Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Algorithm for Propeller Optimization Based on Differential Evolution

Andry Sedelnikov
* ORCID logo ,
Evgenii Kurkin
,
Jose Gabriel Quijada-Pioquinto
* ,
Oleg Lukyanov
,
Dmitriy Nazarov
,
Vladislava Chertykovtseva
,
Ekaterina Kurkina
,
Van Hung Hoang
ORCID logo
Version 1 : Received: 9 November 2023 / Approved: 10 November 2023 / Online: 10 November 2023 (11:39:39 CET)

A peer-reviewed article of this Preprint also exists.

Sedelnikov, A.; Kurkin, E.; Quijada-Pioquinto, J.G.; Lukyanov, O.; Nazarov, D.; Chertykovtseva, V.; Kurkina, E.; Hoang, V.H. Algorithm for Propeller Optimization Based on Differential Evolution. Computation 2024, 12, 52. Sedelnikov, A.; Kurkin, E.; Quijada-Pioquinto, J.G.; Lukyanov, O.; Nazarov, D.; Chertykovtseva, V.; Kurkina, E.; Hoang, V.H. Algorithm for Propeller Optimization Based on Differential Evolution. Computation 2024, 12, 52.

Abstract

This article describes the choice of an optimization algorithm for solving problems and the optimal design of an unmanned aerial vehicle propeller. To solve the problem using evolutionary algorithms, it was transformed into an unconstrained optimization problem using a penalty function. The airfoil contours were constructed using a Bezier curve. Design variables were divided into two types: those that describe in general terms the propeller geometry or operation, such as propeller diameter, number of blades, and rev/min; and those that vary with propeller radius, such as chord length, effective airfoil angle, and airfoil geometry. The objective function is the calculation of the propeller power required to achieve a given thrust. The differential evolution algorithm was used to solve this problem.

Keywords

differential evolution; penalty function; SHADE algorithm; CAPR; lightweight pipelining; isolated sections method

Subject

Computer Science and Mathematics, Data Structures, Algorithms and Complexity

Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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