Sugiura Katsumi, Fang Jiayi, Liu Kang-Zhi, Yamaguchi Takashi, Akiyama Takao
Department of Electrical and Electronic Engineering, Chiba University, Chiba, Japan.
Department of Electrical and Electronic Engineering, Chiba University, Chiba, Japan.
ISA Trans. 2024 Nov;154:445-454. doi: 10.1016/j.isatra.2024.08.016. Epub 2024 Aug 22.
In multi-mass systems, torsional vibration is a common and annoying phenomenon. Effective vibration suppression and robustness to wide-range parameter variations are essential for a sound motion system. However, most control methods focus on the primary resonance mode, and the high-order resonance modes are not actively treated in the control design, resulting in the control bandwidth not being high enough and limiting the control performance. This paper proposes a novel two-stage design scheme to realize a wideband control to improve control performance. First, a hybrid uncertainty model is tailored for multi-mass systems, which uses an equivalent and uncertain spring constant to describe the variation of the primary mode and a dynamic uncertainty to cover the other resonance modes. This hybrid model strikes a better balance between the model conservatism and the feasibility of a less conservative design. Then, the passivity of the parameter uncertainty is utilized to conduct a phase compensation on the nominal system. After the phase compensation, all uncertainties are converted into norm-bounded ones, and the robust performance design is carried out. This method is applied to vehicle drivetrain benches, and its superiority is validated through simulation comparisons and experiments on two typical types of drivetrain benches.
在多质量系统中,扭转振动是一种常见且令人烦恼的现象。有效的振动抑制以及对大范围参数变化的鲁棒性对于一个良好的运动系统至关重要。然而,大多数控制方法专注于主共振模式,并且在控制设计中并未对高阶共振模式进行主动处理,导致控制带宽不够高,限制了控制性能。本文提出一种新颖的两阶段设计方案以实现宽带控制来提高控制性能。首先,为多质量系统定制一个混合不确定性模型,该模型使用等效且不确定的弹簧常数来描述主模式的变化,并使用动态不确定性来涵盖其他共振模式。这种混合模型在模型保守性与不太保守设计的可行性之间取得了更好的平衡。然后,利用参数不确定性的无源性对标称系统进行相位补偿。相位补偿后,所有不确定性都转换为范数有界的不确定性,并进行鲁棒性能设计。该方法应用于车辆传动系试验台,并通过在两种典型类型的传动系试验台上进行仿真比较和实验验证了其优越性。