Bibliographic citations
Espejo, M., Cordova, D. (2024). Diseño y Simulación de un generador de ruta de bajo consumo para catamaranes con vela rígida aplicado a un diseño propio experimental de un casco cuyo diseño está inspirado en la morfología del pez vela [Trabajo de suficiencia profesional, Universidad Peruana de Ciencias Aplicadas (UPC)]. http://hdl.handle.net/10757/683336
Espejo, M., Cordova, D. Diseño y Simulación de un generador de ruta de bajo consumo para catamaranes con vela rígida aplicado a un diseño propio experimental de un casco cuyo diseño está inspirado en la morfología del pez vela [Trabajo de suficiencia profesional]. PE: Universidad Peruana de Ciencias Aplicadas (UPC); 2024. http://hdl.handle.net/10757/683336
@misc{renati/1300416,
title = "Diseño y Simulación de un generador de ruta de bajo consumo para catamaranes con vela rígida aplicado a un diseño propio experimental de un casco cuyo diseño está inspirado en la morfología del pez vela",
author = "Cordova Romero, Diego Alonso",
publisher = "Universidad Peruana de Ciencias Aplicadas (UPC)",
year = "2024"
}
Currently, there are route generators for catamarans with rigid sails, which utilize technologies such as fuzzy logic, as seen in the work of Sun, K et al. (2019), Q-learning by Silva, A et al. (2020), or the development of layered controllers as in the works of Dos Santos, D et al. (2019). The problem with these generators is their high computational consumption, which prevents them from being executed on controllers like the Raspberry Pi 4 or microcontrollers such as the Pic18F4550. Previously, a route-generating algorithm was developed by Córdova, D (2024), which can run with low computational cost but has areas for improvement that this work aims to address. One issue is its low accuracy for distances greater than 1 mile and its erratic movement; therefore, the mathematical foundations will be changed to spherical trigonometry. Additionally, a speed selection system will be added depending on the required turning angle and compared with the maximum turning angle at different speeds. Regarding turning data, the design of an experimental hull inspired by the morphology of the sailfish will also be utilized, designed in this work. The goal is for the algorithm to maintain its ability to run on controllers and microcontrollers while generating less erratic routes compared to Córdova's work (2024). Concerning the hull, it aims to achieve high speed compared to a commercial recreational catamaran like the HOBIE WAVE. This is intended to serve for the development of an autonomous and self-sustaining research catamaran for the interests of the Peruvian Navy.
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