Converter inlet temperature control in flue gas acid‐making process based on equivalent input disturbance and model prediction

Author:

Li Xiaoli123,Wang Meiqi1ORCID,Wang Kang1,Liu Zhiqiang4,Li Guihai5

Affiliation:

1. Faculty of Information Technology Beijing University of Technology Beijing China

2. Beijing Key Laboratory of Computational Intelligence and Intelligent System Beijing University of Technology Beijing China

3. Engineering Research Center of Digital Community Beijing University of Technology Beijing China

4. Guixi Smelter Jiangxi Copper Corporation Limited Guixi China

5. Beijing RTlink Technology Co. Ltd Beijing China

Abstract

AbstractAiming at the problem of performance degradation of flue gas acid‐making control system caused by system uncertainty and external interference, this paper presents a model predictive control scheme based on an equivalent input disturbance (MPC‐EID) for the temperature tracking control of flue gas acid production systems. First, a nonlinear Wiener model is established for the process, which can well character the nonlinear change of process temperature. Second, design the overall control strategy and complete the design of MPC and EID, the observer estimates the equivalent input disturbance, and compensates the estimated value in a feed‐forward manner to obtain the final composite control rate to achieve the rapidity, accuracy and robustness to the disturbance of the reference temperature tracking. Third, a rigorous stability analysis shows that the closed‐loop system is stable. Finally, simulation and experimental results demonstrate that the MPC combined with EID method is more efficient compared with MPC and MPC‐PID approaches.

Funder

National Natural Science Foundation of China

Beijing Municipal Natural Science Foundation

Publisher

Wiley

Subject

Applied Mathematics,Control and Optimization,Software,Control and Systems Engineering

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