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Tuning PID controllers from sampled-data relay feedback experiments

机译:从采样数据中继反馈实验调整PID控制器

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Existing tuning formulas for PID based on relay feedback experiments are derived from continuous-time systems theory, even though most such systems are implemented digitally. These formulas rely on the fact that, according to this continuous time theory, the relay feedback experiment allows the identification of the ultimate point of the plant's frequency response - the point at which its Nyquist plot crosses the negative real axis. We have shown in a recent paper (Bazanella and Parraga (2016)) that a sampled relay feedback experiment may exhibit various limit-cycles at possibly quite different frequencies, even for quite reasonable sampling rates - that is, well within the ranges recommended by sampling theory and control textbooks. In this paper we show the deleterious effect of this reality on the tuning of PID controllers and propose an improvement to the tuning formulas to overcome this limitation.
机译:基于继电器反馈实验的PID的现有调谐公式源自连续时间系统理论,尽管大多数此类系统都是数字方式实现的。这些公式依赖于,根据该连续时间理论,继电器反馈实验允许识别植物频率响应的最终点 - 其奈奎斯特图交叉负实轴的点。我们在最近的一篇论文中显示了(Bazanella和Parraga(2016)),采样的继电器反馈实验可能在可能相当不同的频率下表现出各种限制循环,即使对于相当合理的采样率 - 即在采样推荐的范围内也是如此理论与控制教科书。在本文中,我们对PID控制器调整的这种现实的有害效果并提出改善调整公式以克服这种限制。

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