Multivariable Gain Scheduling Model Predictive Control for Post-Combustion CO2Capture System
Li, Haifeng; An, Aimin
2023
Conference Name23rd International Conference on Control, Automation and Systems, ICCAS 2023
Source PublicationInternational Conference on Control, Automation and Systems
Pages1259-1264
Conference DateOctober 17, 2023 - October 20, 2023
Conference PlaceYeosu, Korea, Republic of
PublisherIEEE Computer Society
AbstractThe model predictive control (MPC) strategy has been successfully applied to the control of Post-combustion CO2 capture (PCC) systems. This paper firstly implements the control requirement of three inputs and two outputs of the system by using a multivariable MPC strategy based on the strong coupling characteristics of the PCC system between multiple variables, and then proposes a model predictive control method based on gain scheduling for the operation of the PCC system with strong nonlinearity in a wide range of operating conditions. By modeling the system transfer function at typical operating points, combining the gain scheduling strategy to model the entire system, and using predictive control techniques to ensure the global optimized quality of the control system. The simulation results show that, compared with the conventional MPC control algorithm, the predictive control method based on gain scheduling can quickly track load changes in a wide range of operating conditions, and each output of the coordinated control system is regulated to follow the set value faster, with smaller dynamic deviation, faster control actuator action, relatively smooth control action changes, and good stability. © 2023 ICROS.
KeywordCarbon dioxide - Combustion - Electric loads - Global optimization - Predictive control systems ASPEN PLUS - Capture system - CO2 capture - Gain Scheduling - Model-predictive control - Multivariate model predictive control - Multivariate modeling - Multivariate systems - Post-combustion - Post-combustion CO2 capture system
DOI10.23919/ICCAS59377.2023.10317016
Indexed ByEI
Language英语
EI Accession Number20235015208914
EI KeywordsModel predictive control
EI Classification Number706.1 Electric Power Systems - 731.1 Control Systems - 804.2 Inorganic Compounds - 921.5 Optimization Techniques
ISSN1598-7833
Original literature typeConference article (CA)
Citation statistics
none
Document Type会议论文
Identifierhttps://ir.lut.edu.cn/handle/2XXMBERH/169324
Collection电气工程与信息工程学院
Corresponding AuthorAn, Aimin
AffiliationCollege of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou; 730050, China
First Author AffilicationLanzhou University of Technology
Corresponding Author AffilicationLanzhou University of Technology
Recommended Citation
GB/T 7714
Li, Haifeng,An, Aimin. Multivariable Gain Scheduling Model Predictive Control for Post-Combustion CO2Capture System[C]:IEEE Computer Society,2023:1259-1264.
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