This thesis presents the design of a platform for testing DC motors over the Internet. The system allows customers to test multiple DC motors under the specific loading conditions of the real world application for which the motor is required. This provides more information than the motor performance charts alone, therefore allowing the user to make a more-informed decision. The architecture is divided into three subsystems: the Motor Test Platform, the Target Software Application and the Server Software Application. A proof-of-concept prototype was built using this architecture. This implementation was evaluated against benchmark tests to determine its capabilities as a simulation and evaluation tool. The positioning system performed well and was able to connect to different Test Motors with any proximal human operation. The positioning system did introduce some error compared to emulation done with manual coupling.
| Identifer | oai:union.ndltd.org:TORONTO/oai:tspace.library.utoronto.ca:1807/29989 |
| Date | 16 September 2011 |
| Creators | Tedesco, Michael-Anthony Clarke |
| Contributors | Emami, Mohammad Reza |
| Source Sets | University of Toronto |
| Language | en_ca |
| Detected Language | English |
| Type | Thesis |
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