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高温气冷核反应堆变负荷过程的非线性模型预测控制
  • ISSN号：1001-4160
  • 期刊名称：计算机与应用化学
  • 时间：2012
  • 页码：49-55
  • 分类：TQ015.9[化学工程] TP391.9[自动化与计算机技术—计算机应用技术;自动化与计算机技术—计算机科学与技术]
  • 作者机构：[1]浙江大学控制科学与工程系,浙江杭州310027
  • 相关基金：国家自然科学基金（No.60934007,No.60804023）,国家重点基础研究发展计划（973）项目（No.2009CB320603）
  • 相关项目：约束模型预测控制的理论和高效算法
作者： 沈桦|赵均|徐祖华|
关键词： 高温气冷核反应堆, 模型预测控制, LPV模型, 模型辨识, High temperature gas-cooled nuclear reactor, Model predictive control, LPV model, Model, identification
中文摘要：

HTR-PM作为采用高温气冷堆以及“两堆带一机”特殊结构的新型核电站系统，其本身具有强耦合、非线性等复杂特性；HTR—PM自身的参数在运行过程中也会随负荷的变化而变化，动态特性发生很大的偏移。本文提出了一种适用于HTR-PM变负荷过程的非线性预测控制策略，基于操作轨迹LPV模型的辨识方法，克服了HTR—PM耦合、非线性及参数时变等问题。仿真结果表明，本文提出的方法能提高HTR-PM变负荷过程中的运行平稳性，各项控制指标均高于控制要求，明显优于线性模型预测控制方法。

英文摘要：

As a new type of nuclear power plant with an advanced high temperature gas-cooled mlclear reactor and a special mode called ＂Dual-Modules with One-Turbine （DMOT）, HTR-PM has several complex features such as strong coupling and nonlinearity. Parameter varying caused by Load changing operation with wide range makes HTR-PM＇s dynamic characteristic change significantly which also increases the difficulty of control. In this paper, an efficient model predictive control strategy is proposed for HTR-PM load changing operation control. Operating-trajectory LPV models is used here to overcome strong coupling, nonlinearity and parameter varying. Simulation results show that the proposed predictive control strategy can improve the operation stationarity of HTR-PM during load changing process and has much better performance than linear model predictive control.

同期刊论文项目
约束模型预测控制的理论和高效算法
期刊论文 152 会议论文 106 获奖 24 专利 21 著作 2
空分变负荷过程的时间最优模型预测控制策略研究
期刊论文 15 会议论文 2 专利 1
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期刊信息
  • 《计算机与应用化学》
  • 北大核心期刊（2011版）
  • 主管单位:中国科学院
  • 主办单位:中国科学院过程工程研究所
  • 主编：王基铭
  • 地址：北京中关村北二街1号
  • 邮编：100080
  • 邮箱：jshx@home.ipe.ac.cn
  • 电话：010-62558482
  • 国际标准刊号：ISSN：1001-4160
  • 国内统一刊号：ISSN：11-3763/TP
  • 邮发代号:82-500
  • 获奖情况:
  • 1991年中国科学院优秀期刊三等奖,2000年中国科学院优秀期刊三等奖,1998年中国科技期刊影响因子工程类第二名,中国期刊方阵“双效”期刊
  • 国内外数据库收录:
  • 美国化学文摘（网络版）,日本日本科学技术振兴机构数据库,中国中国科技核心期刊,中国北大核心期刊（2004版）,中国北大核心期刊（2008版）,中国北大核心期刊（2011版）,中国北大核心期刊（2000版）
  • 被引量:9060