Design neurofuzzy with PID controllers for an autonomous mini-helicopter system

Abstract EN

In this paper a combining Neurofuzzy and PID controllers have been employed for controlling the positions and rotational motions of the mini-helicopter system.

Due to the strong coupling between the state variables of the mini-helicopter model, therefore, it is not suitable to design single controller for regulating the positions and rotational motions of the given model.

To solve this problem, three neurofuzzy controllers are designed for the lateral, longitudinal and heave motion ; and three classical PID controllers are proposed for attitude control.

Nine rules are suggested for each neurofuzzy network depends on the previous knowledge / experiences of expert human pilot.

The simulation results show that the proposed controllers are very effective to control the hovering, position and forward flight of the mini-helicopter system.