使用最近的元启发算法对PIDN和分数顺序控制器进行四分之一汽车主动悬架系统的比较优化
Ferdi Özbilgin1, Onur Özdal Mengi1, Abdul Wadood2,3
1Department of Electrical and Electronics Engineering, Giresun University, Giresun, Türkiye.
Scientific reports
|October 9, 2025
概括
先进的控制器优化车辆悬挂,以提高舒适性和操控性. 混合微分顺序PI加PD (FOPI+FOPD) 控制器的逃逸优化算法 (ESC) 调整在抑制振动方面被证明最有效.
科学领域:
- 车辆动力学和控制系统工程.
- 机械电子和智能控制策略.
背景情况:
- 活动悬架系统对于提高车辆驾驶舒适度和驾驶稳定性至关重要.
- 为非线性车辆动力学调整先进控制器提出了重大挑战.
研究的目的:
- 为了研究四分之一汽车主动悬架模型的控制.
- 为了比较比例积分导数与波器 (PIDN) 和混合微分顺序PI加PD (FOPI+FOPD) 控制器.
- 为了优化控制器参数,使用六种新的元启发算法.
主要方法:
- 实施和模拟PIDN和FOPI+FOPD控制器,用于四分之一的车型.
- 在参数调整中使用了六个元启发算法:ECO,ESC,FATA,JHO,MELGWO和SFOA.
- 使用MATLAB/Simulink进行模拟和性能评估.
主要成果:
- 优化ESC的FOPI+FOPD控制器展示了卓越的抑制振动的能力.
- 这种控制器在减少峰值超越和结算时间方面明显优于经典和模糊逻辑控制器.
- 优化的控制器确保了主动悬挂系统的增强控制稳定性.
结论:
- 通过ESC算法优化的混合FOPI+FOPD控制器,为主动悬挂控制提供了一个高度有效的解决方案.
- 强大的优化技术对于最大限度地提高智能汽车悬挂系统的性能至关重要.
- 这项研究强调了先进的分数顺序控制与元启发式优化相结合的潜力.
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