Modeling of Level Control System using IMC-PID Tuning Method with Filter Tuning Factor Variation on Steam Drum Boiler of Power Plant

Lailatul Mukarromah, P. Permatasari, E. Tridianto
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Abstract

The steam drum is one of the components in the boiler that functions to separate water from steam, before the production of dry steam in the superheater. To produce quality dry steam, the water level in the steam drum boiler must be maintained at NWL (Normally Water Level) conditions. To control the water level in the steam drum boiler, a stable control is needed and has a fast response, and is close to a real plant such as PID control. One method to determine control parameters is the Internal Model Control (IMC-PID) tuning method, the IMC-PID tuning method has a very effective performance as a controller, especially in the maximum overshoot and settling time performance parameters. To speed up the control system’s response so that it is by the desired set point, a feedback control strategy is combined with feedforward to overcome the disturbance that occurs. In this research, aims to model a steam drum level control system with several variations of filter factor ($\lambda$) values are used as particular parameters in the Internal Model Control (IMC-PID) tuning method, it shows that the performance of the designed control system can realize the set point and deal with the given disturbance. From several variations of the filter factor ($\lambda$) value, variation $\lambda$=1 with parameter value Kp=0.860; $\tau_{i}=14.07$ and $\tau_{D}=14.54$ offers the best performance when dealing with changes in the set point and disturbances of pm 5%.
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带滤波整定因子变化的IMC-PID整定方法对电厂汽包锅炉液位控制系统建模
蒸汽鼓是锅炉中的一个部件,在过热器中产生干蒸汽之前将水和蒸汽分离。为了产生优质干蒸汽,汽包锅炉的水位必须保持在NWL(正常水位)状态。为了控制汽包锅炉的水位,需要一种稳定的、响应速度快的、接近真实装置的控制方法,如PID控制。确定控制参数的一种方法是内模控制(IMC-PID)整定方法,IMC-PID整定方法作为一种控制器具有非常有效的性能,特别是在最大超调量和稳定时间性能参数方面。为了加快控制系统的响应速度,使其达到期望的设定值,将反馈控制策略与前馈控制策略相结合,以克服发生的干扰。在本研究中,旨在建立一个以过滤因子($\lambda$)的几个变化值作为特定参数内模控制(IMC-PID)整定方法中的汽包液位控制系统,结果表明所设计的控制系统的性能可以实现设定点和处理给定的干扰。从滤波因子($\lambda$)值的几个变化来看,变化$\lambda$ =1,参数值Kp=0.860;$\tau_{i}=14.07$和$\tau_{D}=14.54$在处理设定点的变化和PM 5的干扰时提供了最佳性能%.
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