The paper focuses on an algorithm for controlling a group of unmanned gliding aircraft which are notable for the absence of a propulsion system. The flight is accomplished by using the full mechanical energy reserve received by the unmanned gliding aircraft at the time of the air launch. The task of a group flight with each gliding device being autonomous is currently relevant. Developing a group control algorithm and forming the trajectory of each unmanned gliding aircraft make it possible to solve a wide range of practical problems. This paper states the problem implying the maximization of the flight range with boundary conditions set at the ends of the trajectory. The trajectory of each of the group unmanned gliding aircraft is formed by specifying a reference function for each phase coordinate (xg, yg, zg). The flight range of the group is maximized as a result of solving a boundary value problem by the Ritz --- Galerkin method based on optimization of a function of several variables. In contrast to classical optimization methods, it allows solving the considered optimization problem with sufficient accuracy in a practical sense, without requiring large computational resources for its implementation. This method was used to optimize flight trajectories; however, in this work, it is applied with a number of significant differences both in terms of the problem statement and in terms of requirements for the dynamic capabilities of the aircraft

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The article is concerned with working out the crucial task of the formation flying of the unmanned gliding aircraft with the wing-mounted module. The problem considered has a lot of practical applications and increases the opportunities of the previously set out priorities. The distinctive feature of this type of aircraft is the lack of the power-unit, which imposes severe restrictions on the available energy reserves. We suggest an algorithm for flying in formation. The essential element of the algorithm developed is the procedure of setting up the ensemble of supporting navigational guide-points for each unmanned gliding aircraft in the group. The restrictions on the initial energy reserve on the left end of the trajectories as well as the accuracy requirements on the right end are taken into account. The article describes the method of path generation using the navigational guidepoints and forms an algorithm for terrain avoidance during the formation flying. We look at the simulation results demonstrating the use of the algorithms for the formation of unmanned gliding aircraft flying of a particular aerodynamic configuration.