Simulation and implementation of alternative attitude control algorithms for a micro multirotor flying platform

The most popular control algorithm in attitude stabilization of multirotor aerial vehicles is a PID controller. It is used so frequently because of low computational requirements and simplicity of implementation and tuning. However, there are many other control algorithms suitable for this task, for example fuzzy logic or neural networks controllers. These algorithms are more complex than PID, but with appropriate knowledge and hardware it is possible to implement them in the on-board controller. This paper presents the comparison of the mentioned algorithms during simulation experiments. The construction process of a micro multirotor flying platform NeuroQuad and the implementation of the tested algorithms on this platform are described.