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Identification and Model Predictive Control Design of a Polymer Extrusion Process

机译:聚合物挤出过程的识别与模型预测控制设计

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This paper deals with the challenging problem of closed-loop identification and Model Predictive Control (MPC) design in multivariable chemical processes and particularly in a co-rotating twin screw extruder processing powder coatings. To this aim, identification tests based on step response excitation signals were designed to estimate a low order process model in order to assist the model based control design of the process. Then, a discrete time predictive controller was developed to regulate the extruder and improve its control performance and disturbance rejection properties. The predictive control strategy exploits sets of Laguerre orthogonal functions to express the projected control trajectory. The process under MPC control was tested using different simulation scenarios and the results have shown very good performance with fast settling times and good disturbance rejection properties.
机译:本文涉及多变量化学工艺中闭环识别和模型预测控制(MPC)设计的挑战性问题,特别是在共旋转双螺杆挤出机加工粉末涂料中。为此目的,基于步进响应激励信号的识别测试被设计为估计低阶过程模型,以帮助基于模型的过程的控制设计。然后,开发了离散时间预测控制器以调节挤出机并改善其控制性能和干扰抑制特性。预测控制策略利用Laguerre正交功能的集合来表达投影控制轨迹。使用不同的仿真方案测试MPC控制下的过程,结果表明了快速沉降时间和良好的干扰抑制特性表现出很好的性能。

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