January 2000


Limitations of model predictive controllers

Simpler control methods often provide better results

Hugo, A., Control Arts Inc.

Many multivariable model predictive controller (MPC) vendors imply that the MPC applications have been an unqualified success and that MPCs are the preferred solution for all control problems. While MPCs can be effective in the proper situation, they have limitations that are generally not mentioned by the vendors. Difficulties with operation, high maintenance cost and lack of flexibility can result in fragile controllers that are not profitable. MPC limitations involve not just the algorithm itself, but also justifying these controllers, applicability on chemical process systems and subsequent maintenance. There are technologies for alleviating some of these limitations. Controller justi

Log in to view this article.

Not Yet A Subscriber? Here are Your Options.

1) Start a FREE TRIAL SUBSCRIPTION and gain access to all articles in the current issue of Hydrocarbon Processing magazine.

2) SUBSCRIBE to Hydrocarbon Processing magazine in print or digital format and gain ACCESS to the current issue as well as to 3 articles from the HP archives per month. $409 for an annual subscription*.

3) Start a FULL ACCESS PLAN SUBSCRIPTION and regain ACCESS to this article, the current issue, all past issues in the HP Archive, the HP Process Handbooks, HP Market Data, and more. $1,995 for an annual subscription.  For information about group rates or multi-year terms, contact email Peter Ramsay or call +44 20 3409 2240*.

*Access will be granted the next business day.

Related Articles

From the Archive



{{ error }}
{{ comment.comment.Name }} • {{ comment.timeAgo }}
{{ comment.comment.Text }}