Model-Based Tuning Methods for PID Controllers
Model-Based Tuning Methods for PID Controllers
复制标题
基于模型的 PID 控制器整定方法
DOI：
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发表时间：
2010
期刊：
影响因子：
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通讯作者：
R. Rice
中科院分区：
文献类型：
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作者：
Jeffrey E. Arbogast;D. Cooper;R. Rice
测量过程变量随时间对控制器输出信号变化的响应方式是PID控制器设计和调谐的基础。了解流程动态行为的最佳方法是执行实验，通常称为“碰撞测试”。对成功至关重要的是，碰撞测试生成的过程数据是对实际过程行为的描述。讨论了“好的”动态数据所需要的质量，以及为控制器设计建立动态数据模型的方法。来自动态模型的参数不仅用于计算调优值的相关性，而且还提供了对控制器设计参数（如环路采样时间和死区时间是否会带来性能挑战）的深入了解。将控制器置于自动（闭环）状态下进行动态研究已变得越来越普遍。对于闭环研究，动态数据是通过碰撞设定点产生的。说明了利用闭环数据的方法。这项工作中的概念是用水平控制仿真来说明的。
The manner in which a measured process variable responds over time to changes in the controller output signal is fundamental to the design and tuning of a PID controller. The best way to learn about the dynamic behavior of a process is to perform experiments, commonly referred to as “bump tests.” Critical to success is that the process data generated by the bump test be descriptive of actual process behavior. Discussed are the qualities required for “good” dynamic data and methods for modeling the dynamic data for controller design. Parameters from the dynamic model are not only used in correlations to compute tuning values, but also provide insight into controller design parameters such as loop sample time and whether dead time presents a performance challenge. It is becoming increasingly common for dynamic studies to be performed with the controller in automatic (closed loop). For closed loop studies, the dynamic data is generated by bumping the set point. The method for using closed loop data is illustrated. Concepts in this work are illustrated using a level control simulation.