Fractional order PID predictive control of CFB boiler bed temperature based on Laguerre function

GUO Wei; QIAO Dongdong; LI Tao; LI Mingjia

doi:10.19666/j.rlfd.201708137

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Fractional order PID predictive control of CFB boiler bed temperature based on Laguerre function

更新时间：2025-09-28

- Fractional order PID predictive control of CFB boiler bed temperature based on Laguerre function
- Thermal Power Generation Vol. 47, Issue 6, Pages: 121-126(2018)
- 作者机构：
  
  1. 江苏省大气环境与装备技术协同创新中心
  2. 南京信息工程大学信息与控制学院
- 作者简介：
- 基金信息：
- DOI：10.19666/j.rlfd.201708137
  CLC： TP323
- Published Online：06 June 2018，
  
  Published：2018
- 稿件说明：
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GUO Wei, QIAO Dongdong, LI Tao, et al. Fractional order PID predictive control of CFB boiler bed temperature based on Laguerre function[J]. Thermal power generation, 2018, 47(6): 121-126.
DOI：

GUO Wei, QIAO Dongdong, LI Tao, et al. Fractional order PID predictive control of CFB boiler bed temperature based on Laguerre function[J]. Thermal power generation, 2018, 47(6): 121-126. DOI： 10.19666/j.rlfd.201708137.

摘要

针对循环流化床(CFB)锅炉床温的特点

结合Laguerre函数模型的预测控制和分数阶PID控制的优点

提出一种基于Laguerre函数模型的分数阶PID预测控制算法。该算法采用对时延和结构变化不敏感的Laguerre函数模型作为预测模型

滚动优化指标改为分数阶PID型结构

相较于整数阶PID型增加了积分阶数和微分阶数2个可调参数

使得控制系统的性能有较大的提高。通过对被控对象CFB锅炉床温进行仿真研究

发现该算法可使控制系统具有无超调、调节时间短和适应性强的特点

具有良好的控制品质。

Abstract

Aimed at the features of bed temperature of circulating fluidized bed boilers

a fraction-order PID predictive control based on the Laguerre function was proposed in combination with the advantages of fraction-order PID control and predictive control. The algorithm uses Laguerre function model that is insensitive to delay and structural changes as a prediction model

and transforms the receding optimization index into the PID-type structure. It has two adjustable parameters

the integral step number and the differential step number

compared with the integer-order PID

which improves the performance of the control system. The algorithm was applied to bed temperature control for circulating fluidized bed boilers

and the simulation results show that this control system has advantages of no overshoot

short adjustment time and strong adaptability

the control system has good control quality.

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YANG Chengmin1

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NIU Peifeng2 1.Harbin Electric Power Vocational Technology College

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