Multiple-Delay Smith Predictor Based Control of LTI Systems with Bounded Uncertain Delay

A. Ibeas, R. Vilanova, P. Balaguer
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引用次数: 7

Abstract

One of the drawbacks of the Smith Predictor (SP) to control systems with external point delays is that its performance is strongly influenced by the knowledge of the time delay of the plant. Hence, as the mismatch between the actual delay of the plant and the nominal one used in the control structure increases, the closed-loop performance degrades accordingly, even potentially causing instability. In this paper, an intelligent frame to reduce the 'a priori' knowledge of the plant delay required in the design of SP controllers is proposed. The intelligent frame is composed of a set of different plant delay models running in parallel along with a high level supervision algorithm which selects the one that best describes the actual delay of the plant at each time interval to be used for control purposes. In this way, the designer can design the control of the system based on its delay-free part while the appropriate tuning of the delay of the Smith Predictor is performed by the intelligent supervisor. As a consequence, like simulation examples show, the closed-loop performance of the system is improved without the 'a priori' requirement of an accurate knowledge of the value for the time delav.
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具有有界不确定延迟的LTI系统的多延迟Smith预测器控制
史密斯预测器(SP)控制具有外部点延迟的系统的缺点之一是,它的性能受到对象的时间延迟知识的强烈影响。因此,随着设备的实际延迟与控制结构中使用的标称延迟之间的不匹配增加,闭环性能相应下降,甚至可能导致不稳定。本文提出了一种智能框架,以减少SP控制器设计中需要的先验知识。智能框架由一组并行运行的不同对象延迟模型和一个高级监督算法组成,该算法在每个时间间隔中选择最能描述对象实际延迟的模型用于控制目的。这样,设计人员就可以根据系统的无延迟部分来设计系统的控制,而智能监控器对史密斯预测器的延迟进行适当的调整。因此,如仿真示例所示,系统的闭环性能得到了改善,而无需“先验”地准确了解延时值的要求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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