Simple tuning of modified Smith predictor for unstable FOPTD processes
by Somak Karan; Chanchal Dey
International Journal of Nanoparticles (IJNP), Vol. 12, No. 1/2, 2020

Abstract: A simple tuning for modified Smith predictor is reported here to control unstable first-order plus time delay (FOPTD) processes. In practice, a good number of chemical processes (like combustion, evaporation, distillation, etc.) are unstable as well as delay dominated in nature. Modified Smith predictor technique is a well-accepted methodology for its simplicity and efficacy to regulate delay dominated processes to ascertain desirable closed-loop response. Two-degree-of-freedom (2-DOF) control scheme of the proposed multi-loop controller provides performance enhancement during both set point tracking and load recovery phases. To mitigate tuning complexity of more than one controller involved in modified Smith predictor, the proposed simple guideline involves the same set of tuning parameters for all three controllers. Distinctive feature of the proposed tuning scheme is that there is no overshoot during set point tracking as well as smooth and improved recovery is observed subsequent to uncertain load changes. Superiority of the proposed methodology is established through performance evaluation and stability analysis with well-accepted modified Smith predictor-based tuning relations.

Online publication date: Tue, 24-Mar-2020

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Nanoparticles (IJNP):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email