改进的自适应滑动模式观察器的设计,用于飞轮储能系统的充/放电控制
Shiyong Xiao1, Zhihao Han2, Guowei Cai2
1Department of Electrical Engineering, Northeast Electric Power University, Jilin, 130012, China. 20213037@neepu.edu.cn.
Scientific reports
|April 28, 2025
概括
本研究引入了改进的自适应滑动模式观察器 (SMO),以提高飞轮能量存储系统中旋转器位置估计的准确性. 这种新方法有效地减少了聊天和波的过,以提高性能.
科学领域:
- 电气工程 电气工程
- 控制系统 控制系统
- 储能 储能 储能 储能 储能 储能
背景情况:
- 传统的滑动模式观测器 (SMO) 在估计背部电机力 (EMF) 时会出现喋喋不休和不准确.
- 飞轮储能系统 (FESS) 面临着独特的挑战,因为高速,速度差异很大,控制策略频繁切换.
- 精确的转子位置估计对于FESS的高效运行和控制至关重要.
研究的目的:
- 提出一个改进的适应性SMO,以克服传统中小企业的局限性.
- 为了提高FESS中转子位置和转速估计的准确性.
- 为FESS制定一个量身定制的充电和放电控制战略.
主要方法:
- 重新设计的滑动模式表面和伸缩规则,包括整体滑动模式和功率伸缩规则.
- 使用连续的sigmoid函数作为滑动模式切换函数来加快融合并减轻聊天.
- 实现了适应性控制,用于反向EMF过和声和改进的相锁循环 (PLL) 来纠正旋转器转速变化.
主要成果:
- 拟议的适应性SMO有效地抑制了聊天,并提高了动态响应速度.
- 适应式的EMF控制过了高频波,避免了喋喋不休和相位延迟.
- 改进的PLL提高了旋转器转速和位置估计的准确性,即使在不同的速度.
结论:
- 改进的自适应SMO提供了一个强大的解决方案,用于在FESS中准确估计旋转器位置.
- 重新设计的控制策略和自适应过提高了系统性能和稳定性.
- 模拟结果验证了FESS应用的拟议方法的有效性和实用性.
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