The active participation of unmanned aerial vehicles in combat operations has demonstrated the significant role of processes involved in directing them to a specified point in space or targeting. This study examines unmanned aerial vehicles guidance, mathematical modeling methods, and trajectory control algorithms. The methods applied include structural modeling and state space modeling, Laplace transforms, and transfer functions. The objective is to develop control algorithms for the guidance process of unmanned aerial vehicles under different hardware configurations. The scientific contribution of this research is characterized by the formulation of a comprehensive nonlinear mathematical model of unmanned systems. This model serves as a foundational framework for the development of semi-natural simulation systems aimed at supporting the design and testing phases of onboard unmanned aerial vehicle systems. The modeling of guidance processes is conducted both in a nonlinear framework and using linearized equations. A structure for the automatic control system with an overload autopilot and guidance system has been developed. Control algorithms for the object have been synthesized for various guidance methods, enabling their application in flight controllers based on guidance parameter information.