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Grasshopper optimization algorithm for automatic voltage regulator system

机译:自动电压调节器系统的蚱蜢优化算法

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A novel design method is presented to determine optimum proportional-integral-derivative (PID) controller parameters of an automatic voltage regulator (AVR) system utilizing the grasshopper optimization algorithm (GOA). The proposed approach is a simple and effective algorithm that is able to solve many optimization problems even those with unknown search spaces effectively. The simplicity of algorithm provides high quality tuning of optimal PID controller parameters. The integral of time weighted squared error (ITSE) is used as the performance index to confirm the performance of the proposed GOA-PID controller. When compared to the other PID controllers based on Ziegler- Nichols (ZN), differential evolution (DE), and artificial bee colony (ABC) tuning methods, the proposed method is found highly effective and robust to improve AVR system's transient response.
机译:提出了一种新颖的设计方法,以确定利用蚱蜢优化算法(GOA)的自动电压调节器(AVR)系统的最佳比例积分衍生物(PID)控制器参数。所提出的方法是一种简单有效的算法,能够有效地解决许多优化问题,即使是那些有未知的搜索空间的优化问题。算法的简单性提供了高质量的PID控制器参数调谐。时间加权方形错误(ITSE)的积分用作性能索引,以确认所提出的GOA-PID控制器的性能。与基于Ziegler-Nichols(Zn)的其他PID控制器相比,差分演进(DE)和人造蜂菌落(ABC)调整方法,该方法被发现高效且坚固,以改善AVR系统的瞬态响应。

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