What has industry learned about model-based multivariable control?

摘要

And where do the lessons lead going forward? When model-based multivariable control made its debut in the 1980s, it was expected that process models, once acquired through a plant step test, would be durable and long lived. However, this assumption proved to be mistaken, revealed in the form of "clamped" manipulated variables and "degraded" performance. Multivariable control technology has struggled with this problem ever since.