Moment of Inertia Estimation Using a Bifilar Pendulum
2016-04
Loading...
View/Download File
Persistent link to this item
Statistics
View StatisticsJournal Title
Journal ISSN
Volume Title
Title
Moment of Inertia Estimation Using a Bifilar Pendulum
Authors
Published Date
2016-04
Publisher
Type
Presentation
Report
Report
Abstract
The objective of this project was to investigate experimental methods for estimating rotational moments of inertia. The moments of inertia of an aircraft are important in understanding its aerodynamic properties and thus its translational and rotational motion during flight. A current method used in the Unmanned Aerial Vehicle (UAV) Laboratory to estimate moments of inertia includes a bifilar pendulum, which will be described in this report. An investigation of the bifilar pendulum includes determining the accuracy of the experiment and understanding its experimental process. It was found that the variance for ten experiments was small, allowing confidence to be had when estimating moments of inertia of a given aircraft. However, it should be noted that uncertainty in aircraft properties could affect the comparative analysis between analytical values and experimental results. Additionally, this investigation provides insight into the experimental process of moment of inertia estimation and motivates future research in the area.
Description
Related to
Replaces
License
Series/Report Number
Funding information
This research was supported by the Undergraduate Research Opportunities Program (UROP).
Isbn identifier
Doi identifier
Previously Published Citation
Other identifiers
Suggested citation
Habeck, Joseph; Seiler, Peter. (2016). Moment of Inertia Estimation Using a Bifilar Pendulum. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/182514.
Content distributed via the University Digital Conservancy may be subject to additional license and use restrictions applied by the depositor. By using these files, users agree to the Terms of Use. Materials in the UDC may contain content that is disturbing and/or harmful. For more information, please see our statement on harmful content in digital repositories.