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汽车安全与节能学报

汽车安全与节能学报 ›› 2023, Vol. 14 ›› Issue (4): 439-447.DOI: 10.3969/j.issn.1674-8484.2023.04.005

• 汽车安全 • 上一篇    下一篇

汽车非线性主动悬架系统的自适应事件触发控制

贾俊茹1,2(), 郑黎明1,2,*(), 张镇1   

  1. 1.汕头大学工学院，汕头 515063，中国
    2.智能制造技术教育部重点实验室，汕头 515063，中国
  • 收稿日期:2023-03-31 修回日期:2023-05-18 出版日期:2023-08-31 发布日期:2023-08-31
  • 通讯作者: *郑黎明(1964—)，副教授。E-mail：lmzhang@stu.edu.cn。
  • 作者简介:贾俊茹(1992—), 女(汉)，河南，硕士研究生。E-mail: 21jrjia@stu.edu.cn。

Active control for vehicle nonlinear suspension systems based on adaptive event-triggered mechanism

JIA Junru1,2(), ZHENG Liming1,2,*(), ZHANG Zhen1   

  1. 1. Institute of Energy and Environmental Science of Shantou University, Shantou 515063, China
    2. Key Laboratory of Intelligent Manufacturing Technology of MOE, Shantou 515063, China
  • Received:2023-03-31 Revised:2023-05-18 Online:2023-08-31 Published:2023-08-31

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摘要：

针对汽车非线性主动悬架提出一种基于区间二型模糊模型的自适应事件触发控制方法，以实现悬架系统乘坐舒适性和通信资源节约性能的双重提升。建立非线性悬架系统的区间二型模糊模型，准确描述悬架系统弹性元件和阻尼器的非线性特征；引入自适应事件触发通信机制，相比传统的采样通信机制能够有效节约通信资源，同时保证系统良好的控制性能；基于时滞理论构建非线性悬架自适应事件触发控制的闭环系统模型，提出事件触发器和模糊控制器的协同设计方法。结果表明：在保证系统稳定性和性能约束的同时，所提方法的车身加速度降低52.12%，悬架动行程减小45.81%，轮胎动载荷减少31.91%，且事件触发频率降低44.33%。该方法能够有效提升悬架系统的乘坐舒适性，实现通信资源的有效节约。

关键词: 非线性悬架系统, 二型模糊模型, 事件触发, 悬架控制

Abstract:

An adaptive event-triggered control method was presented based on an interval type-2 fuzzy model for vehicle nonlinear active suspensions to simultaneously improve the performance of the ride comfort and saving communication resource. An interval type-2 fuzzy model of nonlinear suspension system was established to accurately characterize the nonlinear characteristics of spring and damper. An adaptive event-triggered strategy was employed, which can effectively save communication resources and ensure control performance of the system comparing with the traditional sampling communication mechanism. Based on the theory of time delay, the closed-loop system model of adaptive event-triggered control of nonlinear suspension was constructed to obtain a co-design method of the event generator and the fuzzy controller. The results show that the proposed strategy can reduce the body acceleration by 52.12%, suspension dynamic travel by 45.81%, tire dynamic load by 31.91%, and frequency of event trigger by 44.33% while ensuring the system stability and performance constraints. It has better performance and is more effective to improve the ride comfort of suspension and to realize the effective saving of communication resources compared with the existing method.

Key words: nonlinear suspension systems, type-2 fuzzy model, event-triggered, suspension control

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