电子科技 ›› 2021, Vol. 34 ›› Issue (5): 18-23.doi: 10.16180/j.cnki.issn1007-7820.2021.05.004

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基于模糊PID负荷跟踪型主蒸汽温度控制系统研究

任新瑞1,马立新2   

  1. 1.上海理工大学 光电信息与计算机工程学院,上海 2000932
    2.上海理工大学 机械工程学院,上海 200093
  • 收稿日期:2020-01-10 出版日期:2021-05-15 发布日期:2021-05-24
  • 作者简介:任新瑞(1995-),女,硕士生研究生。研究方向:智能控制理论与应用。|马立新(1960-),男,博士,教授。研究方向:电力系统稳定性与优化运行、电气系统故障诊断、智能电网与智能控制等。
  • 基金资助:
    国家自然科学基金(61205076);上海市张江国家自主创新重点项目(201310-PI-B2-008)

Research on Main Steam Temperature Control System Based on Fuzzy PID Load Tracking

REN Xinrui1,MA Lixin2   

  1. 1. School of Optical-Electrical and Computer Engineering,University of Shanghai for Science and Technology,Shanghai 200093,China
    2. School of Mechanical Engineering,University of Shanghai for Science and Technology,Shanghai 200093,China
  • Received:2020-01-10 Online:2021-05-15 Published:2021-05-24
  • Supported by:
    National Natural Science Foundation of China(61205076);Zhangjiang National Independent Innovation Key Project in Shanghai(201310-PI-B2-008)

摘要:

针对传统PID无法实现负荷实时跟踪控制的问题,文中将传统PID控制与模糊控制相结合设计了一种模糊PID控制器,并以发电机实时负荷作为响应和输入,构筑出负荷跟踪型模糊PID主蒸汽温度串级控制系统。通过模糊算法得到PID控制器3个参数的校正值,实时跟踪负荷在线调整PID的3个参数,将主蒸汽温度控制在设定值附近。文中进行了负荷波动实验、负荷突变实验、烟气扰动实验,结果表明实时系统数据与目标温度值的误差在1~2 ℃,超调量比传统方法减小了1.3%,调节时间缩短了33.4%,说明该系统具有较强的负荷跟踪能力,且对负荷波动具有更好的鲁棒性。

关键词: 主蒸汽温度, PID控制, 模糊控制, 串级控制系统, 跟踪控制, 过程控制, 发电机负荷, 火电机组

Abstract:

In view of the problem that the traditional PID fails to realize load tracking control in real time. a fuzzy PID controller is designed by combining traditional PID control with fuzzy control. The real-time load of the generator is used as the response and input to construct a load tracking fuzzy PID main steam temperature control system. Correction values of the three parameters of the PID controller are obtained through a fuzzy algorithm, and the three parameters of the PID are adjusted online by real-time tracking load, and the main steam temperature are controlled to be stable near the set value. Load fluctuation, load mutation and smoke disturbance are performed and the experimental results show that the error between real-time system data and target temperature value is 1~2 ℃, the overshoot of the system decreases by 1.3% compared with the traditional method, and the adjustment time shortens by 33.4%. These results indicate that the proposed system has a strong load tracking ability and better robustness to load fluctuation.

Key words: main steam temperature, PID control, fuzzy control, cascade control system, tracking control, process control, generator load, thermal power unit

中图分类号: 

  • TP391.9