采用基于闭环辨识IMC-PID实现串级汽温的鲁棒控制

doi:10.11930/j.issn.1004-9649.201703014

中国电力 ›› 2017, Vol. 50 ›› Issue (11): 15-21.DOI: 10.11930/j.issn.1004-9649.201703014

采用基于闭环辨识IMC-PID实现串级汽温的鲁棒控制

李晓枫¹, 陈广学², 张政委³, 王亚刚⁴, 高雅¹, 尤毅¹, 顾博川¹

1. 广东电网责任有限公司电力科学研究院,广东广州 510080;
2. 湛江电力有限公司, 广东湛江 524099;
3. 华润电力控股有限公司,广东深圳 518001;
4. 上海理工大学,上海 200093

收稿日期:2017-04-20 出版日期:2017-11-25 发布日期:2017-11-29
作者简介:李晓枫（1963—）,男,广东广州人,高级工程师,从事复杂控制回路的模型辨识、智能控制、鲁棒控制、稳定分析、火电厂控制策略的研究。E-mail: lxf139@139.com
基金资助:
国家自然科学基金资助项目（61074087）

IMC-Based PID Controller Design for Cascade Control of Superheated Steam Temperature with Frequency Identification

LI Xiaofeng¹, CHEN Guangxue², ZHANG Zhengwei³, WANG Yagang⁴, GAO Ya¹, YOU Yi¹, GU Bochuan¹

1. Electric Power Research Institute of Guangdong Power Group Co., Guangzhou 510080, China;
2. Zhanjiang Electric Power Co., Ltd., Zhanjiang 524099, China;
3. China Resources Power Holdings Co., Ltd., Shenzhen 518001, China;
4. University of Shanghai for Science and Technology, Shanghai 200093, China

Received:2017-04-20 Online:2017-11-25 Published:2017-11-29
Supported by:
This work is supported by National Science Foundation of China under Grants (No. 61074087).

摘要/Abstract

摘要： 提出了一个基于频域辨识方法设计串级汽温内模-PID控制器。首先进行汽温过程对象的模型辨识,在辨识部分,通过进行常规的设定值扰动试验,获得串级系统各回路输入输出的扰动试验数据,估算出内回路及外回路的频率响应矩阵,然后通过最小二乘法计算出内回路及外回路模型变换函数的参数矩阵。基于内模控制（IMC）的汽温串级PID 控制回路的参数整定,是基于辨识出的模型采用IMC方法计算出来的。现场应用情况表明,采用基于频域辨识方法设计串级汽温内模-PID控制器的控制方案,使汽温串级控制性能大大提高,能有效地减少各种内外干扰对系统的影响。

关键词: 火力发电, 热工自动化, H_∞控制, 闭环辨识, IMC-PID, 串级控制

Abstract: An IMC-based-PID Controller design method for cascade control of superheated steam temperature through frequency identification is proposed in this paper. In this design method, the process model of superheated steam temperature is identified first. In the identification procedure, the set-point change tests are adopted to calculate the models based on the inputs and outputs of the inner and outer control loops. The process frequency-response matrix is estimated, and then a transform function matrix is obtained by the least squares method. The parameters of the IMC-based PID controller of the SST (steam temperature cascade control loop) are determined by using the internal model control (IMC) and improved SIMC method based on the identified model. It is shown that this strategy achieves better control performance and minimizes the effects of the external or the internal disturbances.

Key words: H-infinity control, closed-loop identification, IMC-PID, cascade control

中图分类号:

TM621

李晓枫, 陈广学, 张政委, 王亚刚, 高雅, 尤毅, 顾博川. 采用基于闭环辨识IMC-PID实现串级汽温的鲁棒控制[J]. 中国电力, 2017, 50(11): 15-21.

LI Xiaofeng, CHEN Guangxue, ZHANG Zhengwei, WANG Yagang, GAO Ya, YOU Yi, GU Bochuan. IMC-Based PID Controller Design for Cascade Control of Superheated Steam Temperature with Frequency Identification[J]. Electric Power, 2017, 50(11): 15-21.

导出引用管理器 EndNote|Ris|BibTeX

链接本文: https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.201703014

https://www.electricpower.com.cn/CN/Y2017/V50/I11/15

参考文献

[1] LEE K. Inverse dynamic neuro-controller for superheater steam temperature control of a large-scale ultra- supercritical(USC) boiler unit[C]// 6th IFAC Symposium on Power Plants and Power Systems Control. 2009: 107-112.
[2] MOELBAK T. Advanced control of superheater steam temperatures an evaluation based on practical applications[J]. Control Eng Pract, 1999, 7(1): 1-10.
[3] SANCHEZ LOPEZ A, ARROYO-FIGU EROAG, VILLAVICENCIO-RAMIREZ A. Advanced control algorithms for steam temperature regulation of thermal power plants[J]. Int J Electric Power Energy Syst, 2004, 26(10): 779-785.
[4] LIU XJ, CHAN CW. Neuro-fuzzy generalized predictive control of boiler steam temperature[J]. IEEE Trans Energy Convers, 2006,21(4): 900-908.
[5] VISIOLI A, PIAZZI A. An automatic tuning method for cascade control systems. In Proc [C]// 2006 IEEE International Conference on Control Applications. Munich, Germany, 2006: 2968-2973.
[6] LI X F. Application of fuzzy PID controller with self-adaptive algorithm and non-uniform gain scheduling to WFGD[R]. IFAC PP&PS, 2009, 5-8.
[7] MORARI M, ZAFIRIOU E. Robust process control[R]. Prentice Hall, Englewood Cliffs, NY, 1989.
[8] SKOGESTAD S. Simple analytic rules for model reduction and PID controller tuning[J]. Journal of Process Control, 2003, 13(4): 291-309.
[9] ZHANG W D. Quantitative process control theory [R]. CRC Press FL, USA 2011.
[10] LEVA A, DONIDA F. Autotuning in cascaded systems based on a single relay experiment[J].Journal Process Control, 2009, 19(5): 896-905.
[11] LEVA A. Fast autotuning of process cascade controls [C]// 18th IFAC World Congress. Seoul(Korea, July, 6-11), 2008: 15445-15450.
[12] WANG Y G, CAI W J, GE M. Decentralized relay-based multivariable process identification in the frequency domain[J]. IEEE Transactions on Automatic Control, 2003, 48(5): 873-878.
[13] LI X F, WANG Y G. IMC-PID controller design for power control loop based on closed-loop identification in the frequency domain [C]// 14th IFAC Symposium on Large Scale Complex Systems: Theory and Applications. CA, USA, 2016: 79-84.
[14] 李晓枫,王亚刚. 采用IMC-PID增强超临界机组功率控制的鲁棒性[J]. 中国电力,2016,49（6）：20-24.
LI Xiaofeng, WANG Yagang. Robustness enhancement of supercritical unit power control with IMC-PID controller[J]. Electric Power, 2016, 49(6): 20-24.

[1]	张兴平, 王腾, 张馨月, 张浩楠. 基于多智能体深度确定策略梯度算法的火力发电商竞价策略[J]. 中国电力, 2024, 57(11): 161-172.
[2]	牛海明, 于佼, 丁常富, 汪朝晖, 田彬. 基于多目标粒子群算法的过热汽温自抗扰控制[J]. 中国电力, 2020, 53(3): 126-133.
[3]	仝声, 刘乐, 王鹏飞. 基于多变量广义预测控制算法的两级过热汽温协调联动控制[J]. 中国电力, 2020, 53(10): 215-223.
[4]	杨明花, 张克涵. 基于高光谱图像和卷积神经网络的燃煤热值估计算法[J]. 中国电力, 2019, 52(9): 148-153.
[5]	张晓东, 王鹏飞, 刘乐. 基于多变量广义预测控制算法的脱硝优化研究及应用[J]. 中国电力, 2019, 52(10): 178-184.
[6]	李金晶, 焦开明, 赵振宁, 张清峰, 孙永春. 火力发电厂配煤掺烧的燃煤成本模型[J]. 中国电力, 2018, 51(9): 15-19.
[7]	蔡利军, 朱豫才, 吕霞, 吴真, 蒋鹏飞, 赵超, 张抗抗, 高兴. 模型预测控制在超超临界机组AGC协调控制和主汽温控制中的应用[J]. 中国电力, 2018, 51(7): 68-77.
[8]	郦建国, 朱法华, 孙雪丽. 中国火电大气污染防治现状及挑战[J]. 中国电力, 2018, 51(6): 2-10.
[9]	杜振, 魏宏鸽, 张杨, 朱跃. 高效脱硫协同除尘关键技术分析[J]. 中国电力, 2018, 51(6): 37-41.
[10]	王志杰, 王锡辉, 朱晓星, 郑重. 基于模糊数风险分析法的汽轮机自启动技术研究[J]. 中国电力, 2018, 51(5): 95-100.
[11]	刘百成, 赵红民, 赫胜杰, 李华威, 李美双, 张继文. 单系列辅机在洛阳热电厂应用实践[J]. 中国电力, 2018, 51(5): 101-105.
[12]	王占洲, 曹丽华, 卫洪刚, 杨明. 风电介入对汽轮机转子寿命影响分析[J]. 中国电力, 2018, 51(4): 101-107.
[13]	杨用龙, 苏秋凤, 张杨, 王建峰, 王仁雷, 胡妲, 朱跃. 双塔双循环脱硫系统优化与经济性运行研究[J]. 中国电力, 2018, 51(4): 136-142,179.
[14]	王立健, 何青, 李国庆. 汽轮机甩负荷对转子寿命损耗的仿真分析研究[J]. 中国电力, 2018, 51(10): 150-155.
[15]	杜振, 杨立强, 魏宏鸽, 叶伟平, 朱跃. 低低温电除尘器对粉尘特性和SO₃脱除效果影响分析[J]. 中国电力, 2017, 50(9): 125-128.

采用基于闭环辨识IMC-PID实现串级汽温的鲁棒控制

IMC-Based PID Controller Design for Cascade Control of Superheated Steam Temperature with Frequency Identification

RichHTML

PDF (PC)

可视化

被引次数

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

编辑推荐

Metrics

模态框（Modal）标题

采用基于闭环辨识IMC-PID实现串级汽温的鲁棒控制

IMC-Based PID Controller Design for Cascade Control of Superheated Steam Temperature with Frequency Identification

RichHTML

PDF (PC)

可视化

被引次数

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

编辑推荐

Metrics