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。
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.
出处
《计算机与应用化学》
CAS
CSCD
北大核心
2012年第1期49-55,共7页
Computers and Applied Chemistry
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)
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
