Construction of a Fuzzy Controller for UAV Angular Orientation Under Conditions of Brief High-Intensity Disturbances and Analysis of Its Functioning with Various Models of Fuzzy Inference

Unmanned aerial vehicles (UAVs) operate in various flight modes, which determines the need to use multi-mode control. When performing a flight task, various short-term disturbances of an undetermined nature (wind gusts, air trails from another vehicles) may affect the UAV. Because of it, the on-board control system of the UAV must provide high-quality stabilization, but at the same time be simple enough for implementation under conditions of restrictions on weight and size characteristics. The system providing effective control can be implemented using the method of quasi-optimal synthesis of control laws based on the reduction of the Lagrange problem to an isoperimetric problem and using the fuzzy logic apparatus. At the same time, the effectiveness of such control system depends on the chosen fuzzy inference structure. In this paper analysis is carried out for effectiveness of the UAV angular orientation control algorithm based on quasi-optimal control laws using fuzzy logic, as well as a comparison of various fuzzy inference structures.