非线性多变量过程分散PI控制器的萤火虫算法部分回归

K. Rangasamy, L. Sivakumar
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引用次数: 3

摘要

本工作旨在利用萤火虫算法对阿尔斯通气化炉分散PI控制器的控制器参数进行重新调整。煤气化炉是一个涉及许多复杂反应的高度非线性、多变量过程,似乎难以控制。阿尔斯通气化炉现有分散PI控制器的性能不能满足0%负荷条件下正弦压力扰动的要求,但似乎足以满足50%和100%负荷条件下的约束。这是由于分散PI控制器的调整不当造成的,这里我们尝试使用萤火虫算法(FA)重新调整负责压力回路的PI控制器。将压力环PI控制器的现有参数替换为返回的参数,并进行压力扰动试验(正弦和阶跃)、负荷变化试验和煤质试验,并与现有结果进行对比。结果表明,该工艺在不违反约束条件的情况下满足0%、50%和100%负载条件下的性能要求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Partial-retuning of decentralised PI controller of nonlinear multivariable process using firefly algorithm
This work aims to retune the controller parameters of decentralised PI controller of Alstom gasifier using Firefly algorithm. Coal gasifier is a highly nonlinear, multivariable process involving many complex reactions, and it seems to be difficult to control. The performance of the existing decentralised PI controller of Alstom gasifier does not able to satisfy the requirements at 0% load condition for sinusoidal pressure disturbance except which it seems to be good enough to meet the constraints at 50% and 100% load conditions. This is due to improper tuning of decentralised PI controllers and here we attempt to retune the PI controller responsible for pressure loop, using Firefly Algorithm (FA). Existing parameters of PI controller for pressure loop is replaced by the retuned parameters and pressure disturbance test (both sinusoidal and step), load change test and coal quality test are conducted and compared with the existing results. Results shows that the process satisfies the performance requirements at 0%, 50% and 100% load conditions without violating the constraints.
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