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Proportional-integral-derivative ;B;-tuning for integrating processes with deadtime

机译:比例积分微分; B;-将过程与死区时间集成在一起的调整

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Over the past 15 years, a number of model-based proportional-integral-derivative (PID) tuning methods have been developed for systems that can be described as integrating-with-deadtime. This was motivated by the observation that the initial open-loop response of lag-dominant processes, such as tray temperature in highpurity distillation columns, resembles that of a delayed ramp variable. This study compares the behaviour of several PID ;B;-tuning rules with the Skogestad internal model control (or SIMC) proportional-integral (PI) controller on simulated integrator-plus-deadtime and lag-dominant first-order plants. Guidelines are provided for selecting the most appropriate tuning method for a given application based on the primary function of the feedback loop (servo against regulatory) as well as the relative importance of control effort and robustness. In contrast, the PID version of the Tyreus¿Luyben controller, a popular strategy for this class of models, was found to yield excellent setpoint following but sluggish rejection of unmeasured disturbances acting at the plant input.
机译:在过去的15年中,已经为系统开发了许多基于模型的比例积分微分(PID)调整方法,这些方法可被描述为带死区时间积分。这是因为观察到,滞后主导过程的初始开环响应(例如高纯度蒸馏塔中的塔板温度)类似于延迟的斜坡变量的响应。这项研究比较了模拟积分器加失效时间和滞后占优一阶设备上的几种PID; B;调整规则与Skogestad内模控制(或SIMC)比例积分(PI)控制器的行为。提供了根据反馈回路的主要功能(针对调节的伺服)以及控制工作量和鲁棒性的相对重要性,为给定应用选择最合适的调整方法的指南。相比之下,Tyreus™,Luyben控制器的PID版本(此类模型的流行策略)被发现可产生出色的设定值,但对未测量干扰的抑制作用却很缓慢。

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