Pregled bibliografske jedinice broj: 515411
Adaptive neural network frequency control for thermopower generators power system
Adaptive neural network frequency control for thermopower generators power system // International journal of robotics & automation, 26 (2011), 1; 86-92 doi:10.2316/Journal.206.2011.1.206-3399 (međunarodna recenzija, članak, znanstveni)
CROSBI ID: 515411 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Adaptive neural network frequency control for thermopower generators power system
Autori
Kuljača, Ognjen ; Gadewadikar, Jyotirmay ; Selmić, Rastko R.
Izvornik
International journal of robotics & automation (0826-8185) 26
(2011), 1;
86-92
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
power system; frequency control; neural network; and adaptive control
Sažetak
This paper presents an application of a neural network control scheme in a thermopower generator control problem. Presented adaptive neural network control scheme for power systems frequency control does not require offline training. We apply Lewis’ neural net- work controller [Lewis, Jagannathan, & Yesildirect, Neural network control of robot manipulators and nonlinear systems, 1998] for an in- dustrial type system that occurs in power system industry. Stability proof for described control scheme is given in this paper. The online tuning algorithm and neural network architecture are described in detail. The performance of the controller is illustrated via simulation and analysed with respect to changes in process parameters and for different disturbances. Performance of neural network controller is compared with conventional proportional-integral control scheme for frequency control in power systems.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika
Citiraj ovu publikaciju:
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
Uključenost u ostale bibliografske baze podataka::
- Compendex (EI Village)
- Compu-Math Citation Index
- INSPEC
- CSA Illumina, Google Scholar, FIZ Karlsruhe, Computing & Technology
