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| Adaptive MPC method based on control compensation for disturbance
andmodel parameters |
| HaiboZhu1,2,JunZhao1,2,WeiWang1,2 |
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| (School of Control Science and Engineering, Dalian University of Technology, Dalian 116024, Liaoning, China
Key Laboratory of Intelligent Control and Optimization for Industrial Equipment, Ministry of Education, Dalian University of Technology, Dalian 116024, Liaoning, China) |
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| 摘要: |
| To address the problem of performance degradation of model predictive control (MPC) for discrete-time linear systems with
input–output constraints caused by external disturbances and model-plant mismatch, an adaptiveMPC method based on model
parameters and external disturbances control compensation is proposed. This method combines the extended state observer
(ESO) with the -projection algorithm to simultaneously estimate external disturbances and model mismatch parameters. A
control compensation strategy is then designed using these estimates to enhance tracking performance while respecting input
and output constraints. Furthermore, the boundedness of parameter estimation errors is rigorously proved based on Lyapunov
stability theory. Finally, the proposed control method is applied to the liquid level control of a desorption tower in the fluidized
catalytic cracking (FCC) process. The simulation results show the effectiveness and superiority of the proposed method. |
| 关键词: MPC · External disturbance · Model-plant mismatch · Control compensation |
| DOI：https://doi.org/10.1007/s11768-025-00306-1 |
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| 基金项目:This work was supported by the National Natural Science Foundation
of China (Nos. 62125302, 62394344), the LiaoNing Revitalization
Talents Program (No. XLYC2002087) and the Sci-Tech Talent
Innovation Support Program of Dalian (No. 2022RG03). |
|
| Adaptive MPC method based on control compensation for disturbanceandmodel parameters |
| Haibo Zhu1,2,Jun Zhao1,2,Wei Wang1,2 |
| (School of Control Science and Engineering, Dalian University of Technology, Dalian 116024, Liaoning, China
Key Laboratory of Intelligent Control and Optimization for Industrial Equipment, Ministry of Education, Dalian University of Technology, Dalian 116024, Liaoning, China) |
| Abstract: |
| To address the problem of performance degradation of model predictive control (MPC) for discrete-time linear systems with
input–output constraints caused by external disturbances and model-plant mismatch, an adaptiveMPC method based on model
parameters and external disturbances control compensation is proposed. This method combines the extended state observer
(ESO) with the -projection algorithm to simultaneously estimate external disturbances and model mismatch parameters. A
control compensation strategy is then designed using these estimates to enhance tracking performance while respecting input
and output constraints. Furthermore, the boundedness of parameter estimation errors is rigorously proved based on Lyapunov
stability theory. Finally, the proposed control method is applied to the liquid level control of a desorption tower in the fluidized
catalytic cracking (FCC) process. The simulation results show the effectiveness and superiority of the proposed method. |
| Key words: MPC · External disturbance · Model-plant mismatch · Control compensation |
