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。它是有吸引力的困难的控制问题，该过程是知之甚少和/或不可预测的方式变化。一种类型的自适应控制器使用自校正控制（STC）机制，其在线估计模型参数并且基于当前参数估计来调整控制器常数。在这一领域中，使用线性模型已经做了很多工作，但很少使用非线性模型。特定系统的非线性的先验知识将用于设计STC策略。该算法将使用中试规模的蒸馏塔进行实验验证。另一个复杂的领域是具有多个输入和多个输出的系统。本文的第二部分工作是为这类系统设计STC。

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.