Optimizing and Reliability Analysis by Firefly and Genetic Algorithms for a Quadcopter

Abstract

Quadcopters are a special type of unmanned aerial vehicle, which have received a lot of attention today due to their various applications in various fields. Quadcopters, due to their high functionality, the presence of various high-tech elements in them, along with special flight standards, etc., have set the conditions in such a way that the occurrence of any breakdown and fault, even a small one, will incur huge costs. Therefore, reliability estimation is of special importance for these systems. In addition, due to the limitation of financial resources and mass for the quadcopter, the design of a system should be done in such a way as to achieve the highest possible amount of reliability based on our limited resources. In this article, we have tried to obtain the best possible answers by using optimization algorithms while calculating the reliability. In order to increase the reliability of a system, there are several methods including increasing the quality of parts and components, using surplus components, increasing the quality of parts and components the use of surplus components and redesigning the system. In this article, an attempt has been made to increase the reliability of the quadcopter by using redundant components, and for this purpose, firefly algorithms have been used, and genetic algorithms have been used to validate and validate the results obtained. Finally, after running the algorithms 20 times, the optimal reliability values of 0.99925 using the firefly algorithm and 0.99999 using the genetic algorithm were obtained.