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Design of fuzzy-PID controller with derivative filter and its application using firefly algorithm to automatic generation control

机译:带微分滤波器的模糊PID控制器的设计及其在萤火虫算法中的应用

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In this study we introduced a heuristic and powerful optimization technique called firefly algorithm to tune the coefficients of fuzzy-PID controller along with derivative filter (FPIDF) for the frequency control of a unified power system with thermal non-reheat type turbine. The response of system is observed under Step Load Perturbation (SLP) of 10% in area 1. The frequency stability analysis is carried on two phases. In the first case the system responses are analyzed by giving a perturbation of 10% in area 1 and in later case the system load is increased by 10% for verifying its robustness. The dynamic response of the FPIDF controllers are observed in terms of minimum undershoots, settling time and maximum overshoots. Further the results obtained by this established method are also compared with those of Bacteria Foraging Optimization (BFO) tuned PI controller and Hybrid BFO-PSO tuned PI controller which are published in previous journals.
机译:在这项研究中,我们介绍了一种启发式且功能强大的优化技术,称为萤火虫算法,用于对模糊PID控制器的系数和微分滤波器(FPIDF)进行调整,以对具有热非再热式涡轮机的统一电力系统进行频率控制。在区域1中的10%阶跃负载扰动(SLP)下观察到系统的响应。频率稳定性分析分为两个阶段。在第一种情况下,通过在区域1中给出10%的扰动来分析系统响应,在后一种情况下,系统负载增加10%以验证其鲁棒性。 FPIDF控制器的动态响应从最小下冲,建立时间和最大过冲的角度进行观察。此外,还将通过此既定方法获得的结果与先前期刊上发表的细菌觅食优化(BFO)调整PI控制器和混合BFO-PSO调整PI控制器的结果进行比较。

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