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Adaptive Model Recovery Anti-Windup for Output-Feedback Plants

机译：输出反馈工厂的自适应模型恢复抗风化

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摘要

The control of real technical systems always involves consideration of maximal input amplitudes. Moreover, the properties of technical systems often change during their lifetime, due to e.g. aging or small defects. In order to satisfy high performance requirements for the whole duration of such systems, the use of adaptive control is beneficial. Since for many industrial control application, e.g. in automotive industry, only the output of systems is measurable, an output-feedback adaptive controller is necessary, which is able to deal with input saturation. A new adaptive method based on model recovery anti-windup (MRAW) for continuous time systems is presented in this work. It allows for performance considerations in the case of input saturation. Results of boundedness for the closed-loop system are shown and verified with a simulation example. The simulation example shows the benefits of the adaptive control scheme with anti-windup in comparison to a robust approach in the presence of parameter uncertainties.
机译：实际技术系统的控制始终涉及最大输入幅度的考虑。此外，技术系统的特性通常会在其生命周期中由于例如以下原因而改变。老化或小缺陷。为了满足此类系统整个使用期间的高性能要求，使用自适应控制是有益的。由于用于许多工业控制应用，例如在汽车工业中，仅系统的输出是可测量的，输出反馈自适应控制器是必需的，它能够处理输入饱和。在这项工作中，提出了一种基于模型恢复抗饱和（MRAW）的连续时间系统新的自适应方法。在输入饱和的情况下，可以考虑性能。给出了闭环系统的有界结果，并通过仿真示例进行了验证。仿真示例显示了与存在参数不确定性的鲁棒方法相比，具有抗饱和的自适应控制方案的优势。

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