Advanced Strategies for Process Control and Manufacturing

自适应控制系统自动调整其控制器设置，以补偿过程或环境的变化。它对于难以理解过程和/或以不可预测的方式发生变化的困难控制问题很有吸引力。一种自适应控制器采用自校正控制(STC)机制，在线估计模型参数，并根据当前参数估计调整控制器常数。使用线性模型在这一领域做了很多工作，但使用非线性模型的工作很少。对特定系统的非线性的先验知识将被用于设计STC策略。这些算法将使用中试规模的精馏塔进行实验验证。另一个复杂的领域是具有多个输入和多个输出的系统。为这样的系统设计STC是这项工作的第二部分。

Adaptive control systems automatically adjust their controller settings to compensate for changes in the process or environment. It is attractive for difficult control problems where the process is poorly understood and/or changes in unpredictable ways. One type of adaptive controller uses self-tuning control (STC) mechanisms, which estimate model parameters on-line and adjust controller constants based on the current parameter estimates. Much work has been done in this area using linear models but little using non-linear models. A priori knowledge of a particular system's nonlinearities will be used to design STC strategies. The algorithms will be experimentally verified using a pilot size distillation column. Another complex area is systems which have multiple inputs and multiple outputs. Designing STC for such systems contitutes the second part of this work.