Multirotor design optimization using a genetic algorithm

An optimization problem based on discrete-integer and continuous variables in order to design a multirotor for a specific application (maximum thrust-to-weight and maximum flight time) is developed. We considered the length and the diameter of the rods as continuous variables and the selection of the motors, propellers, and battery as discrete-integer variables, the components selected are available in common hobby stores. The problem is solved for two cases: maximum thrust-to-weight ratio and maximum flight time. The problem is stated using the aerodynamic principles and mechanical design as well. We used a Genetic Algorithm provided by the Optimization Toolbox in Matlab®, in order to solve the two cases; a brief description of the algorithm is presented. The results showed that the general idea is to consider an hex-rotor in order to obtain the maximum thrust-to-weight ratio and the maximum flight time.