Multivariable Model Predictive Control for Integrating Processes with Input Constraints

被引：0

作者：

Zhu, Nana ^{[1
]}

Zhou, Lifang ^{[1
]}

Li, Jianfeng ^{[1
]}

机构：

[1] Zhejiang Univ, Dept Control Sci & Engn, Hangzhou 310027, Zhejiang, Peoples R China

来源：

CCDC 2009: 21ST CHINESE CONTROL AND DECISION CONFERENCE, VOLS 1-6, PROCEEDINGS | 2009年

关键词：

Model predictive control; Integrating processes; Input constraints;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The model predictive control (MPC) strategy with input constraints may lead to infeasibility of the control algorithm in short term and degradation of the control performance. For the control of integrating processes, the system input constraints will be possible to come into conflict with the constraints caused by zeroing the integrating modes of the system at the end of the control horizon. In order to deal with this problem and increase the feasibility, the effect of setpoint on feasibility is studied for multivariable model predictive control of integrating processes in this paper. An improved algorithm is proposed by recalculating the setpoints according to the hard constraints before calculating the manipulated variable. The simulation results verify the efficiency and feasibility.

引用

页码：3471 / 3476

页数：6

共 50 条

[21] OUTPUT STABLE MODEL PREDICTIVE CONTROL DESIGN WITH INPUT CONSTRAINTS
Vesely, Vojtech
[J]. JOURNAL OF ELECTRICAL ENGINEERING-ELEKTROTECHNICKY CASOPIS, 2009, 60 (06): : 335 - 340
[22] ROBUST MODEL PREDICTIVE CONTROL OF PROCESSES WITH HARD CONSTRAINTS
ZAFIRIOU, E
[J]. COMPUTERS & CHEMICAL ENGINEERING, 1990, 14 (4-5) : 359 - 371
[23] Model predictive control design for multivariable processes in the presence of valve stiction
di Capaci, Riccardo Bacci
Vaccari, Marco
Pannocchia, Gabriele
[J]. JOURNAL OF PROCESS CONTROL, 2018, 71 : 25 - 34
[24] Disturbance-observer-based fuzzy model predictive control for nonlinear processes with disturbances and input constraints
Kong, Lei
Yuan, Jingqi
[J]. ISA TRANSACTIONS, 2019, 90 : 74 - 88
[25] Fuzzy compensator in control of multivariable systems with input constraints
Sadati, N
Aa'lam, N
[J]. IEEE ICIT' 02: 2002 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL TECHNOLOGY, VOLS I AND II, PROCEEDINGS, 2002, : 208 - 213
[26] Multivariable cascade control for processes with output constraints
Boyce, J
[J]. COMPUTERS & CHEMICAL ENGINEERING, 1996, 20 : S1083 - S1088
[27] GENERALIZED PREDICTIVE CONTROL WITH INPUT CONSTRAINTS
TSANG, TTC
CLARKE, DW
[J]. IEE PROCEEDINGS-D CONTROL THEORY AND APPLICATIONS, 1988, 135 (06): : 451 - 460
[28] Model Predictive Control of a Modular Multilevel Converter Considering Control Input Constraints
Gao, Xiaonan
Tian, Wei
Yang, Qifan
Chai, Na
Rodriguez, Jose
Kennel, Ralph
Heldwein, Marcelo Lobo
[J]. IEEE TRANSACTIONS ON POWER ELECTRONICS, 2024, 39 (01) : 636 - 648
[29] Latent variable iterative learning model predictive control for multivariable control of batch processes
Li, Xinwei
Zhao, Zhonggai
Liu, Fei
[J]. JOURNAL OF PROCESS CONTROL, 2020, 94 : 1 - 11
[30] An infinite horizon model predictive control for stable and integrating processes
Rodrigues, MA
Odloak, D
[J]. COMPUTERS & CHEMICAL ENGINEERING, 2003, 27 (8-9) : 1113 - 1128

← 1 2 3 4 5 →