Switching PID Control for an Underactuated Flying Object Through Model-Based Prediction

This paper explores switching PID controller for an underactuated flying object through model-based prediction. Helicopter is applied in large field because of flight ability such as vertical ascent, vertical descent and hovering. However the helicopter, which is one of the underactuated flight objects, is complex and has nonlinear dynamics. In this research, controlled target is an underactuated flight object with two inputs and three outputs. The proposed method predicts the system outputs using the model of controlled target, and the control inputs are calculated by using their values. That is, PID gains arc switched at each sampling tune by the model-based controlled result with time passing virtually. A numerical example is shown to verify the validity of the proposed method.