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Online Tuning of Set-point Regulator with a Blending Mechanism Using PI Controller

机译:使用PI控制器通过混合机制在线调节设定值调节器

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摘要

In this paper, a new control structure that exploits the advantages of one degree of freedom (1-DOF) and two degree of freedom (2-DOF) control structures with an online tuned set-point regulator with blending mechanism (SPR-BM) is proposed. In this structure, the filtered output of the reference and the pure reference signals are blended so that the overall performance of the system is ameliorated with respect to load disturbance rejection and set-point following. Internal Model Control (IMC) based PI controller is used as the primary controller and the blending dynamics are determined with the aim of producing a system output that tries to match to the filtered reference signal. After performing certain manipulations through some approximations, the resulting blending dynamics turn out to be a constant within the range of zero and one. Then, an online intelligence is injected into SPR-BM that changes the blending constant between its extreme values. The effectiveness of the proposed structure is shown both on a simulation example and on a PT-326 heat transfer process trainer experimental setup.
机译:在本文中,一种新的控制结构利用了带有混合机制的在线调谐设定点调节器(SPR-BM)的一个自由度(1-DOF)和两个自由度(2-DOF)控制结构的优势被提议。在这种结构中,将参考信号和纯参考信号的滤波输出进行混合,以便改善系统的整体性能(针对负载干扰抑制和设定点跟随)。基于内部模型控制(IMC)的PI控制器用作主要控制器,并确定混合动态,以产生试图与滤波后的参考信号匹配的系统输出。在通过一些近似执行某些操作后,结果混合动态结果显示为介于零和一之间的常数。然后,在线智能被注入到SPR-BM中,从而改变了其极限值之间的混合常数。在仿真示例和PT-326传热过程训练器实验装置上均显示了所提出结构的有效性。

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