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Altitude and Attitude Control of a Quadcopter Based on Neuro-Fuzzy Controller

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Proceedings of the 11th International Conference on Robotics, Vision, Signal Processing and Power Applications

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 829))

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Abstract

In this paper, a 6-degrees of freedom (DoF) nonlinear dynamic model of the quadcopter is derived and a robust altitude and attitude control is proposed. The motion control is performed with four neuro-fuzzy controllers that ensure rapid and robust performances for nonlinear and uncertain systems. The aim of the designed control scheme is to provide to track the desired yaw, pitch, roll, and altitude trajectories simultaneously. The simulations are realized in the MATLAB/Simulink environment. The obtained results show that the designed control scheme is robust and efficient in both altitude and attitude responses with different uncertain trajectories.

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Author information

Authors and Affiliations

  1. Electrical and Electronics Engineering, Malatya Turgut Ozal University, Malatya, 44210, Turkey

    Deniz Korkmaz & Mehmet Ustundag

  2. Electrical and Electronics Engineering, Gaziantep Islam Science and Technology University, Gaziantep, 27260, Turkey

    Hakan Acikgoz

Authors
  1. Deniz Korkmaz
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  2. Hakan Acikgoz
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  3. Mehmet Ustundag
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Corresponding author

Correspondence to Deniz Korkmaz .

Editor information

Editors and Affiliations

  1. School of Electrical and Electronic Engineering, Universiti Sains Malaysia, Penang, Malaysia

    Nor Muzlifah Mahyuddin

  2. School of Electrical and Electronic Engineering, Universiti Sains Malaysia, Penang, Malaysia

    Nor Rizuan Mat Noor

  3. School of Electrical and Electronic Engineering, Universiti Sains Malaysia, Penang, Malaysia

    Harsa Amylia Mat Sakim

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Korkmaz, D., Acikgoz, H., Ustundag, M. (2022). Altitude and Attitude Control of a Quadcopter Based on Neuro-Fuzzy Controller. In: Mahyuddin, N.M., Mat Noor, N.R., Mat Sakim, H.A. (eds) Proceedings of the 11th International Conference on Robotics, Vision, Signal Processing and Power Applications. Lecture Notes in Electrical Engineering, vol 829. Springer, Singapore. https://doi.org/10.1007/978-981-16-8129-5_154

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