2D Terminal Constrained Model Predictive Iterative Learning Control of Batch Processes With Time Delay

In this paper, a 2D terminal constrained model predictive iterative learning control method of batch processes with time delay is proposed to deal with time delay, input and output constraints, and disturbances in batch processes. Firstly, an iterative learning control law is designed for the given...

Full description

Bibliographic Details
Main Authors: Qiyuan Zhang, Jingxian Yu, Limin Wang
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8824090/
_version_ 1818665607125532672
author Qiyuan Zhang
Jingxian Yu
Limin Wang
author_facet Qiyuan Zhang
Jingxian Yu
Limin Wang
author_sort Qiyuan Zhang
collection DOAJ
description In this paper, a 2D terminal constrained model predictive iterative learning control method of batch processes with time delay is proposed to deal with time delay, input and output constraints, and disturbances in batch processes. Firstly, an iterative learning control law is designed for the given batch process; then the state error and output tracking error are introduced, and the original state-space model is converted to an equivalent 2D-FM model. In the meantime, an optimal performance index with terminal constraints is introduced, and an update law is designed to minimize the objective function under input and output constraints. The robust constraint set is adopted that the system state is converged to this set round the desired point. Then, based on the designed optimal performance index and Lyapunov stability theory, the MPC problem is transformed into a linear matrix inequality problem and a sufficient condition is given to ensure the robust asymptotically stability of the closed-loop system. Finally, the validity of the proposed method is proved by the simulation on a stirred tank.
first_indexed 2024-12-17T05:51:19Z
format Article
id doaj.art-6c43263505c843458d3c23a8a1aac5dc
institution Directory Open Access Journal
issn 2169-3536
language English
last_indexed 2024-12-17T05:51:19Z
publishDate 2019-01-01
publisher IEEE
record_format Article
series IEEE Access
spelling doaj.art-6c43263505c843458d3c23a8a1aac5dc2022-12-21T22:01:08ZengIEEEIEEE Access2169-35362019-01-01712684212685610.1109/ACCESS.2019.293942888240902D Terminal Constrained Model Predictive Iterative Learning Control of Batch Processes With Time DelayQiyuan Zhang0Jingxian Yu1https://orcid.org/0000-0002-2383-1128Limin Wang2https://orcid.org/0000-0002-0472-3383School of Information and Control, Liaoning Shihua University, Fushun, ChinaSchool of Science, Liaoning Shihua University, Fushun, ChinaSchool of Information and Control, Liaoning Shihua University, Fushun, ChinaIn this paper, a 2D terminal constrained model predictive iterative learning control method of batch processes with time delay is proposed to deal with time delay, input and output constraints, and disturbances in batch processes. Firstly, an iterative learning control law is designed for the given batch process; then the state error and output tracking error are introduced, and the original state-space model is converted to an equivalent 2D-FM model. In the meantime, an optimal performance index with terminal constraints is introduced, and an update law is designed to minimize the objective function under input and output constraints. The robust constraint set is adopted that the system state is converged to this set round the desired point. Then, based on the designed optimal performance index and Lyapunov stability theory, the MPC problem is transformed into a linear matrix inequality problem and a sufficient condition is given to ensure the robust asymptotically stability of the closed-loop system. Finally, the validity of the proposed method is proved by the simulation on a stirred tank.https://ieeexplore.ieee.org/document/8824090/Batch processestime delayterminal constraints2D terminal constrained model predictive iterative learning control
spellingShingle Qiyuan Zhang
Jingxian Yu
Limin Wang
2D Terminal Constrained Model Predictive Iterative Learning Control of Batch Processes With Time Delay
IEEE Access
Batch processes
time delay
terminal constraints
2D terminal constrained model predictive iterative learning control
title 2D Terminal Constrained Model Predictive Iterative Learning Control of Batch Processes With Time Delay
title_full 2D Terminal Constrained Model Predictive Iterative Learning Control of Batch Processes With Time Delay
title_fullStr 2D Terminal Constrained Model Predictive Iterative Learning Control of Batch Processes With Time Delay
title_full_unstemmed 2D Terminal Constrained Model Predictive Iterative Learning Control of Batch Processes With Time Delay
title_short 2D Terminal Constrained Model Predictive Iterative Learning Control of Batch Processes With Time Delay
title_sort 2d terminal constrained model predictive iterative learning control of batch processes with time delay
topic Batch processes
time delay
terminal constraints
2D terminal constrained model predictive iterative learning control
url https://ieeexplore.ieee.org/document/8824090/
work_keys_str_mv AT qiyuanzhang 2dterminalconstrainedmodelpredictiveiterativelearningcontrolofbatchprocesseswithtimedelay
AT jingxianyu 2dterminalconstrainedmodelpredictiveiterativelearningcontrolofbatchprocesseswithtimedelay
AT liminwang 2dterminalconstrainedmodelpredictiveiterativelearningcontrolofbatchprocesseswithtimedelay