Fuzzy-reasoning-based robust vibration controller for drivetrain mechanism with various control input updating timings

Fuzzy-reasoning-based robust vibration controller for drivetrain mechanism with various control input updating timings
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DOI:
10.1016/j.mechmachtheory.2022.104957
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发表时间:
2022-09
影响因子:
5.2
通讯作者:
Heisei Yonezawa;Ansei Yonezawa;Takashi Hatano;Shigeki Hiramatsu;C. Nishidome;I. Kajiwara
Heisei Yonezawa;Ansei Yonezawa;Takashi Hatano;Shigeki Hiramatsu;C. Nishidome;I. Kajiwara
中科院分区:
工程技术1区
文献类型:
--
作者:
Heisei Yonezawa;Ansei Yonezawa;Takashi Hatano;Shigeki Hiramatsu;C. Nishidome;I. Kajiwara

文献摘要

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针对动力传动系统振动主动控制问题,提出了一种基于模糊推理的执行器时变控制周期限制补偿策略。简化的动力传动系统的动力学模型,并与控制周期限制的仿真配置构造。采用采样控制器的模型预测补偿,以解决由于控制周期时变而引起的控制输入的最大相位延迟。控制输入的更新时间,这是从固定周期控制器的扰动,表示为模糊集,如“近似过去的步骤”和“近似未来的步骤”。基于这些模糊集,Tsukamoto型模糊推理只有四个直观的规则,可以灵活地推断未知的控制输入更新在不同的时间。仿真结果表明,所提出的方法的振动性能的2-范数降低了27.8%以上,与以前的其他控制器。此外,它揭示了更好的瞬态性能,甚至可以保持10%的植物参数变化,表明所提出的阻尼控制器的高鲁棒性。
For active vibration control of powertrain oscillations, the purpose of this research is to present a simple fuzzy-reasoning-based compensation strategy for a time-varying control cycle limitation of an actuator. A simplified drivetrain dynamics model is shown, and the simulation configuration with the control cycle limitation is constructed. A model predictive compensation using a sampled-data controller is employed to tackle the maximal phase delay of the control input due to the time-varying control cycle. The control input update timing, which is perturbed from that of the fixed periodical controller, is expressed as fuzzy sets such as “Approximately past step” and “Approximately future step”. Based on these fuzzy sets, the Tsukamoto-type fuzzy reasoning with only four intuitive rules can flexibly infer unknown control inputs updated at various timings. Simulation verifications demonstrate that the 2-norm of the vibration performance by the proposed method is reduced by more than 27.8% compared to other previous controllers. Moreover, it is revealed that the better transient performance can be maintained even with 10% plant parameter variations, indicating the high robustness of the proposed damping controller.