电机机械能源收割机的最佳控制
Dario Lucente1, Alessandro Manacorda2, Andrea Plati3
1Department of Mathematics & Physics, University of Campania "Luigi Vanvitelli", Viale Lincoln 5, 81100 Caserta, Italy.
Entropy (Basel, Switzerland)
|March 28, 2025
概括
研究人员通过随着时间的推移调整电阻来优化能量收获器的随机控制协议. 动态控制策略优于恒定电阻,最大限度地从机械振动中提取平均功率.
科学领域:
- 将控制理论应用于随机系统.
- 专注于节能采集的最佳控制协议.
背景情况:
- 确定性控制理论技术越来越多地用于随机过程.
- 最佳控制旨在最大限度地提高奖励功能,同时在环境波动下管理系统状态.
研究的目的:
- 通过使用能量收割机模型,研究对随机系统的最佳控制策略.
- 为了确定时间变化的控制参数是否可以提高性能,而不是恒定的参数.
主要方法:
- 应用控制理论工具到一个随机能量收割机模型.
- 在接近静止状态的扰动状态下分析了最佳控制.
- 研究了时间变化的电阻对电力提取的影响.
主要成果:
- 开发了一类随机系统的最佳控制协议.
- 证明了随时间变化的电阻协议与恒定电阻相比,产生更高的平均功率提取.
- 与静态控制解决方案相比,展示了更好的性能.
结论:
- 最佳的控制策略可以显著提高能源采集效率.
- 系统参数的动态调整,如电阻,是最大化在随机环境中输出功率的关键.
- 该研究为设计用于随机能量收割机的高级控制协议提供了一个框架.
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