| 核电稳压器内模PID优化控制 |
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| 引用本文： | 李永玲,黄宇,马进,王兵树. 核电稳压器内模PID优化控制[J]. 动力工程, 2013, 0(11): 858-864 |
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| 作者姓名： | 李永玲 黄宇 马进 王兵树 |
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| 作者单位： | [1]华北电力大学控制与计算机工程学院,保定071003 [2]保定电力职业技术学院动力工程系,保定071051 |
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| 基金项目： | 中央高校基本科研业务费专项资金资助项目（12MS117） |
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| 摘 要： | 针对核电站稳压器非线性、时变和多扰动的特点,基于内模控制理论设计了内模PID控制系统,为进行内模PID控制器参数整定,提出了一种高速收敛的量子粒子群算法,经典型函数测试验证了算法的有效性并应用于参数寻优.仿真结果表明：所提出的内模PID控制系统的控制效果优于常规PID控制系统,在对象模型特性改变或模型具有扰动的情况下,内模PID控制器仍能取得较好的控制效果,在鲁棒性和抗干扰能力方面均具有较强优势.
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| 关 键 词： | 稳压器 压力控制 内模控制 量子粒子群算法 PID控制 |
Optimization on Internal Model PID Control for Nuclear Power Pressurizers |
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| LI YonglingSchool of Control and Computer Engineering,North China Electric Power University,Baoding,China;School of Power Engineering,Baoding Electric Power Voc.＆ Tech.College,Baoding,China HUANG YuSchool of Control and Computer Engineering,North China Electric Power University,Baoding,China MA JinSchool of Control and Computer Engineering,North China Electric Power University,Baoding,China WANG Bingshu. Optimization on Internal Model PID Control for Nuclear Power Pressurizers[J]. Power Engineering, 2013, 0(11): 858-864 |
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| Authors: | LI YonglingSchool of Control Computer Engineering,North China Electric Power University,Baoding,China School of Power Engineering,Baoding Electric Power Voc.＆ Tech.College,Baoding,China HUANG YuSchool of Control Computer Engineering,North China Electric Power University,Baoding,China MA JinSchool of Control Computer Engineering,North China Electric Power University,Baoding,China WANG Bingshu |
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| Affiliation: | LI Yongling(School of Control and Computer Engineering, North China Electric Power University,Baoding 071003, China;School of Power Engineering, Baoding Electric Power Voc.＆ Tech.College, Baoding 071051, China) HUANG Yu(School of Control and Computer Engineering, North China Electric Power University,Baoding 071003, China) MA Jin(School of Control and Computer Engineering, North China Electric Power University,Baoding 071003, China) WANG Bingshu(School of Control and Computer Engineering, North China Electric Power University,Baoding 071003, China) |
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| Abstract: | Based on the internal model control （IMC） principle and considering that the pressurizer system of nuclear power plant has the properties of large inertia,time-variation and multi-disturbances,an inter nal model-PID control system was developed.To tune the internal model PID controller parameters,a quantum particle swarm algorithm with high speed convergence was proposed for parameters optimization,of which the effectiveness was verified by classical test functions.Simulation results show that the internal model PID controller has better control effects than conventional PID control systems,and when the attribute of object model changes or the model is disturbed,good control effects can still be obtained by the internal model PID controller,which has higher robustness and anti-interference capability. |
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| Keywords: | pressurizer pressure control internal model control quantum particle swarm optimization （QPSO） PID control |
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