通过对Coot Optimizer的改进设计,为PEMFC设计一个新的最佳控制器
Zheng Wang1, Mehrdad Rezaie2, Gholamreza Fathi3,4
1Chongqing Chemical Industry Vocational College, Chongqing, 401220, China. wz15923012499@sina.com.
Scientific reports
|May 14, 2025
概括
一个新的改进的Coot优化算法 (ICOA) 优化了质子交换膜燃料电池 (PEMFC) 的PID控制器,通过减少电压波动和超标来提高稳定性和寿命.
科学领域:
- 能源系统 能源系统
- 控制工程 控制工程 控制工程
- 计算智能是一种计算智能.
背景情况:
- 质子交换膜燃料电池 (PEMFCs) 需要精确的电压调节,以获得最佳的性能和寿命.
- 现有的控制策略可能无法充分解决电压波动和超速,影响PEMFC寿命.
- 直流/直流转换器是管理PEMFC输出电压的关键组件.
研究的目的:
- 通过使用直流/直流转换器,为PEMFC引入一种新的最佳控制策略.
- 通过先进的控制来提高PEMFC的性能和延长运营寿命.
- 使用改进的Coot优化算法 (ICOA) 优化一个比例整合导数 (PID) 控制器.
主要方法:
- 开发和应用了具有自适应和混乱机制的改进的Coot优化算法 (ICOA).
- 一个PID控制器的优化,用于精确调节PEMFC堆的电压.
- 基于模拟的比较分析与非优化系统和其他控制技术相比.
主要成果:
- 与非优化性能相比,ICOA优化的PID控制器显著降低了电压波动和超标 (例如2.47%的超标,4.7秒的结算时间减少).
- 在PEMFC电压调节中表现出卓越的动态响应和稳定性.
- 对比分析证实了实质性的系统增强和减少当前和超越波纹.
结论:
- 提出的基于ICOA的PID控制策略有效地提高了PEMFC的性能和寿命.
- 与其他算法相比,ICOA算法显示了优化能力的统计学上显著改善 (较低的RMSE,p<0.05).
- 这项研究证实了ICOA在燃料电池技术的先进控制应用方面的潜力.
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