Design of supervisor-based adaptive process fuzzy logic control
by Snejana Yordanova; Lakhmi C. Jain
International Journal of Advanced Intelligence Paradigms (IJAIP), Vol. 9, No. 4, 2017

Abstract: The industrial processes are nonlinear, subjected to disturbances, inertial, with time delay and parameters that change with the operating point, over the time or both. The adaptive fuzzy logic controllers (AFLCs) are promising in controlling of such plants ensuring a high system performance. Their complex structure and design and the computational load required restrict their wide application on industrial scale. An approach for the design of simple AFLCs is suggested on the basis of a main FLC and a FL supervisor (FLS) with input the online estimated current plant gain and output correction of selected scaling factors. The effect - a continuous adaptation of the control surface in response to plant changes, is equivalent to the sophisticated self-organising techniques. The needed input data are expert assessed ranges for the plant gain, plant delay and system error. The approach is applied for the design of process AFLCs for a chemical reactor and a two-tank plant using main FLCs of Mamdani type and parallel distributed compensation. The results from simulations show decreased overshoot, settling time, control effort and coupling in the whole range of operation and parameter changes. The comparison is made with a FLC system and a linear PI system.

Online publication date: Mon, 10-Jul-2017

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 Advanced Intelligence Paradigms (IJAIP):
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 subs@inderscience.com