一个新的Gudermannian功能驱动控制器架构,由星优化器优化,以实现自动电压调节的优越过渡性能
Davut Izci1,2, Serdar Ekinci3, Mostafa Jabari4
1Department of Electrical and Electronic Engineering, Bursa Uludag University, 16059 Bursa, Turkey.
Biomimetics (Basel, Switzerland)
|January 27, 2026
概括
本研究介绍了一种基于Gudermannian函数的PID控制器,用于自动电压调节器. 使用海星算法进行了优化,它显著提高了动态动力系统中的瞬态性能.
科学领域:
- 电气工程 电气工程
- 控制系统 控制系统
背景情况:
- 自动电压调节器 (AVR) 系统对于保持电网稳定至关重要.
- 传统的PID控制器与高度动态的条件和巨大的信号变化作斗争.
研究的目的:
- 开发一个使用古德尔曼尼亚函数的增强型PID控制器,以提高AVR短暂性能.
- 使用星优化算法 (SFOA) 来优化控制器参数.
主要方法:
- 古德曼尼的功能被集成到一个PID控制器结构 (G-PID).
- 为了实现最佳的参数调整,采用了星优化算法 (SFOA).
- 进行了模拟,以评估在动态条件下的瞬态性能.
主要成果:
- 优化了SFOA的G-PID控制器实现了快速上升时间 (0.0551秒) 零超速和快速沉降时间 (0.0830秒).
- 与各种优化算法和高级控制方案相比,拟的控制器表现出优越的性能.
- 该G-PID控制器显示了对大信号变化和有效的超速抑制的增强适应性.
结论:
- 拟议的SFOA优化的G-PID控制器为高性能电压调节提供了计算效率高,结构简单的解决方案.
- 这种方法显著提高了AVR系统在现代电网中的短暂响应.
- 古德曼尼的功能集成提供了一个强大的方法来提高控制器的适应性和稳定性.
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