一个孤立的功率转换器的神经适应控制器
1Department of Electrical Engineering, NIT Uttarakhand, Uttarakhand, India.
ISA transactions
|December 1, 2024
概括
这项研究介绍了用于隔离功率转换器的神经适应控制器,增强了对未知参数的弹性. 控制器通过实时模拟验证,通过适应系统变化来确保稳定的输出电压.
科学领域:
- 电气工程 电气工程
- 控制系统 控制系统
- 人工智能的人工智能
背景情况:
- 孤立的功率转换器经常面临未知系统参数的挑战.
- 现有的模型可能无法考虑非结构化参数,从而影响性能.
- 智能控制技术对于提高转换器稳定性至关重要.
研究的目的:
- 为孤立的功率转换器设计一个神经适应控制器.
- 解决和补偿结构化和非结构化未知参数.
- 为了提高功率转换器输出的弹性和灵活性.
主要方法:
- 开发一个神经适应控制器架构.
- 神经元/激活功能的集成,以处理非结构性属性.
- 应用利亚普诺夫稳定性分析来导出适应规律.
- 实时模拟使用OPAL-RT平台进行验证.
主要成果:
- 拟议的控制器证明了对结构化和非结构化因素的适应能力.
- 神经元数量的增加提高了转换器输出弹性和灵活性.
- 适应性增强增强确保实现目标输出电压.
- 通过利亚普诺夫函数证实了稳定性,适应规律修改了神经重量.
结论:
- 神经适应控制器有效地管理孤立功率转换器中的未知参数.
- 该控制器为稳定的电压调节提供了强大而适应性的解决方案.
- 实时模拟验证了控制器的性能和稳定性.
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