Development of Autonomous Quadcopter
This paper addresses the problem of quadcopter control for researchers and engineers working on autonomous aerial vehicles.
This work developed an adaptive neuro-fuzzy inference system (ANFIS) controller for quadcopter attitude and altitude control. The ANFIS controller's performance was compared against a classical proportional-derivative (PD) controller and a fuzzy logic controller.
The main objective of this work is demonstrated through two main aspects. The first is the design of an adaptive neuro-fuzzy inference system (ANFIS) controller to develop the attitude and altitude of a quadcopter. The second is to establish the linearized mathematical model of the quadcopter in a simple and clear way. To show the effectiveness of the ANFIS approach, the performance of a well-trained ANFIS controller is compared to a classical proportional-derivative (PD) controller and a properly tuned fuzzy logic controller.