积极悬架控制,以提高驾驶舒适度和车辆性能,使用基于HHO的I型和II型模糊逻辑
Tayfun Abut1, Enver Salkim2,3, Harun Tugal4
1Department of Mechanical Engineering, Mus Alparslan University, 49250 Muş, Türkiye.
Biomimetics (Basel, Switzerland)
|October 28, 2025
概括
这项研究通过使用类型I和类型II模糊逻辑控制 (FLC) 等主动策略来增强车辆悬挂控制,并通过哈里斯·霍克斯优化 (HHO) 算法进行优化. 与被动系统相比,新系统显著降低了振动,改善了驾驶舒适度和车辆操控能力.
科学领域:
- 汽车工程 汽车工程
- 控制系统 控制系统
- 计算智能是一种计算智能.
背景情况:
- 由于道路引起的振动,被动车辆悬架系统难以平衡驾驶舒适性和操控性.
- 主动悬挂控制为克服传统系统的局限性提供了一个有希望的解决方案.
研究的目的:
- 开发和评估先进的主动悬挂控制策略,以提高车辆动态和乘客舒适度.
- 调查通过哈里斯·霍克斯优化 (HHO) 算法优化的I型和II型模糊逻辑控制 (FLC) 的有效性.
主要方法:
- 设计和实施类型I和类型II模糊逻辑控制器 (FLC) 用于主动车辆悬架.
- 使用哈里斯·霍克斯优化 (HHO) 算法优化FLC会员功能.
- 在两个不同的道路干扰场景下基于模拟的性能评估.
主要成果:
- 积极控制策略在减轻振动方面明显优于被动悬挂.
- 第二种类型的FLC表现出了显著的改善:第一个输入的车身位移减少了54.7%,加速减少了76.8%,第二个输入的75.2%和72.8%.
- 分析证实了增强的驾驶舒适性和车辆操控性,悬架和轮胎偏移减少.
结论:
- 优化的主动悬挂控制,特别是II型FLC,为减轻振动提供了卓越的解决方案.
- 提出的方法有效地提高了车辆的稳定性,行驶质量和整体驾驶性能.
- 优化HHO的FLC为先进的汽车悬挂控制系统提供了一种可行的方法.
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