Development of an adaptive neurocontroller and satellite simulator for nano-satellite attitude control system

Malaysia, a developing country is striding towards venturing the field involving outerspace research. Since 2000, Malaysia has succesfully developed and lauched a few satellites. Therefore, the motivation of this project is to introduce a control technology for satellite implementation riaxial con...

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Main Author:	Siti Maryam, Sharun
Format:	Thesis
Language:	English
Subjects:	Satellite Adaptive Neuro-Controller (ANC) Nano-satellite Controllers
Online Access:	http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/33137/1/Page%201-24.pdf http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/33137/2/Full%20text.pdf
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spelling	my-unimap-331372014-03-26T04:39:46Z Development of an adaptive neurocontroller and satellite simulator for nano-satellite attitude control system Siti Maryam, Sharun Malaysia, a developing country is striding towards venturing the field involving outerspace research. Since 2000, Malaysia has succesfully developed and lauched a few satellites. Therefore, the motivation of this project is to introduce a control technology for satellite implementation riaxial control scheme, for stabilizing system of nano-satellite which is an Innovative veloping a satelit simulator in order ceptron (MLP) controller. All the controllers have used Model Reference Adaptive Control (MRAC) as a control scheme. This modified control scheme was chosen due to its ability in adapting the controller behavior in respond to the changes in the dynamic process and the characteristic of disturbance. Weighted Recursive Least-Square (WRLS) algorithm was used as the adjustment mechanism for updating the parameter of ANC based on HMLP network, ANC based on MLP network and APBB controller. The performances of the four controllers were compared in terms of convergence speed when certain conditions are applied. Simulation was done by using a few reference inputs which consist of step, square wave and Y-Thompsoninput. The simulation results show that ANC based on HMLP is the best controller as compared to the others. The step continues by developing the satellite simulator by using Hardware-in-the-loop simulation (HILS) techniques. The simulator is divided into two parts, software simulator and hardware simulator that will be functioning side by side. The controller algorithm for ANC based on HMLP is uploaded into Microcontroller Rabbit (RCM4100) as the hardware simulator. The software simulator on the other hand was implemented in the PC which represents the dynamic model of InnoSAT. The result shows that the ANC based on HMLP is able to stabilize the InnoSAT system in the real environment even though the system is exposed to varying gain, measurement noise and disturbances. The main contribution of this research is to provide an intelligent control scheme and a hardware-in-loop simulator for satellite attitude control. Satellite simulator that has been developed is expected to produce a concept for testing and analyzing attitude control algorithm in real time environment by having low risk and low cost as well. Universiti Malaysia Perlis (UniMAP) 2013 Thesis en http://dspace.unimap.edu.my:80/dspace/handle/123456789/33137 http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/33137/1/Page%201-24.pdf 7183e228f97ae5c5a5a16b362bd5fb3a http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/33137/2/Full%20text.pdf 7554859d5d6593b629c45482d5e83b14 http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/33137/3/license.txt 8a4605be74aa9ea9d79846c1fba20a33 Satellite Adaptive Neuro-Controller (ANC) Nano-satellite Controllers School of Mechatronic Engineering
institution	Universiti Malaysia Perlis
collection	UniMAP Institutional Repository
language	English
topic	Satellite Adaptive Neuro-Controller (ANC) Nano-satellite Controllers
spellingShingle	Satellite Adaptive Neuro-Controller (ANC) Nano-satellite Controllers Siti Maryam, Sharun Development of an adaptive neurocontroller and satellite simulator for nano-satellite attitude control system
description	Malaysia, a developing country is striding towards venturing the field involving outerspace research. Since 2000, Malaysia has succesfully developed and lauched a few satellites. Therefore, the motivation of this project is to introduce a control technology for satellite implementation riaxial control scheme, for stabilizing system of nano-satellite which is an Innovative veloping a satelit simulator in order ceptron (MLP) controller. All the controllers have used Model Reference Adaptive Control (MRAC) as a control scheme. This modified control scheme was chosen due to its ability in adapting the controller behavior in respond to the changes in the dynamic process and the characteristic of disturbance. Weighted Recursive Least-Square (WRLS) algorithm was used as the adjustment mechanism for updating the parameter of ANC based on HMLP network, ANC based on MLP network and APBB controller. The performances of the four controllers were compared in terms of convergence speed when certain conditions are applied. Simulation was done by using a few reference inputs which consist of step, square wave and Y-Thompsoninput. The simulation results show that ANC based on HMLP is the best controller as compared to the others. The step continues by developing the satellite simulator by using Hardware-in-the-loop simulation (HILS) techniques. The simulator is divided into two parts, software simulator and hardware simulator that will be functioning side by side. The controller algorithm for ANC based on HMLP is uploaded into Microcontroller Rabbit (RCM4100) as the hardware simulator. The software simulator on the other hand was implemented in the PC which represents the dynamic model of InnoSAT. The result shows that the ANC based on HMLP is able to stabilize the InnoSAT system in the real environment even though the system is exposed to varying gain, measurement noise and disturbances. The main contribution of this research is to provide an intelligent control scheme and a hardware-in-loop simulator for satellite attitude control. Satellite simulator that has been developed is expected to produce a concept for testing and analyzing attitude control algorithm in real time environment by having low risk and low cost as well.
format	Thesis
author	Siti Maryam, Sharun
author_facet	Siti Maryam, Sharun
author_sort	Siti Maryam, Sharun
title	Development of an adaptive neurocontroller and satellite simulator for nano-satellite attitude control system
title_short	Development of an adaptive neurocontroller and satellite simulator for nano-satellite attitude control system
title_full	Development of an adaptive neurocontroller and satellite simulator for nano-satellite attitude control system
title_fullStr	Development of an adaptive neurocontroller and satellite simulator for nano-satellite attitude control system
title_full_unstemmed	Development of an adaptive neurocontroller and satellite simulator for nano-satellite attitude control system
title_sort	development of an adaptive neurocontroller and satellite simulator for nano-satellite attitude control system
granting_institution	Universiti Malaysia Perlis (UniMAP)
granting_department	School of Mechatronic Engineering
url	http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/33137/1/Page%201-24.pdf http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/33137/2/Full%20text.pdf
_version_	1747836803848601600

Development of an adaptive neurocontroller and satellite simulator for nano-satellite attitude control system

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