最小控制综合在卷筒纸张力和输运控制中的应用

D. Stoten, M. Dye
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引用次数: 1

摘要

最小控制综合(MCS)算法是一种不需要预先知道对象动态参数的自适应控制策略,同时保证闭环系统的全局渐近稳定性。本文的目的是介绍MCS在腹板张力和输运控制中的应用,这是一类具有高度非线性动力学和时变参数的对象。用常规方法难以控制该电厂的全部运行范围。本文给出了一个典型的实例,并给出了MCS的实现。给出了MCS与常规控制基准的实验比较。结果表明,MCS显著优于传统控制器。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The application of minimal control synthesis to web tension and transport control
The minimal control synthesis (MCS) algorithm is an adaptive control strategy that requires no prior knowledge of plant dynamic parameters, and yet is guaranteed to provide global asymptotic stability of the closed-loop system. The purpose of this paper is to present MCS as applied to web tension and transport control, a class of plant that has highly nonlinear dynamics and time varying parameters. The plant is difficult to control by conventional methods over its full operating range. A typical example of such a plant is presented along with the implementation of MCS. Experimental comparisons of MCS with conventional control benchmarks are provided. It is shown that MCS significantly outperforms the conventional controller.<>
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