Modelling Twin Rotor System with Artificial Neural Networks

被引：0

作者：

Deniz, Meryem ^{[1
]}

Bidikli, Baris ^{[1
]}

Bayrak, Alper ^{[2
]}

Ozdemirel, Barbaros ^{[1
]}

Tatlicioglu, Enver ^{[1
]}

机构：

[1] Izmir Yuksek Teknol Enstitusu, Elekt & Haberlesme Muhendisligi Bolumu, Izmir, Turkey

[2] Abant Izzet Baysal Univ, Elekt & Elekt Muhendisligi Bolumu, Bolu, Turkey

来源：

2015 23RD SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU) | 2015年

关键词：

Artificial neural network; Twin rotor system; Modelling;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In this study, the input output relation of the twin rotor system which was constructed in our laboratory is obtained by using ANNs. When compared with the existing literature, main advantage of this modelling approach is that multi input multi output ANN structure is used preferred. As a result of this approach, the cross coupling effects, between the rotors and also between the outputs, are taken into consideration. Thus, we sincerely believe that the obtained input output model demonstrates a close behavior to the real system.

引用

页码：1162 / 1165

页数：4

共 10 条

[1] Application of Artificial Neural Network in Social Computing in the Context of Third World Countries [J].

Bayzid, Md Shamsuzzoha ;

Iqbal, Anindya ;

Hyder, Chowdhury Sayeed ;

Irfan, Mohammad Tanvir .

PROCEEDINGS OF ICECE 2008, VOLS 1 AND 2, 2008, :648-653

[2]

Dogan F., 2012, OTOMATIK KONTROL ULU, P127

[3]

Haykin S., 2004, Neural Network, V2004, P41

[4]

Kumar S., 2014, INT J ENG, V7, P987

[5] ARTIFICIAL NEURAL NETWORKS AND THEIR BUSINESS APPLICATIONS [J].

LI, EY .

INFORMATION & MANAGEMENT, 1994, 27 (05) :303-313

[6]

Madhusanka B. G. D. A., 2011, ANN AC SESS U SRI LA

[7]

Rahideh A., 2007, P IMECHE G, V221

[8]

Rahideh A., 2008, P IMECHE G, V222

[9]

Shaheed M. H., 2014, AIRCR ENG AEROSP TEC, V77, P13

[10]

Toha, 2008, 2008 7 IEEE INT C CY, P1

← 1 →