车辆半主动悬架系统的时滞补偿控制及稳定性分析

IF 10.2 1区 工程技术 Q1 ENGINEERING, MECHANICAL Mechanical Systems and Signal Processing Pub Date : 2025-04-01 Epub Date: 2025-02-04 DOI:10.1016/j.ymssp.2025.112414
Guanggang Ji , Shaohua Li , Guizhen Feng , Zhengchuan Li , Xiaoguan Shen
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引用次数: 0

摘要

为了提高车辆的平顺性和操纵稳定性,提出了一种改进的Takagi-Sugeno (T-S)模糊Smith预测时滞补偿控制策略。首先,建立了具有时滞的车辆半主动悬架模型,分析了不同时滞大小对悬架性能的影响。然后,结合时滞微分方程理论,设计了改进的Smith预测时滞补偿控制器。最后,将半主动悬架的T-S模糊控制器与改进的Smith预测时延补偿控制器相结合,建立了半主动悬架系统的改进T-S模糊Smith预测时延补偿控制器。不同工况下的仿真和实验结果表明,所提出的控制策略能有效降低时滞对车辆半主动悬架系统的影响,显著改善半主动悬架系统的动态性能,对工况具有较强的自适应能力。为半主动悬架及其控制系统的研究提供了一种新的方法和思路。
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Time-delay compensation control and stability analysis of vehicle semi-active suspension systems
With the aim of enhancing the ride comfort and handling stability of vehicles, an improved Takagi-Sugeno (T-S) fuzzy Smith predictive time-delay compensation control strategy (ITSFS) is proposed. Firstly, the vehicle semi-active suspension model with time-delay is established, and the influence of different time-delay sizes is analyzed. Then, combining the theory of time-delay differential equations, the improved Smith predictive time-delay compensation controller is designed. Finally, by combining the semi-active suspension T-S fuzzy controller with the improved Smith predictive time-delay compensation controller, an improved T-S fuzzy Smith predictive time-delay compensation controller for the semi-active suspension system is established. The simulation and experimental results under different operating conditions show that the proposed control strategy can effectively reduce the impact of time-delay on the vehicle semi-active suspension system, significantly improve the dynamic performance of the semi-active suspension system, and have strong adaptive ability to operating conditions. It provides a new method and idea for the research of the semi-active suspension and its control system.
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来源期刊
Mechanical Systems and Signal Processing
Mechanical Systems and Signal Processing 工程技术-工程:机械
CiteScore
14.80
自引率
13.10%
发文量
1183
审稿时长
5.4 months
期刊介绍: Journal Name: Mechanical Systems and Signal Processing (MSSP) Interdisciplinary Focus: Mechanical, Aerospace, and Civil Engineering Purpose:Reporting scientific advancements of the highest quality Arising from new techniques in sensing, instrumentation, signal processing, modelling, and control of dynamic systems
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