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子空间预测控制在固体氧化物燃料电池中的应用
  • 期刊名称：火力与指挥控制
  • 时间：0
  • 页码：99-103
  • 语言：中文
  • 分类：TP13[自动化与计算机技术—控制科学与工程;自动化与计算机技术—控制理论与控制工程]
  • 作者机构：[1]河北工业大学电气与自动化学院,天津300130
  • 相关基金：基金项目：国家自然科学基金（60504013）;河北省教育厅自然科学基金资助项目（ZH2006008）.
  • 相关项目：网络环境下的预测控制综合及其分布式实现
作者： 丁宝苍|焦克华|
关键词： 子空间辨识, 预测控制, 固体氧化物燃料电池, 动态模型, 约束处理, subspace identification,predictive control,solid oxide fuel cell,dynamics model ,constraints handling
中文摘要：

为使固体氧化物燃料电池（SOFC）输出满足一定约束的稳定电压、提高其输出功率跟踪性能，采用文献中给出的SOFC动态模型．设计了基于子空间矩阵的预测控制器。将子空间辨识和预测控制算法结合起来，直接从开环输入输出数据获得预测控制器的控制矩阵，而不须经过中问参数模型辨识的步骤。仿真结果验证了所提子空同预测控制算法（SPC）的实用性。

英文摘要：

For enabling the SOFC to generate stable output voltage which satisfies certain constraint, and improving the tracking performance of the SOFC output power, the SOFC dynamic model in the existing literature is adopted and a predictive controller based on the subspace matrix is designed. It combines the subspace identification method with predictive control algorithm, and obtains the control matrices in predictive controller from the open-loop input/output data. Thus, it does not need any step to identify the intermediate parametric model. A simulation result shows practicality of the proposed subspace predictive control algorithm（SPC）.

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