Fast incremental predictive control with constraints and its application to control of GLCC liquid-level

HE Defeng; BAO Rong; ZHENG Kaihua; YU Li

doi:10.3969/j.issn.0438-1157.2013.03.029

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Fast incremental predictive control with constraints and its application to control of GLCC liquid-level

更新时间：2025-12-10

- Fast incremental predictive control with constraints and its application to control of GLCC liquid-level
- CIESC Journal Issue 3, Pages: 993-999(2013)
- 作者机构：
  
  浙江工业大学信息工程学院,浙江,杭州,310023
- 作者简介：
- 基金信息：
- DOI：10.3969/j.issn.0438-1157.2013.03.029
  CLC： P273
- Online First：05 March 2013，
  
  Published：05 March 2013
- 稿件说明：
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HE Defeng, BAO Rong, ZHENG Kaihua, et al. Fast incremental predictive control with constraints and its application to control of GLCC liquid-level[J]. CIESC Journal, 2013, (3): 993-999.
DOI：

HE Defeng, BAO Rong, ZHENG Kaihua, et al. Fast incremental predictive control with constraints and its application to control of GLCC liquid-level[J]. CIESC Journal, 2013, (3): 993-999. DOI： 10.3969/j.issn.0438-1157.2013.03.029.

摘要

针对气-液柱状旋流式(GLCC)多相流量计的液位控制问题

提出一种增量多变量模型预测控制(MPC)算法。采用控制增量状态空间模型和阶梯式控制策略

建立约束多变量MPC优化控制问题。为在线计算约束优化问题

引入坐标轮换法和黄金分割法

在线计算控制变量增量值

进而得到预测控制量。最后

以GLCC多相流量计的两输入单输出液位控制模型为例

仿真验证本文算法的有效性。

Abstract

For liquid-level control problem of gas-liquid cylindrical cyclone(GLCC) multi-phase flow device

an incremental multi-variables model predictive control(MPC) algorithm was proposed.By using state-space models with incremental control and the stair-like strategy

constrained multi-variables MPC was formulated as an optimized control problem.In order to solve the constrained optimization problem

the methods of coordinate alternation and golden section were introduced to calculate online the value of incremental control variables.This led to predictive control actions.Finally

the liquid-level control model with double-inputs and single-output of the GLCC multi-phase flow device was used to illustrate the effectiveness of the algorithm obtained.

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