基于LQR优化整定PD控制器的AVR系统

International Journal of Applied Science and Engineering Pub Date : 2022-09-12 DOI:10.30560/ijas.v5n1p8

Eman H. Jadoua, N. M. Diwood, Y. Azeez

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引用次数: 0

摘要

为了改善自动电压调节系统的动态性能，提出了一种基于优化PD控制器的线性二次型调节器(LQR)。基于生物地理的优化(BBO)用于调节控制器增益，平均绝对百分比误差(MAPE)成本函数用于确保有效性能。为了证明所建议的控制器的优点，进行了暂态研究，并与标准PD, LQR进行了比较，然后使用PD-LQR在(上升时间，稳定时间，最大超调和峰值时间)方面。最后，仿真结果表明，PD-LQR具有较好的控制效果和较快的反应速度，所推荐的控制器在增强AVR系统的暂态分析方面具有较强的稳定性。

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The LQR Based On Optimized Tuning PD Controller For AVR System

This study presents a Linear Quadratic Regulator (LQR) based on an optimizing PD controller to improve the dynamic performance of an automatic voltage regulation (AVR) system. Biogeography-based optimization (BBO) is used to adjust the controller gains, and the Mean Absolute Percentage Error (MAPE) cost function is used to ensure effective performance. To demonstrate the advantages of the suggested controller, a transient study was conducted and compared to a standard PD, LQR, and then used PD-LQR in terms of (Rising time, Settling time, Max Overshoot, and Peak time). Finally, simulations demonstrated that the PD-LQR gives satisfactory outcomes and a quicker reaction, which was evidently represented in the recommended controller's strong and steady performance in enhancing the transient analysis of the AVR system.

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来源期刊

International Journal of Applied Science and Engineering Agricultural and Biological Sciences-Agricultural and Biological Sciences (all)

CiteScore

2.90

自引率

0.00%

发文量

期刊介绍： IJASE is a journal which publishes original articles on research and development in the fields of applied science and engineering. Topics of interest include, but are not limited to: - Applied mathematics - Biochemical engineering - Chemical engineering - Civil engineering - Computer engineering and software - Electrical/electronic engineering - Environmental engineering - Industrial engineering and ergonomics - Mechanical engineering.