Aerospace Instrument-Making Annotation << Back CubeSat Stabilization System Tuning Via Genetic Algorithm During Reaction Wheels Acceleration Mode Pushkareva A.D., Maslennikov A.L. The paper considers the problem of CubeSat stabilization system tuning using optimization procedures for the transient processes of the reaction wheels acceleration mode. For this purpose, an evolutionary optimization method is used - a genetic algorithm, which allows one to fi nd a solution in problems with several local extrema and a strong nonlinear dependence of the cost function on the tuning parameters. A mathematical model of a stabilization system based on reaction wheels and a magnetic discharging system is presented, along with the formulation of an optimization problem for tuning the stabilization system. As part of the computational experiment, a one-time procedure for tuning the stabilization system using a genetic algorithm was carried out. The results show the fundamental applicability of this approach and the necessity for additional research of the infl uence of randomization in a genetic algorithm on the solution of the problem under consideration. Keywords: spacecraft, genetic algorithm, mathematical modeling, optimization, stabilization system, optimal adjustment of regulators. Pp. 37-49.