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整车主动悬架滑模控制及多目标优化

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为改善车辆主动悬架系统性能,在建立整车主动悬架系统模型的基础上,结合滑模变结构控制理论,提出了一种基于多目标优化的主动悬架系统控制参数的优化方法.基于滑模面到达条件结合李雅普诺夫稳定性理论对滑模控制器进行稳定性验证,建立以车身侧倾角加速度、车身俯仰角加速度和车身垂直加速度为控制目标的多目标优化问题,并利用粒子群算法对控制器参数进行优化.仿真结果表明,优化后主动悬架系统的3 个控制目标函数值较优化前分别减小了 10.3%、27.3%和20.0%,基于多目标优化的整车主动悬架滑模控制策略改善了整车的乘坐舒适性和操纵稳定性.
Sliding mode control and multi-objective optimization of the whole vehicle active suspension
In order to improve the performance of vehicle active suspension system,a multi-objective op-timization method for control parameters of active suspension system is proposed based on the established vehicle active suspension system model and sliding mode variable structure control theory.Based on the arrival condition of the sliding mode surface and Lyapunov stability theory,the stability of the sliding mode controller is verified.A multi-objective optimization problem is established with vehicle roll angle acceleration,vehicle pitch angle acceleration,and vehicle vertical acceleration as the control objectives.The controller parameters are optimized using the particle swarm optimization algorithm.The simulation results show that the three control objective functions of the optimized active suspension system have de-creased by 10.3%,27.3%,and 20.0%,respectively,compared to pre-optimization.The sliding mode control strategy for the vehicle active suspension based on multi-objective optimization improves the ride comfort and handling stability of the vehicle.

whole vehicle active suspensionsliding mode controlmulti-objective optimizationparticle swarm optimization algorithmnumerical analysis

高坤明、孙术华、邵素娟

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淄博职业学院 汽车工程学院,山东 淄博 255300

山东理工大学 交通与车辆工程学院,山东 淄博 255049

整车主动悬架 滑模控制 多目标优化 粒子群算法 数值分析

2025

山东理工大学学报(自然科学版)
山东理工大学

山东理工大学学报(自然科学版)

影响因子:0.311
ISSN:1672-6197
年,卷(期):2025.39(1)