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Experimental implementation of The MP-GM (Maximum Peak - Gain Margin) tuning method: a tuning method for 2Dof-IMC under uncertainty process

机译:MP-GM(最大峰-增益裕度)调整方法的实验实现:不确定过程中2Dof-IMC的调整方法

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摘要

Internal Model Control (IMC) yields very good performance for set point tracking, but gives sluggish response for disturbance rejection problem. A two-degree-of-freedom IMC (2DOF-IMC) has been developed to overcome the weakness. However, the setting of parameter becomes a complicated matter if there is an uncertainty model. The present study implements a new tuning method for the controller. The proposed tuning method consists of three steps: Firstly, determine the worst case of the model uncertainty. Secondly, specify the parameter of set point controller using maximum peak (Mp) criteria. And finally, obtain the parameter of the disturbance rejection controller using gain margin (GM) criteria. The method is denoted as Mp-GM tuning method. The effectiveness of Mp-GM tuning method has evaluated and compared with IMCTUNE as bench mark. In the present study, evaluation and comparison have been done through the experimental test rig of the air heater system. Although, the air heater process has two regions that are very different characteristic, the Mp-GM tuning method are able to obtain the good controller parameter even under process uncertainties.
机译:内部模型控制(IMC)可以很好地跟踪设定点,但是对于干扰抑制问题却反应迟钝。已经开发了一种两自由度的IMC(2DOF-IMC)来克服这一弱点。但是,如果存在不确定性模型,则参数的设置将变得很复杂。本研究为控制器实现了一种新的调整方法。所提出的调整方法包括三个步骤:首先,确定模型不确定性的最坏情况。其次,使用最大峰值(Mp)标准指定设定点控制器的参数。最后,使用增益裕度(GM)准则获得干扰抑制控制器的参数。该方法表示为Mp-GM调谐方法。对Mp-GM调谐方法的有效性进行了评估,并与IMCTUNE作为基准进行了比较。在本研究中,评估和比较已通过空气加热器系统的实验测试台完成。尽管空气加热器过程具有两个特性非常不同的区域,但是Mp-GM调整方法即使在过程不确定的情况下也能够获得良好的控制器参数。

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