Multivariable predictive control method for coordinated control system in ultra supercritical units equipped with once-through boiler

WANG Fuqiang; LI Xiaoli; ZHANG Qiusheng; ZHANG Jinying

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Multivariable predictive control method for coordinated control system in ultra supercritical units equipped with once-through boiler

Thermal Power Generation Vol. 45, Issue 4, Pages: 48-53(2016)

更新时间：2025-09-28

- Multivariable predictive control method for coordinated control system in ultra supercritical units equipped with once-through boiler
- 作者机构：
  
  1. 神华国华(北京)电力研究院技术研究中心
  2. 北京科技大学自动化学院
- 作者简介：
- 基金信息：
- DOI：
  CLC： TM621.2
- Published：2016
- 稿件说明：
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WANG Fuqiang, LI Xiaoli, ZHANG Qiusheng, et al. Multivariable predictive control method for coordinated control system in ultra supercritical units equipped with once-through boiler[J]. Thermal Power Generation, 2016, 45(4): 48-53.
DOI：

WANG Fuqiang, LI Xiaoli, ZHANG Qiusheng, et al. Multivariable predictive control method for coordinated control system in ultra supercritical units equipped with once-through boiler[J]. Thermal Power Generation, 2016, 45(4): 48-53. DOI：

摘要

在分析直流锅炉超超临界机组协调控制系统被控对象特点的基础上

得到被控对象传递函数数学结构形式

建立3输入-3输出模型

并将其简化为2输入-2输出模型。采用约束条件下的多变量预测控制算法

提高协调控制系统的控制品质;采用Block模块对约束条件进行简化

提高预测控制算法的计算速度;采用基于滚动窗口的最小二乘法对协调控制系统被控对象实现在线辨识

提高预测控制模型的精度。依据模糊规则建立机组协调控制系统

并以其为非线性研究对象进行了滑压模式下定负荷和变负荷仿真试验。结果表明:采用多变量预测控制算法的控制品质优于传统PID控制

且计算速度是传统预测控制算法的5~6倍。

Abstract

The coordinated control system in once-through boilers has such characteristics as strong coupling

time-varying and difficult control.Against these problems

the multivariable predictive control with constraint conditions was applied to improve the control quality.In this system

the block algorithm was used to simplify the constraint conditions and reduce the computing amount

thus to improve the computing speed of predictive control system.The least square method based on the rolling window was employed to realize online identification of the coordinated system's object

to improve the accuracy of the predictive control.The unit's coordinated control system was established according to the fuzzy rules.Moreover

this coordinated control system was taken as the nonlinear object to carry out simulation experiments with constant and variable load

in sliding pressure mode.The results show that

this control method obviously improves the control quality and the solution speed of predictive control algorithm.The load control quality meets the inspection requirements

which is superior to the conventional PID control

and its computing speed is obviously faster than that of the conventional algorithm.

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