感应电机的无传感器速度估计通过基于混沌的信号分析,使用最大密度的密度
Marlio Antonio Silva1, Jose Anselmo Lucena-Junior1, Julio Cesar da Silva1
1Graduate Program in Mechanical Engineering Department, Federal University of Paraiba (UFPB), João Pessoa 58051-900, Brazil.
Entropy (Basel, Switzerland)
|May 24, 2024
概括
这项研究引入了一种新的算法,用于估计使用混乱变量的三相感应电机的速度,从而消除了对昂贵和不可靠的传感器的需求. 这种无传感器的方法提供了更快,更准确的速度估计,即使在变量负载下.
科学领域:
- 电气工程 电气工程
- 控制系统 控制系统
- 非线性动力学是一种非线性动力学.
背景情况:
- 三相感应电机是消耗大量能源的关键工业部件.
- 准确的速度估计对于高效的电机操作和控制至关重要.
- 传统的速度传感器通常是昂贵的,不可靠的,不适合恶劣的环境.
研究的目的:
- 开发一种无传感器算法,用于估计三相感应电机的旋转速度.
- 为了利用最大密度的混乱变量来估计速度.
- 在响应时间和可靠性方面改进现有的速度估计技术.
主要方法:
- 分析来自电源的电机电流信号.
- 基于最大密度的混乱变量实现了一种新的算法.
- 拟议方法与基于富里埃变换的经典技术的比较.
主要成果:
- 拟议的算法准确地估计了没有侵入性传感器的电机轴转速.
- 与传统的富里埃转换方法相比,实现了显著较低的响应时间.
- 在可变负载条件下证明有效速度估计.
结论:
- 开发的基于混沌变量的算法提供了一种高效可靠的无传感器方法来估计感应电机的转速.
- 这种技术为传统的速度传感器提供了具有成本效益的替代方案.
- 该方法适用于需要快速准确的速度反的应用,即使在具有挑战性的工业环境中也是如此.
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