M.Ing. / This thesis investigates how genetic algorithms may be applied to solving for flyback converter design optimization. The genetic algorithm finds the combinations of components and switching frequency required for a capable, efficient and small fly-back solution. Ways of effectively evaluating the proposed solutions are discussed in light of the circuit theories of power electronics, and specifically, fly-back converters. Applying component data effectively to the evaluation process is addressed, especially in the light of the optimization goals. A solution evolved by a genetic algorithm is tested and compared against a prototype designed through conventional methods.
| Identifer | oai:union.ndltd.org:netd.ac.za/oai:union.ndltd.org:uj/uj:2073 |
| Date | 27 February 2012 |
| Creators | Fivaz, Jean |
| Source Sets | South African National ETD Portal |
| Detected Language | English |
| Type | Thesis |
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