Active Reduction of Transient Driveline Oscillations with Fuzzy Update Timings of Control Input
Active Reduction of Transient Driveline Oscillations with Fuzzy Update Timings of Control Input
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DOI：
10.1109/iccma56665.2022.10011457
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发表时间：
2022-11
期刊：
影响因子：
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通讯作者：
Heisei Yonezawa;Ansei Yonezawa;Takashi Hatano;Shigeki Hiramatsu;C. Nishidome;I. Kajiwara
中科院分区：
文献类型：
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作者：
Heisei Yonezawa;Ansei Yonezawa;Takashi Hatano;Shigeki Hiramatsu;C. Nishidome;I. Kajiwara
在汽车传动系统的主动振动抑制中，本研究提出了一种针对时变长控制周期限制的有效模糊推理补偿方法。首先，提供了具有控制周期限制的简化传动系统模型，用于研究主动阻尼策略。作为基线阻尼策略，采样数据 H∞ 控制器用于减轻由于长控制周期而导致的离散化误差的影响。此外，控制周期迫使执行器的控制输入更新定时与固定周期控制器的控制输入更新定时相比受到干扰。补偿的核心思想是将这些不确定的时序视为“大约过去的时序”和“大约未来的时序”等模糊集合。所提出的模糊逻辑基于 Mamdani 型推理和一些规则简单地计算不同时间的可行阻尼命令。通过各种情况的仿真测试，证实了所提方法的优越鲁棒性。
In active vibration suppression for automotive drivelines, this research presents an effective fuzzy inference compensation for the time-varying long control cycle limitation. First, a simplified driveline model with the control cycle limitation is provided for investigating active damping strategy. As a baseline damping strategy, a sampled-data H∞ controller is used to mitigate effects of discretization errors due to the long control cycles. In addition, the control cycles force the control input updating timing of the actuator to be perturbed from that of the fixed periodical controller. The core idea of the compensation is to regard these uncertain timings as fuzzy sets such as "Approximately past timing" and "Approximately future timing". The proposed fuzzy logic simply computes feasible damping commands at various timings based on Mamdani-type reasoning with a few rules. Through simulation tests with various situations, the superior robustness of the proposed method is confirmed.