具有高频动态和扰动的植物直接数字自适应控制中的混叠效应

E. D. Sumer, D. Bernstein
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引用次数: 4

摘要

在本文中,我们考虑了存在混叠的采样数据自适应控制,这种混叠可能是由于被测对象的高频自由响应,也可能是由于干扰中的高频内容。特别是,我们对应用于采样数据命令跟踪和干扰抑制问题的回顾性成本自适应控制(RCAC)进行了数值研究,并研究了存在混叠的RCAC的性能。结果表明,除非不稳定模式的可控性不因采样而丧失,否则RCAC能够在高频动态下稳定被控对象。然而,由于干扰的混叠,样本间命令执行性能可能是非零的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Aliasing effects in direct digital adaptive control of plants with High-Frequency Dynamics and Disturbances
In this paper we consider sampled-data adaptive control in the presence of aliasing, due to either the high-frequency free response of the plant, or the high-frequency content in the disturbances. In particular, we present a numerical investigation of retrospective cost adaptive control (RCAC) applied to sampled-data command-following and disturbance-rejection problems, and investigate the performance of RCAC in the presence of aliasing. It is shown that RCAC is able to stabilize the plant despite the high-frequency dynamics, unless the controllability of unstable modes is not lost due to sampling. However, the intersample command-following performance may be nonzero due to aliasing of disturbances.
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