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A novel optimal PIλDND2N2 controller using coyote optimization algorithm for an AVR system
Engineering Science and Technology, an International Journal ( IF 5.1 ) Pub Date : 2021-05-14 , DOI: 10.1016/j.jestch.2021.04.010
Ioannis Moschos , Constantinos Parisses

In this paper, a novel PIλDND2N2 controller is designed for an Automatic Voltage Regulator (AVR) in a power system and is studied in this paper. AVR is responsible for keeping the terminal voltage of a synchronous generator at a specified interval. The proposed control design is achieved by deploying for the first-time the coyote optimization algorithm (COA) in an AVR system by optimizing a novel objective function. A comparison is made among the proposed controller and FOPID, PID, PIDA and PIDD2 controllers optimized by others metaheuristic algorithms in the literature. The comparison is deducted in terms of transient response and disturbance rejection. From the simulations it is concluded that the proposed method outperforms other methods in the literature. Furthermore, the stability of the proposed design is examined via the location of the closed-loop poles and frequency response. Moreover, the robustness of the controller is tested under model uncertainties. In both tests the proposed method displays an outstanding performance.



中文翻译:

一种新的最佳PI λ DND 2 Ñ 2使用狼优化算法用于AVR系统控制器

在本文中,一种新颖的PI λ DND 2 Ñ 2控制器被设计成用于自动电压调节器(AVR)在电力系统中,并在本文中进行了研究。AVR负责将同步发电机的端电压保持在指定的时间间隔。通过优化新的目标函数,在AVR系统中首次部署土狼优化算法(COA),从而实现了所提出的控制设计。在建议的控制器与FOPID,PID,PIDA和PIDD 2之间进行了比较由文献中其他元启发式算法优化的控制器。根据瞬态响应和干扰抑制来推导比较。从仿真中可以得出结论,所提出的方法优于文献中的其他方法。此外,通过闭环极点的位置和频率响应来检查所提出设计的稳定性。此外,在模型不确定性下测试了控制器的鲁棒性。在这两个测试中,所提出的方法均显示出出色的性能。

更新日期:2021-05-14
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