IDENTIFICATION AND OPTIMIZATION OF THE MAIN STEAM TEMPERATURE CONTROL SYSTEM BASED ON THE RECURSIVE LEAST SQUARE METHOD

GAO Si1; KANG Jingqiu2; YANG Zhenyong2; LI Weihua21.College of Control and Computer Engineering

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IDENTIFICATION AND OPTIMIZATION OF THE MAIN STEAM TEMPERATURE CONTROL SYSTEM BASED ON THE RECURSIVE LEAST SQUARE METHOD

更新时间：2025-09-28

- IDENTIFICATION AND OPTIMIZATION OF THE MAIN STEAM TEMPERATURE CONTROL SYSTEM BASED ON THE RECURSIVE LEAST SQUARE METHOD
- Thermal Power Generation Vol. 40, Issue 6, Pages: 29-33(2011)
- 作者机构：
  
  1. 华北电力大学控制与计算机工程学院
  2. 华北电力科学研究院有限责任公司
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP273
- Published：2011
- 稿件说明：
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GAO Si1, KANG Jingqiu2, YANG Zhenyong2, et al. IDENTIFICATION AND OPTIMIZATION OF THE MAIN STEAM TEMPERATURE CONTROL SYSTEM BASED ON THE RECURSIVE LEAST SQUARE METHOD[J]. Thermal power generation, 2011, 40(6): 29-33.
DOI：

GAO Si1, KANG Jingqiu2, YANG Zhenyong2, et al. IDENTIFICATION AND OPTIMIZATION OF THE MAIN STEAM TEMPERATURE CONTROL SYSTEM BASED ON THE RECURSIVE LEAST SQUARE METHOD[J]. Thermal power generation, 2011, 40(6): 29-33. DOI：

摘要

采用递推最小二乘法对主蒸汽温度控制系统进行闭环辨识

依据串级控制结构的特点

通过双线性变换法转换辨识模型及划分辨识环节

从而推导得出辨识参数方程;基于时间乘绝对误差的积分准则(ITAE)实现PID参数的离线优化

并在仿真模型上验证了上述方法的有效性。将该辨识模型用于某电厂600 MW机组主蒸汽温度控制系统PID参数的优化

结果表明主蒸汽温度控制系统动态调节性能显著提高

同时可达到离线优化控制系统的目的。

Abstract

By adopting the recursive least square method

a close-loop identification of the main steam temperature control system has been carried out.Based on features of the cascade control structure

and through double linearity transformation model

the identification model has been converted

and the identification links being divided

thereby

the identification parameter equation being deducted and obtained.Based on the integration criterion of time multiplying absolute error

the off-line optimization of PID parameters has been realized

and the effectiveness of above-mentioned method being verified on the emulation model.The said identification model has been used for optimization of PID parameters in the main steam temperature control system of one 600 MW unit

results show that the dynamic regulation performance of the main steam temperature control system has been remarkably enhanced

at the same time

the target of off-line optimization for the control system can be reached.

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