Model Predictive Control of Decomposition Furnace Based on Equivalent-Input-Disturbances

In the cement production process, the decomposer outlet temperature control faces challenges such as large time delay and multiple disturbances. A general control system cannot handle time delay and disturbances effectively at the same time. Therefore, in this paper, we consider the problem of disturbances in time-delay systems and suppress the disturbances present in the outlet temperature control of the decomposer by combining equivalent-input-disturbance (EID) and Model Predictive Control (MPC), where EID can estimate the disturbances and apply them to the input channels of the system, which do not require any information about the disturbances. Finally simulations are carried out in the catabolizer system and the results indicate that this system is able to suppress the perturbations effectively in time delay systems.

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Publication Details

Published
2024-11-01
DOI
https://doi.org/10.1109/cac63892.2024.10865496
Primary Topic
Advanced Control Systems Optimization
Type
article
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article

Model Predictive Control of Decomposition Furnace Based on Equivalent-Input-Disturbances

Gang Yu, W. -T. Wu, Wangyong He
Advanced Control Systems Optimization
article

Model Predictive Control of Decomposition Furnace Based on Equivalent-Input-Disturbances

Gang Yu, W. -T. Wu, Wangyong He
article en

Abstract

In the cement production process, the decomposer outlet temperature control faces challenges such as large time delay and multiple disturbances. A general control system cannot handle time delay and disturbances effectively at the same time. Therefore, in this paper, we consider the problem of disturbances in time-delay systems and suppress the disturbances present in the outlet temperature control of the decomposer by combining equivalent-input-disturbance (EID) and Model Predictive Control (MPC), where EID can estimate the disturbances and apply them to the input channels of the system, which do not require any information about the disturbances. Finally simulations are carried out in the catabolizer system and the results indicate that this system is able to suppress the perturbations effectively in time delay systems.

China University of Geosciences (CN)
Climate action
Openalex Percentile: Top 67%
Advanced Control Systems Optimization
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