Multivariable Gain Scheduling Model Predictive Control for Post-Combustion CO2Capture System

doi:10.23919/ICCAS59377.2023.10317016

	Multivariable Gain Scheduling Model Predictive Control for Post-Combustion CO2Capture System
	Li, Haifeng; An, Aimin
	2023
会议名称	23rd International Conference on Control, Automation and Systems, ICCAS 2023
会议录名称	International Conference on Control, Automation and Systems
页码	1259-1264
会议日期	October 17, 2023 - October 20, 2023
会议地点	Yeosu, Korea, Republic of
出版者	IEEE Computer Society
摘要	The 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.
关键词	Carbon 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
DOI	10.23919/ICCAS59377.2023.10317016
收录类别	EI
语种	英语
EI入藏号	20235015208914
EI主题词	Model predictive control
EI分类号	706.1 Electric Power Systems - 731.1 Control Systems - 804.2 Inorganic Compounds - 921.5 Optimization Techniques
ISSN	1598-7833
原始文献类型	Conference article (CA)
引用统计	无
文献类型	会议论文
条目标识符	https://ir.lut.edu.cn/handle/2XXMBERH/169324
专题	电气工程与信息工程学院
通讯作者	An, Aimin
作者单位	College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou; 730050, China
第一作者单位	兰州理工大学
通讯作者单位	兰州理工大学
推荐引用方式 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.