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Pregled bibliografske jedinice broj: 451619

Adaptive Elastic Fuzzy Logic Controller


Kuljaca, Ognjen; Gadewadikar, Jyotirmay; Horvat, Krunoslav
Adaptive Elastic Fuzzy Logic Controller // 74th Annual Meeting of Mississippi Academy of Sciences / NA (ur.).
Hattiesburg (MS), 2010. str. 126-126 (predavanje, međunarodna recenzija, sažetak, znanstveni)


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Naslov
Adaptive Elastic Fuzzy Logic Controller

Autori
Kuljaca, Ognjen ; Gadewadikar, Jyotirmay ; Horvat, Krunoslav

Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, znanstveni

Izvornik
74th Annual Meeting of Mississippi Academy of Sciences / NA - Hattiesburg (MS), 2010, 126-126

Skup
74th Annual Meeting of Mississippi Academy of Sciences

Mjesto i datum
Hattiesburg (MS), Sjedinjene Američke Države, 02.2010

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
adaptive; elastic fuzzy; control

Sažetak
We present an adaptive fuzzy logic controller that includes on-line tuning of the membership function centroids and spreads, as well as an additional parameter, the "elasticity". A novel membership function is introduced here that satisfies certain important properties, including an independent reaction when the elasticity is tuned. We provide architecture for an elastic fuzzy logic adaptive controller, using certain on-line tuning laws that are an enhanced form of backpropagation tuning. It is shown by simulation that the fuzzy logic controller that includes the new membership function and tuning of elasticity outperforms the standard adaptive fuzzy logic controller based on Gaussian membership functions. Adaptive fuzzy logic (AFL) systems are becoming more and more popular in control systems due to the ability to select initial membership functions (MFs) based on experience and intuition. However, the simulation results and practical application experience with AFL systems with Gaussian membership functions show that if the initial membership functions do not sufficiently cover the region where the initial states can be found, the learning process is relatively slow and sometimes a long time is needed to achieve small tracking errors. One possible solution for this problem is in the introduction of additional degrees of freedom in the controller design. An additional degree of freedom is achieved here by introducing the so-called "elasticity" in the definition of the membership functions. To allow the fully effective use of elasticity, a novel membership function is introduced in which the centroid, spread and elasticity are three mutually independent parameters.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika



POVEZANOST RADA


Projekti:
192-0361557-1564 - Inteligentno upravljanje hidroenergetskim postrojenjima

Ustanove:
Brodarski institut d.o.o.

Profili:

Avatar Url Ognjen Kuljača (autor)

Avatar Url Krunoslav Horvat (autor)


Citiraj ovu publikaciju:

Kuljaca, Ognjen; Gadewadikar, Jyotirmay; Horvat, Krunoslav
Adaptive Elastic Fuzzy Logic Controller // 74th Annual Meeting of Mississippi Academy of Sciences / NA (ur.).
Hattiesburg (MS), 2010. str. 126-126 (predavanje, međunarodna recenzija, sažetak, znanstveni)
Kuljaca, O., Gadewadikar, J. & Horvat, K. (2010) Adaptive Elastic Fuzzy Logic Controller. U: NA (ur.)74th Annual Meeting of Mississippi Academy of Sciences.
@article{article, author = {Kuljaca, Ognjen and Gadewadikar, Jyotirmay and Horvat, Krunoslav}, year = {2010}, pages = {126-126}, keywords = {adaptive, elastic fuzzy, control}, title = {Adaptive Elastic Fuzzy Logic Controller}, keyword = {adaptive, elastic fuzzy, control}, publisherplace = {Hattiesburg (MS), Sjedinjene Ameri\v{c}ke Dr\v{z}ave} }
@article{article, author = {Kuljaca, Ognjen and Gadewadikar, Jyotirmay and Horvat, Krunoslav}, year = {2010}, pages = {126-126}, keywords = {adaptive, elastic fuzzy, control}, title = {Adaptive Elastic Fuzzy Logic Controller}, keyword = {adaptive, elastic fuzzy, control}, publisherplace = {Hattiesburg (MS), Sjedinjene Ameri\v{c}ke Dr\v{z}ave} }




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