Title :
Intelligent position control of earth station antennas with backlash compensation based on MLP neural network
Author :
Razi, A. ; Menhaj, M.B. ; Mohebbi, A.
Author_Institution :
Dept. of Electr. Eng., Amir Kabir Univ. of Technol., Tehran, Iran
Abstract :
An Intelligent Control (IC) method based on MLP neural networks and Through Model Lemma (T.M.L.) is implemented to control the position of a Low Earth Orbit (LEO) satellites tracking earth station antenna. This approach relies on two different multilayer neural networks with delayed inputs, for the purpose of identification and control. Nonlinear term in motors caused by gear-box gaps or other parts lameness is not necessary to be measured or identified for considering in controller designing using this method. However due to test of the proposed method performance, this nonlinearity term modeled by a backlash block. Simulation results show the effectiveness of T.M.L. method for robust control in the presence of backlash nonlinearity.
Keywords :
aerospace control; artificial satellites; compensation; intelligent control; multilayer perceptrons; Earth station antenna; MLP neural network; backlash compensation; gear-box gaps; identification; intelligent control; intelligent position control; low Earth orbit satellite; multilayer neural networks; nonlinear term; through model lemma; Antenna measurements; Integrated circuit modeling; Intelligent control; Intelligent networks; Low earth orbit satellites; Multi-layer neural network; Neural networks; Position control; Satellite antennas; Satellite ground stations;
Conference_Titel :
Innovative Technologies in Intelligent Systems and Industrial Applications, 2009. CITISIA 2009
Conference_Location :
Monash
Print_ISBN :
978-1-4244-2886-1
Electronic_ISBN :
978-1-4244-2887-8
DOI :
10.1109/CITISIA.2009.5224199
