Modelling and identification for control of gas bearings
Modelling and identification for control of gas bearings
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DOI：
10.1016/j.ymssp.2015.09.016
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发表时间：
2016-03
影响因子：
8.4
通讯作者：
L. Theisen;H. Niemann;I. Santos;R. Galeazzi;M. Blanke
中科院分区：
文献类型：
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作者：
L. Theisen;H. Niemann;I. Santos;R. Galeazzi;M. Blanke
气体轴承因其高速性能、低摩擦和清洁操作而受到欢迎，但阻尼差，这对存在干扰的安全操作提出了挑战。反馈控制可以实现增强的阻尼，但需要在其整个操作范围内的主导动态的低复杂度模型。第一性原理模型是复杂的，对参数的不确定性敏感。本文提出了一种实验技术，用于“原位”识别的转子轴承致动器系统的低复杂度模型，并演示了在相关范围内的旋转速度和气体喷射压力的识别。这是使用参数变化的线性模型，发现捕捉占主导地位的动态。该方法易于应用，适合后续控制设计。基于所确定的模型，分散比例控制的设计和显示，以获得所需的阻尼理论和实验室试验台。
Gas bearings are popular for their high speed capabilities, low friction and clean operation, but suffer from poor damping, which poses challenges for safe operation in presence of disturbances. Feedback control can achieve enhanced damping but requires low complexity models of the dominant dynamics over its entire operating range. Models from first principles are complex and sensitive to parameter uncertainty. This paper presents an experimental technique for “in situ” identification of a low complexity model of a rotor–bearing–actuator system and demonstrates identification over relevant ranges of rotational speed and gas injection pressure. This is obtained using parameter-varying linear models that are found to capture the dominant dynamics. The approach is shown to be easily applied and to suit subsequent control design. Based on the identified models, decentralised proportional control is designed and shown to obtain the required damping in theory and in a laboratory test rig.