NEURAL NETWORK BASED ROBUST CONTROL STABILIZATION OF SPHERICAL INVERTED PENDULUM WITH DUAL-AXIS REACTION WHEELS

dc.contributor.authorRzagaliyev, Yerzhan
dc.date.accessioned2021-07-01T10:36:28Z
dc.date.available2021-07-01T10:36:28Z
dc.date.issued2021-05
dc.description.abstractAs the new paradigm shift happened in the industrialization, introducing "Industry 4.0", many new applications in robotics are emerged. One of them safe human robot interaction field. Such an approach can be executed by utilizing variable impedance actuators, which imitates human and animal bodies, guaranteeing safety during the interaction. But on the other hand, these actuators have some limitations due to the damping elements in their construction. These elements behave as filters and may decrease the accuracy and positioning of the end effector, and may cause vibrations. Therefore, to avoid such unfavorable conditions, some stabilization elements should be integrated with the actuators. The thesis work will introduce a two-axis reaction wheel based inverted pendulum, which can deal with the nuisance by liquidating vibrations and adjust accuracy. In this work the utilization of Neural Networks is implemented to stabilize the pendulum. Moreover, it will consider the robust control Neural Network for the case of uncertainties and external disturbances. By generating the simulations and conducting real world experiments, the work will demonstrate the advantages of Neural Network employment.en_US
dc.identifier.citation"Rzagaliyev, Y. (2021). Neural Network Based Robust Control Stabilization of Spherical Inverted Pendulum With Dual-Axis Reaction Wheels (Unpublished master's thesis). Nazarbayev University, Nur-Sultan, Kazakhstan"en_US
dc.identifier.urihttp://nur.nu.edu.kz/handle/123456789/5489
dc.language.isoenen_US
dc.publisherNazarbayev University School of Engineering and Digital Sciencesen_US
dc.rightsAttribution-NonCommercial-ShareAlike 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/us/*
dc.subjectNeural Network employmenten_US
dc.subjectResearch Subject Categories::TECHNOLOGYen_US
dc.subjectType of access: Open Accessen_US
dc.titleNEURAL NETWORK BASED ROBUST CONTROL STABILIZATION OF SPHERICAL INVERTED PENDULUM WITH DUAL-AXIS REACTION WHEELSen_US
dc.typeMaster's thesisen_US
workflow.import.sourcescience

Files

Original bundle
Now showing 1 - 2 of 2
Loading...
Thumbnail Image
Name:
Thesis - Yerzhan Rzagaliyev.pdf
Size:
2.84 MB
Format:
Adobe Portable Document Format
Description:
Thesis
Loading...
Thumbnail Image
Name:
Presentation - Yerzhan Rzagaliyev.pdf
Size:
5.69 MB
Format:
Adobe Portable Document Format
Description:
Presentation
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
6.28 KB
Format:
Item-specific license agreed upon to submission
Description: