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一种采用模糊方法调谐的模糊滑模比例积分控制算法的新方法(FSMPIF)。

A novel approach with a fuzzy sliding mode proportional integral control algorithm tuned by fuzzy method (FSMPIF).

机构信息

Thuyloi University, Hanoi, Vietnam.

出版信息

Sci Rep. 2023 May 5;13(1):7327. doi: 10.1038/s41598-023-34455-7.

Abstract

An automobile's vibration can be caused by stimulation from the road's surface. The change in displacement and acceleration values of the sprung mass is used to evaluate the automobile's vibration. Utilizing an active suspension system is recommended in order to attain an increased level of ride comfort. This article presents a novel strategy for regulating the operation of an active suspension system that has been put up for consideration. The PI (Proportional Integral) algorithm, the SMC (Sliding Mode Control) algorithm, and the Fuzzy algorithm served as the basis for developing the FSMPIF algorithm. The signal generated by the SMC algorithm is what is used as the input for the Fuzzy algorithm. In addition, the settings of the PI controller are modified with the help of yet another Fuzzy algorithm. These two Fuzzy methods operate independently from one another and in a setting that is wholly distinct from one another. This algorithm was created in a wholly original and novel way. Using a numerical modelling technique, the vibration of automobiles is investigated with a particular emphasis on two distinct usage situations. In each case, a comparison is made between four different circumstances. Once the FSMPIF method is implemented, the results of the simulation process have demonstrated that the values of displacement and acceleration of the sprung mass are significantly decreased. This was determined by looking at the values before and after implementing the new algorithm. In the first case, these figures do not surpass a difference of 2.55% compared to automobiles that use passive suspension systems. The second case sees these figures falling short of 12.59% in total. As a direct result, the automobile's steadiness and level of comfort have been significantly improved.

摘要

汽车的振动可能是由路面的激励引起的。利用簧载质量的位移和加速度值的变化来评估汽车的振动。为了达到更高的乘坐舒适性,建议采用主动悬架系统。本文提出了一种新的主动悬架系统控制策略。PI(比例积分)算法、SMC(滑模控制)算法和模糊算法被用来开发 FSMPIF 算法。SMC 算法产生的信号作为模糊算法的输入。此外,另一个模糊算法可以帮助修改 PI 控制器的设置。这两个模糊方法彼此独立,设置完全不同。该算法是全新的。采用数值建模技术,重点研究了两种不同的使用情况,对汽车的振动进行了研究。在每种情况下,对四种不同情况进行了比较。在实施 FSMPIF 方法后,仿真结果表明,簧载质量的位移和加速度值显著降低。通过观察实施新算法前后的值来确定这一点。在第一种情况下,这些数值与使用被动悬架系统的汽车相比,不超过 2.55%的差异。在第二种情况下,这些数值总共相差 12.59%。因此,汽车的稳定性和舒适性得到了显著提高。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cb56/10162975/3d01af8df5d1/41598_2023_34455_Fig1_HTML.jpg

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