A filtered Smith predictor based subspace predictive controller

Paulo R. C. Mendes, J. Normey-Rico, V. Joao, Daniel Miranda Cruz
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Abstract

Abstract This paper presents a SPC based in the filtered Smith predictor structure in order to improve the performance of SPC when applied to a stable or integrative dead-time processes. This technique combines the robustness of subspace identification algorithms, the ability of predictive controllers to deal with multi variable processes and operational constraints and robustness of filtered Smith predictor in presence of model uncertainties. The proposed controller is applied in two simulation cases. The first is a boiler temperature control and the second is the control of effluent concentration and temperature in a stirred tank reactor. The obtained results show that the proposed strategy gives good performance when controlling dead-time processes considering estimation errors in dynamics and dead time.
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基于滤波Smith预测器的子空间预测控制器
摘要本文提出了一种基于滤波Smith预测器结构的SPC,以提高SPC在稳定或集成死时过程中的性能。该技术结合了子空间识别算法的鲁棒性、预测控制器处理多变量过程和操作约束的能力以及存在模型不确定性时滤波Smith预测器的鲁棒性。该控制器在两个仿真案例中得到了应用。第一种是锅炉温度控制,第二种是搅拌釜式反应器出水浓度和温度的控制。结果表明,考虑到动态估计误差和死区时间误差,该策略在控制死区过程方面具有良好的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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