RBF-Based Fractional-Order SMC Fault-Tolerant Controller for a Nonlinear Active Suspension

Machines Pub Date : 2024-04-18 DOI:10.3390/machines12040270
Weipeng Zhao, Liang Gu
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Abstract

Active suspension control technologies have become increasingly significant in improving suspension performance for driving stability and comfort. An RBF-based fractional-order SMC fault-tolerant controller is developed in this research to guarantee ride comfort and handling stability when faced with the partial loss of actuator effectiveness due to failure. To obtain better control performance, fractional-order theory and the RBF algorithm are discussed to solve the jitter vibration problem in SMC, and the RBF is exploited to obtain a more appropriate switching gain. First, a half-nonlinear active suspension model and a fault car model are presented. Then, the design process of the RBF-based fractional-order SMC fault-tolerant controller is described. Next, a simulation is presented to demonstrate the effectiveness of the proposed strategy. According to the simulation, the proposed method can improve performance in the case of a healthy suspension, and the fault-tolerant controller can guarantee the capabilities when actuators go wrong.
基于 RBF 的分数阶 SMC 非线性主动悬架容错控制器
主动悬架控制技术在改善悬架性能以提高驾驶稳定性和舒适性方面的作用日益显著。本研究开发了一种基于 RBF 的分数阶 SMC 容错控制器,以保证在执行器因故障而部分失效时的驾乘舒适性和操控稳定性。为了获得更好的控制性能,本文讨论了分数阶理论和 RBF 算法来解决 SMC 中的抖动振动问题,并利用 RBF 算法获得了更合适的开关增益。首先,介绍了半非线性主动悬架模型和故障车模型。然后,介绍了基于 RBF 的分数阶 SMC 容错控制器的设计过程。然后,通过仿真证明了所提策略的有效性。根据仿真结果,在悬架健康的情况下,所提出的方法可以提高性能,而容错控制器可以保证执行器出错时的能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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