神经模糊模式加上最佳PI控制,用于控制直流-直流转换器
Muhammed Süleyman1, Tarık Veli Mumcu1
1Department of Electrical-Electronics Engineering, Istanbul University-Cerrahpasa, Istanbul, Türkiye.
Science progress
|February 27, 2025
概括
本研究介绍了一种新级别控制器,它结合了比例整合 (PI) 控制器和神经模糊控制器,以提高太阳能系统的效率. 与仅使用神经模糊控制器相比,提出的方法显著提高了DC-DC转换器的效率,至少提高了15%.
科学领域:
- 可再生能源系统可再生能源系统
- 控制工程 控制工程 控制工程
- 电力电子 电力电子 电力电子
背景情况:
- 全球各国政府都在优先考虑太阳能等可再生能源,以减少对化石燃料的依赖.
- 提高太阳能系统的效率,特别是DC-DC转换器,对于最大限度地提高能源产量至关重要.
- 太阳能系统的非线性特征可以挑战PID等传统控制器,需要先进的控制策略.
研究的目的:
- 开发和评估太阳能系统中DC-DC转换器的新型级联控制方案.
- 提高太阳能系统的动态和稳定状态性能.
- 为了在不同的条件下提高整体效率和最大功率点跟踪 (MPPT) 能力.
主要方法:
- 提出了一种连锁控制策略,将一个优化的比例整合 (PI) 控制器与一个神经模糊控制器集成在一起.
- 使用粒子集群优化 (PSO) 来有效调整PI控制器的参数.
- 神经模糊控制器利用功率和电流变化作为输入来调节工作周期,直接影响输出电压.
主要成果:
- 拟议的级联控制器显示,与独立的神经模糊控制器相比,DC-DC转换器的效率显著提高了至少15%.
- 优化的PI控制器,只有两个调参数,减少了设计时间,同时提高了系统响应.
- 整方位误差 (ISE) 分析证实了设定点跟踪和干扰拒绝的最小跟踪误差.
结论:
- 优化PI控制器与神经模糊控制器的集成为太阳能直流-直流转换器提供了卓越的控制解决方案.
- 提出的方法有效地提高了在各种环境条件下系统的效率和稳定性.
- 这种先进的控制策略有助于更可靠,更高效的太阳能收集.
相关概念视频
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Proportional-Integral (PI) controllers are essential in many control systems to improve stability and performance. They are commonly used in everyday devices like thermostats to enhance system damping and reduce steady-state error. When the zero in the controller's transfer function is optimally placed, the system benefits significantly in terms of stability and accuracy.
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01:07Time-Domain Interpretation of PD Control
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01:19PID Controller
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01:26PD Controller: Design
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01:24Frequency-Domain Interpretation of PD Control
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