Relative-Time-Delay-Aware Self-Optimizing-Control for First-Order-Plus-Delay-Time Systems

J. Viola, Yangquan Chen
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引用次数: 1

Abstract

The first order plus delay time (FOPDT) systems, are a class of commonly used model family to describe thermal or temperature control systems which comprise 80% of all control tasks. The delay $(L)$ over the time constant $(\tau)$ is known as “relative time delay”. In practice, this relative time delay may change over different tasks or missions. How to design a smart controller that can be aware of this change and can still seek to achieve the optimal performance, is the main theme of this paper. We follow our previous achievements in self-optimizing control (SOC) using a globalized constrained Nelder-Mead (GCNM) on-line optimization algorithm. We first reviewed our SOC framework under GCNM for FOPDT and using extensive examples we shall how the SOC module is made aware of changes in relative time delay
一阶多时滞系统的相对时滞感知自优化控制
一阶加延迟时间(FOPDT)系统是一类常用的模型族,用于描述热或温度控制系统,占所有控制任务的80%。延迟$(L)$超过时间常数$(\tau)$被称为“相对时间延迟”。实际上,这种相对时间延迟可能会因不同的任务或任务而改变。如何设计一个智能控制器,能够意识到这种变化,并仍能寻求达到最优的性能,是本文的主题。我们利用全球化约束Nelder-Mead (GCNM)在线优化算法继承了之前在自优化控制(SOC)方面的成就。我们首先回顾了FOPDT在GCNM下的SOC框架,并使用广泛的示例,我们将了解SOC模块如何意识到相对时延的变化
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