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离线方法与在线优化相结合的混合型鲁棒预测控制
  • 期刊名称：河北科技大学学报
  • 时间：0
  • 页码：208-211
  • 语言：中文
  • 分类：TP273[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—检测技术与自动化装置]
  • 作者机构：[1]重庆电子工程职业学院,重庆401331, [2]重庆大学自动化学院,重庆400044
  • 相关基金：国家自然科学基金项目（60874046）; 重庆市高等教育学会课题（CQGJ13C767）
  • 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|李孝录|曾强|
关键词： 子空间辨识, 预测控制, 自适应策略, 2-CSTR, subspace identification, model predictive control, adaptive strategy, 2-CSTR
中文摘要：

针对常规控制方法在模型比较复杂的化工生产过程中控制效果不佳且过程具有非线性时变的特点,提出一种新型的滚动窗口自适应子空间预测控制方法.由输入输出数据通过子空间辨识方法获得子空间预估器,将子空间预估器作为预测模型,设计一种滚动窗口自适应预测控制器,并引入决定系数来过滤不良数据.通过对2-CSTR系统过程控制的仿真试验,验证了所提出控制方法的有效性.

英文摘要：

In order to deal with the problems that the control performance is not satisfied when the conventional control methods are applied to the chemical processes and the nonlinear,time-varying characteristics in the processes,a novel receding window adaptive subspace predictive control method has been proposed.The subspace predictor,obtained through the subspace identification algorithm from input-output data,is regarded as the prediction model to design the receding window adaptive predictive controller.Meanwhile,the coefficient of determination has been introduced to filter the bad data.The process control simulations of a 2-CSTR system show the effectiveness of the proposed method.

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多速率采样时滞系统离线预测控制的稳定性综合
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