基于使用模糊技术进行参数调整的汽车悬架系统的主动干扰排斥控制
1Faculty of Mechanical Engineering, Thuyloi University, Hanoi, Vietnam.
PloS one
|January 15, 2025
概括
这项研究引入了一种基于模糊 (ADRCBF) 的新型主动干扰排斥控制方法,用于车辆主动悬架系统. ADRCBF显著降低了道路粗造成的车辆振动,性能优于传统的PID控制.
科学领域:
- 汽车工程 汽车工程
- 控制系统理论 控制系统理论
- 机械振动 - 机械振动
背景情况:
- 由于道路表面粗而引起的车辆振动是一种显著的干扰.
- 现有的主动悬挂控制设计往往忽视干扰的影响,降低性能.
- 需要改进控制策略,以在不同的道路条件下减轻振动.
研究的目的:
- 为减少车辆振动的活跃悬架系统提出一种新的控制方法.
- 通过积极拒绝道路干扰来提高主动悬架的性能.
- 通过尽量减少外部干扰的影响,提高驾驶舒适度和系统稳定性.
主要方法:
- 开发了一种混合控制策略:基于模糊的主动干扰拒绝控制 (ADRCBF).
- 使用扩展状态观察器 (ESO) 进行状态和干扰估计.
- 使用动态模糊技术调整控制参数,具有特殊的会员功能.
- 在各种激发情况下通过数值模拟评估性能.
主要成果:
- 与被动和PID控制的活性悬浮相比,ADRCBF显著降低了弹质量的加速和位移.
- 悬架的行程密切跟踪了道路干扰,错误最小.
- 扩展状态观察器 (ESO) 显示出高准确度,估计误差不超过3.5%的阴侧刺激和随机刺激.
- 拟议的方法确保了系统在各种操作条件下的适应性.
结论:
- ADRCBF技术有效地减轻了道路干扰引起的车辆振动.
- 这种先进的控制策略比PID控制等传统方法提供了更高的性能.
- 模糊调节的ADRC方法为主动悬架系统提供了强大的和可适应的控制.
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