摘要
汽轮机轴封蒸汽压强调整常用常规比例-积分-微分(Proportion Integration Differentiation,PID)控制,但其在动态场景下超调量大。为此,提出基于模糊PID的控制方法。该方法采用自回归滑动平均(Autoregressive Moving-Average,ARMA)模型处理历史数据以预测蒸汽压强变化,结合模糊推理逻辑和PID算法建立参数自整定控制框架,通过输入预测值和设定值得出控制变量。此外,连接Smith预估补偿控制器,补偿纯滞后时间。实验结果表明,该方法控制超调量仅为0.95%,能有效稳定调节汽轮机轴封蒸汽压强。
The conventional Proportion Integration Differentiation(PID)control is commonly used for adjusting the steam pressure of turbine shaft seals,but it has a large overshoot in dynamic scenarios.Therefore,a control method based on fuzzy PID is proposed.This method uses an Autoregressive Moving Average(ARMA)model to process historical data and predict changes in steam pressure.It combines fuzzy inference logic and PID algorithm to establish a parameter self-tuning control framework,and obtains control variables by inputting predicted values and set values.In addition,the Smith estimated compensation controller is connected to compensate for pure lag time.The experimental results show that this method controls the overshoot to only 0.95%and can effectively and stably regulate the steam pressure of the turbine shaft seal.
作者
张维嘉
ZHANG Weijia(Datang Huangdao Power Generation Co.,Ltd.,Qingdao 266500)
出处
《现代制造技术与装备》
2026年第1期188-190,共3页
Modern Manufacturing Technology and Equipment
关键词
汽轮机
模糊比例-积分-微分(PID)
封蒸系统
蒸汽压强
自动控制
滞后补偿
steam turbine
fuzzy Proportion Integration Differentiation(PID)
sealing and steaming system
steam pressure
auto-control
lag compensation
