Pretraga

Pretražite po imenu i prezimenu autora, mentora, urednika, prevoditelja

Napredna pretraga

Pregled bibliografske jedinice broj: 692005

Control of 3D Tower Crane based on Tensor Product Transformation with Neural Friction Compensation

Matuško, Jadranko; Ileš, Šandor; Kolonić, Fetah; Lešić, Vinko
Control of 3D Tower Crane based on Tensor Product Transformation with Neural Friction Compensation // Asian journal of control, 17 (2015), 2; 443-458 doi:10.1002/asjc.986 (međunarodna recenzija, članak, znanstveni)

CROSBI ID: 692005 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Control of 3D Tower Crane based on Tensor Product Transformation with Neural Friction Compensation

Autori
Matuško, Jadranko ; Ileš, Šandor ; Kolonić, Fetah ; Lešić, Vinko

Izvornik
Asian journal of control (1561-8625) 17 (2015), 2; 443-458

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
3D tower crane; neural network; non-PDC control law; friction compensation; RBF network; on-line network learning

Sažetak
Fast and accurate positioning and swing minimization of heavy loads in crane manipulation are demanding and, in the same time, conflicting tasks. For accurate positioning, the main problem is nonlinear friction effect, especially in the low speed region. In this paper authors propose a control scheme for 3D tower crane, that consists of the tensor product transformation based nonlinear feedback controller, with additional neural network based friction compensator. Tensor product based controller is designed using linear matrix inequalities utilizing a parameter varying Lyapunov function. Neural network parameters adaptation law is derived using Lyapunov stability analysis. The simulation and experimental results on 3D laboratory crane model are given.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika, Temeljne tehničke znanosti



POVEZANOST RADA

Projekti:
036-0363078-1629 - Upravljanje složenim elektromehaničkim sustavima za manipulacije u transportu (Kolonić, Fetah, MZO ) ( CroRIS)

Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb

Profili:

Avatar Url Vinko Lešić (autor)

Avatar Url Šandor Ileš (autor)

Avatar Url Fetah Kolonić (autor)

Avatar Url Jadranko Matuško (autor)

Poveznice na cjeloviti tekst rada:

doi onlinelibrary.wiley.com

Citiraj ovu publikaciju:

Matuško, Jadranko; Ileš, Šandor; Kolonić, Fetah; Lešić, Vinko
Control of 3D Tower Crane based on Tensor Product Transformation with Neural Friction Compensation // Asian journal of control, 17 (2015), 2; 443-458 doi:10.1002/asjc.986 (međunarodna recenzija, članak, znanstveni)
Matuško, J., Ileš, Š., Kolonić, F. & Lešić, V. (2015) Control of 3D Tower Crane based on Tensor Product Transformation with Neural Friction Compensation. Asian journal of control, 17 (2), 443-458 doi:10.1002/asjc.986.
@article{article, author = {Matu\v{s}ko, Jadranko and Ile\v{s}, \v{S}andor and Koloni\'{c}, Fetah and Le\v{s}i\'{c}, Vinko}, year = {2015}, pages = {443-458}, DOI = {10.1002/asjc.986}, keywords = {3D tower crane, neural network, non-PDC control law, friction compensation, RBF network, on-line network learning}, journal = {Asian journal of control}, doi = {10.1002/asjc.986}, volume = {17}, number = {2}, issn = {1561-8625}, title = {Control of 3D Tower Crane based on Tensor Product Transformation with Neural Friction Compensation}, keyword = {3D tower crane, neural network, non-PDC control law, friction compensation, RBF network, on-line network learning} }
@article{article, author = {Matu\v{s}ko, Jadranko and Ile\v{s}, \v{S}andor and Koloni\'{c}, Fetah and Le\v{s}i\'{c}, Vinko}, year = {2015}, pages = {443-458}, DOI = {10.1002/asjc.986}, keywords = {3D tower crane, neural network, non-PDC control law, friction compensation, RBF network, on-line network learning}, journal = {Asian journal of control}, doi = {10.1002/asjc.986}, volume = {17}, number = {2}, issn = {1561-8625}, title = {Control of 3D Tower Crane based on Tensor Product Transformation with Neural Friction Compensation}, keyword = {3D tower crane, neural network, non-PDC control law, friction compensation, RBF network, on-line network learning} }

Časopis indeksira:


  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus

Citati:

    Altmetrijski pokazatelji:


    Podijeli:





    Contrast
    Increase Font
    Decrease Font
    Dyslexic Font
    CROSBI koristi kolačiće (cookies) kako bi poboljšao funkcionalnost stranice.