识别与控制相关的信号路径,以半活跃的车辆悬架与磁铁修复学阻尼器的信号路径
1Department of Measurements and Control Systems, Silesian University of Technology, Akademicka 16, 44-100 Gliwice, Poland.
Sensors (Basel, Switzerland)
|July 8, 2023
概括
本研究确定了使用磁修学 (MR) 阻尼器在半活性悬浮中的控制信号路径. 该方法分解振动信号,以了解MR阻尼器对车辆动态的影响,用于自适应式悬挂控制.
科学领域:
- 汽车工程 汽车工程
- 控制系统工程 控制系统工程
- 振动分析 振动分析
背景情况:
- 带有磁修学 (MR) 阻尼器的半活性悬浮提供适应性阻尼.
- 识别控制信号路径对于优化MR阻尼器性能至关重要.
- 同时的道路激发和MR阻尼器控制构成了复杂的识别挑战.
研究的目的:
- 开发和验证一种用于识别MR阻尼器配备的半活性悬浮中与控制相关的信号路径的方法.
- 分析控制电流配置对车辆响应的影响.
- 为了使先进的自适应式悬挂控制算法的合成.
主要方法:
- 使用全地形车辆,专用激发器和MR阻尼器的实验设置.
- 应用状路刺激 (12 Hz) 和宽带随机控制信号 (25 Hz带宽).
- 车身加速信号的分解成与道路和控制相关的组件.
- 使用传感器数据识别与控制相关的模型的频域识别.
主要成果:
- 成功识别了与控制相关的信号路径及其依赖频率的共振.
- 证明了车辆响应对MR阻尼器控制电流配置的依赖.
- 估计的车辆模型参数和诊断站特征.
- 揭示了车辆负载对控制相关信号路径特征的影响.
结论:
- 开发的识别方法对MR半活性悬浮剂有效.
- 已识别的模型可用于自适应式悬挂控制算法开发 (例如,FxLMS).
- 适应式悬架提高了适应不断变化的道路和车辆条件的适应性.
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