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一种新型高性能控制器的研究与应用

李军 刘哲 周永言

李军, 刘哲, 周永言.一种新型高性能控制器的研究与应用.自动化学报, 2020, 46(12): 2558−2571 doi: 10.16383/j.aas.c180241
引用本文: 李军, 刘哲, 周永言.一种新型高性能控制器的研究与应用.自动化学报, 2020, 46(12): 2558−2571 doi: 10.16383/j.aas.c180241
Li Jun, Liu Zhe, Zhou Yong-Yan. Research and application of a new higher performance controller. Acta Automatica Sinica, 2020, 46(12): 2558−2571 doi: 10.16383/j.aas.c180241
Citation: Li Jun, Liu Zhe, Zhou Yong-Yan. Research and application of a new higher performance controller. Acta Automatica Sinica, 2020, 46(12): 2558−2571 doi: 10.16383/j.aas.c180241

一种新型高性能控制器的研究与应用

doi: 10.16383/j.aas.c180241
基金项目: 

国家重点研发计划 2017YFB0903604

详细信息
    作者简介:

    刘哲  广东电网有限责任公司电力科学研究院高级工程师.主要研究方向为火电厂热工控制. E-mail: liuzheyoungman@163.com

    周永言  广东电网有限责任公司电力科学研究院副总工程师.主要研究方向为电力系统新技术应用研究和科技成果应用转化方面的管理工作. E-mail: zyy23443@126.com

    通讯作者:

    李军  广东电网有限责任公司电力科学研究院工程师.主要研究方向为计算机控制与通讯.本文通信作者. E-mail: lijun_87389@126.com

Research and Application of a New Higher Performance Controller

Funds: 

National Key Research and Development Program of China 2017YFB0903604

More Information
    Author Bio:

    LIU Zhe  Senior engineer at the Electric Power Research Institute of Guangdong Power Grid Co., Ltd. His research interest covers engineering experiment and scientific research in automatic control of power plant thermal processes

    ZHOU Yong-Yan  Deputy chief engineer at electric Power Research Institute of Guangdong Power Grid Co., Ltd. His research interest covers research and application of new technologies in power systems and management of the transformation of scientific and technological achievements

    Corresponding author: LI Jun  Engineer at the Electric Power Research Institute of Guangdong Power Grid Co., Ltd. His research interest covers computer control and communication engineering. Corresponding author of this paper
  • 摘要: 鉴于在控制实际中存在的不确定性问题, 提出了一种针对大滞后过程的不确定性抑制的新型高性能控制器(New higher performance controller, NHPC).基于在新型观测方法和新型控制方法包括新型滤波方法上的良好进展, 将一种新型超前观测器(New advanced observer, NAO)、一种内反馈控制器(Internal feedback controller, IFC)包括一种正弦跟踪滤波器(Sinusoid tracking filter, STF)等用于构造NHPC.将NHPC运用于大滞后过程控制, 能够对较宽的范围内的时变性和非线性等不确定性问题进行较好的抑制.数学分析、仿真实验和实际电力控制工程应用的结果验证了本文所提观点和方法的正确性和有效性.
    Recommended by Associate Editor QIAO Jun-Fei
    1)  本文责任编委 乔俊飞
  • 图  1  二阶惯性滤波器内部结构示意图

    Fig.  1  The inside structure diagram of second order inertial filter

    图  2  滤波特性对比示意图

    Fig.  2  Comparison diagram of filter characteristics

    图  3  新型超前观测器的频率特性示意图

    Fig.  3  Frequency characteristic diagram of new advanced observer

    图  4  新型超前观测过程示意图

    Fig.  4  The diagram of new advanced observer process

    图  5  新型高性能控制器示意图

    Fig.  5  The diagram of new higher performance controller

    图  6  NHPC开环系统相位稳定裕度

    Fig.  6  The diagram of open loop system phase stability margin of NHPC

    图  7  PID开环系统相位稳定裕度

    Fig.  7  The diagram of open loop system phase stability margin of PID

    图  8  内模控制系统示意图

    Fig.  8  The diagram of internal model control system

    图  9  IMC开环系统相位稳定裕度

    Fig.  9  The diagram of open loop system phase stability margin of IMC

    图  10  控制特性仿真实验结果(意图 1)

    Fig.  10  The results of control characteristic simulation (NO. 1)

    图  11  控制特性仿真实验结果(意图 2)

    Fig.  11  The results of control characteristic simulation (NO. 2)

    图  12  控制特性仿真实验结果(意图 3)

    Fig.  12  The results of control characteristic simulation (NO. 3)

    图  13  控制特性仿真实验结果(意图 4)

    Fig.  13  The results of control characteristic simulation (NO. 4)

    图  14  控制特性仿真实验结果(意图 5)

    Fig.  14  The results of control characteristic simulation (NO. 5)

    图  15  控制特性仿真实验结果(意图 6)

    Fig.  15  The results of control characteristic simulation (NO. 6)

    图  16  控制特性仿真实验结果(意图 7)

    Fig.  16  The results of control characteristic simulation (NO. 7)

    图  17  控制特性仿真实验结果(意图 8)

    Fig.  17  The results of control characteristic simulation (NO. 8)

    图  18  控制特性仿真实验结果(意图 9)

    Fig.  18  The results of control characteristic simulation (NO. 9)

    图  19  优化前锅炉主控系统控制特性示意图

    Fig.  19  The control properties of boiler master control system before optimization

    图  20  锅炉主控系统优化示意图

    Fig.  20  The optimization diagram of boiler master control system

    图  21  优化后锅炉主控系统控制特性示意图

    Fig.  21  The control properties of boiler master control system after optimization

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  • 收稿日期:  2018-04-23
  • 录用日期:  2018-11-28
  • 刊出日期:  2020-12-29

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