A genetic algorithm from literature is adapted to design piezoelectric sonar sensors using results from physics simulations to optimize for a uniform voltage response over a wide range of frequencies. The adapted genetic algorithm produces valid sensor designs, and algorithm improvements are proposed. The best case general methods for bathymetric mapping with a sonar sensor is determined by sweeping various point selection algorithms, interpolation algorithms, and algorithm parameters. A set of methods are proposed based on how many sample points are used and what error metric is preferred. Additional algorithms are suggested for future improvements.
Identifer | oai:union.ndltd.org:pacific.edu/oai:scholarlycommons.pacific.edu:uop_etds-5019 |
Date | 01 January 2017 |
Creators | Morales, Connor |
Publisher | Scholarly Commons |
Source Sets | University of the Pacific |
Detected Language | English |
Type | text |
Format | application/pdf |
Source | University of the Pacific Theses and Dissertations |
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