Research Initiation Award: Adaptive Control Development of Food Manufacturing

本研究旨在开发食品挤压过程的在线识别和自适应控制策略。将使用双螺杆食品挤出机。一般的过程模型结构将以带有辅助输入的自回归移动平均模型的形式确定。在广义预测控制技术的基础上，将发展多变量自整定调节器算法。模型参考自适应控制算法将发展为瞬态操作。这项研究是自适应控制在食品加工中的第一个应用。它也是多变量识别和自适应控制理论在实际过程中的第一个应用。目的是促进自适应控制理论的发展，丰富自适应控制的相关文献。它可以显著改善挤出过程和许多食品的质量。它可以为制造业引入新技术。

This research is aimed at developing on-line identification and adaptive control strategies for food extrusion. A twin-screw food extruder will be used. A general process model structure will be determined in the form of auto-regressive moving-average model with auxiliary inputs. Multi-variable self-tuning regulator algorithms will be developed for regular operations based on the generalized predictive control technique. Model reference adaptive control algorithms will be developed for transient operations. This research is one of the very first applications of adaptive control in food processes. It is also among the first applications of multi-variable identification and adaptive control theories in a real process. The aim is to advance the theories and enrich the adaptive control literature. It can significantly improve the extrusion process and the quality of numerous foods. It may introduce new technologies to the manufacturing industry.