Design and performance evaluation of a novel fractional order PID control strategy for vehicle semi-active suspension

IF 2.1 4区 工程技术 Advances in Mechanical Engineering Pub Date : 2024-04-20 DOI:10.1177/16878132241241435
Gang Li, Han Xu, Zhiyong Ruan, Qianjie Liu, Yu Gan, Lifan Yu, Wencai Zhu, Guoliang Hu
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Abstract

The performance of a semi-active suspension depends on the quality of the control algorithm. Considering the limitations of conventional PID controllers within intricate nonlinear systems, such as imprecise parameter tuning and performance deterioration, we introduced a fractional-order PID (FOPID) control strategy for vehicle semi-active suspension, this approach amalgamates fractional-order theory with conventional PID control to enhance both the controllable scope and precision of the suspension system. Research on semi-active suspension control was conducted using a nonlinear dynamic model of a quarter vehicle. Simulations and analyses were performed utilizing random road excitation and impact road excitation as input signals for both FOPID control, Fuzzy-PID control, and conventional PID control strategies. The analysis findings demonstrated that in the presence of random road excitation, the semi-active suspension system controlled by FOPID reduced vehicle body acceleration by 18.9%, in contrast to a 14.7% reduction by the Fuzzy-PID-controlled suspension, and a 12% reduction achieved by the PID-controlled suspension when compared to the passive suspension. In response to impact road excitation, the suspension system under FOPID control effectively mitigated the peak value of vehicle body acceleration by 29.4%, surpassing the 25.2% reduction achieved by Fuzzy-PID-controlled suspension, and the 24.6% reduction achieved by the PID-controlled suspension. The simulation outcomes substantiated that ride comfort and handling stability of the semi-active suspension system were effectively improved by the implementation of FOPID control.
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用于车辆半主动悬架的新型分数阶 PID 控制策略的设计与性能评估
半主动悬架的性能取决于控制算法的质量。考虑到传统 PID 控制器在复杂非线性系统中的局限性,如不精确的参数调整和性能下降,我们为车辆半主动悬架引入了分数阶 PID(FOPID)控制策略,这种方法将分数阶理论与传统 PID 控制相结合,提高了悬架系统的可控范围和精度。对半主动悬架控制的研究是利用四分之一车辆的非线性动态模型进行的。利用随机路面激励和冲击路面激励作为 FOPID 控制、模糊 PID 控制和传统 PID 控制策略的输入信号,进行了模拟和分析。分析结果表明,在随机路面激励的情况下,由 FOPID 控制的半主动悬架系统与被动悬架相比,车身加速度降低了 18.9%,而 Fuzzy-PID 控制的悬架降低了 14.7%,PID 控制的悬架降低了 12%。在应对冲击路面激励时,FOPID 控制下的悬架系统有效降低了 29.4% 的车身加速度峰值,超过了 Fuzzy-PID 控制悬架降低的 25.2% 和 PID 控制悬架降低的 24.6%。仿真结果证明,通过实施 FOPID 控制,半主动悬架系统的乘坐舒适性和操控稳定性得到了有效改善。
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来源期刊
Advances in Mechanical Engineering
Advances in Mechanical Engineering Engineering-Mechanical Engineering
自引率
4.80%
发文量
353
期刊介绍: Advances in Mechanical Engineering (AIME) is a JCR Ranked, peer-reviewed, open access journal which publishes a wide range of original research and review articles. The journal Editorial Board welcomes manuscripts in both fundamental and applied research areas, and encourages submissions which contribute novel and innovative insights to the field of mechanical engineering
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