral-type active disturbance rejection generalized predictive control, Grey wolf optimization, Parameter tuning, Distillation, Process control, Prediction