开发和验证用于关节式车辆模型识别的双传感器凸校准方法
1Department of Structural Engineering, Tongji University, Shanghai 200092, China.
Sensors (Basel, Switzerland)
|December 23, 2023
概括
一种新的双传感器凸校准方法 (DHCM) 准确地识别动态模拟的车辆模型. 这种方法改进了关节式车辆的单传感器凸校准方法 (SHCM).
科学领域:
- 车辆动力学和模拟
- 系统识别和校准 系统识别和校准
- 机械工程和汽车应用.
背景情况:
- 准确的车型识别对于模拟动态反应至关重要.
- 现有的方法,如单传感器位校准方法 (SHCM) 有局限性,特别是在复杂的关节车辆.
- 人们认识到需要强大的方法来识别装载和空载车辆模型.
研究的目的:
- 开发和验证一种新的双传感器位校准方法 (DHCM) 用于识别车辆模型.
- 为了比较DHCM与不同车型的现有SHCM的性能.
- 为了提高关节车辆动态响应模拟的准确性.
主要方法:
- 开发了两步DHCM:使用参数灵敏度分析优化传感器布局,并通过反向建模识别系统识别.
- 应用DHCM和SHCM校准小型和多轴联动车辆模型.
- 模拟垂直加速和分析功率光谱密度 (PSDs) 用于模型验证.
主要成果:
- 与SHCM相比,DHCM识别的模型在模拟动态响应方面表现出更高的准确性,在低频范围内相对误差低于16%.
- DHCM成功地确定了小型和多轴接车辆的模型.
- 发现SHCM仅适用于小型车型.
结论:
- DHCM是用于车辆型号识别的更有效和多功能方法,特别是在形车辆中.
- DHCM可以实现更准确的动态响应模拟,这对于各种工程应用至关重要.
- 该研究强调了传感器优化在系统识别车辆动态方面的重要性.
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