Abstract Uncertainty in the kinetics of the second drying period represents the major challenge in continuous drying of particulate solids which can be overcome by adaptive feedback control. In this contribution, self-tuning control comprising online-state estimation and adaptive PI-control is considered to guarantee desired product moisture. Advantages of the approach over conventional PI-control are discussed. The performance is shown for fluidized bed drying of baker’s yeast. It is shown that the self-tuning approach is superior to nonadaptive approaches in case of parametric uncertainty even at non-nominal steady-states.

中文翻译：

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面包酵母颗粒连续流化床干燥的自整定控制

摘要 第二干燥周期动力学的不确定性是颗粒固体连续干燥的主要挑战，可以通过自适应反馈控制来克服。在这个贡献中，包括在线状态估计和自适应 PI 控制的自调整控制被认为可以保证所需的产品水分。讨论了该方法优于传统 PI 控制的优点。该性能显示为面包酵母的流化床干燥。结果表明，即使在非标称稳态下，在参数不确定的情况下，自调整方法也优于非自适应方法。