基于高增益差分器的神经适应任意顺序的滑动模式控制设计,用于独立风力发电系统的MPE
Ammar Ali1, Qudrat Khan2, Safeer Ullah3
1Department of Electrical Engineering, Bahria University, Islamabad, Pakistan.
PloS one
|January 18, 2024
概括
本研究介绍了一种新的最大功率点跟踪 (MPPT) 控制器,用于使用任意顺序滑动模式控制 (AOSMC) 的风能系统. 它有效地处理测量噪声,以最大限度地从永磁同步发电机 (PMSG) 提取电力.
科学领域:
- 电气工程 电气工程
- 可再生能源系统可再生能源系统
- 控制理论 控制理论
背景情况:
- 独立的风能转换系统 (WECS) 与永磁同步发电机 (PMSG) 需要高效的最大功率点跟踪 (MPPT).
- 测量噪声对现有的MPPT控制器的性能和可靠性构成重大挑战.
- 需要先进的控制策略来增强电力提取和系统稳定性.
研究的目的:
- 引入一个新的MPPT控制器,用于独立的WECS与PMSG.
- 解决和克服与WECS测量噪声相关的挑战.
- 提高风能转换的整体效率和实用性.
主要方法:
- 实现任意订单滑动模式控制 (AOSMC) 以实现稳健的跟踪.
- 将WECS模型转换为一个控制方便的输出输出形式.
- 用于非线性函数估计的Feedforward神经网络 (FFNN) 和用于导数估计的高增益观察器 (HGO) 的集成.
主要成果:
- 提出的基于AOSMC的控制器有效地减轻了测量噪声的影响.
- FFNN准确地估计了非线性系统函数,而HGO提供了可靠的高阶衍生值估计.
- 与现有方法相比,Matlab中的模拟结果在最大限度地提取功率方面表现出卓越的性能.
结论:
- 新型MPPT控制器为使用PMSG的独立WECS提供了实用和有效的解决方案.
- AOSMC,FFNN和HGO的组合提高了控制的稳定性和功率提取效率.
- 这种方法代表了可再生能源控制技术的重大进步.
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