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Non-Linear Model Predictive Control Using CasADi Package for Trajectory Tracking of Quadrotor

Author

Listed:
  • Mohamed Elhesasy

    (College of Engineering, UAE University, Al-Ain P.O. Box 15551, United Arab Emirates)

  • Tarek N. Dief

    (College of Engineering, UAE University, Al-Ain P.O. Box 15551, United Arab Emirates)

  • Mohammed Atallah

    (College of Engineering, UAE University, Al-Ain P.O. Box 15551, United Arab Emirates)

  • Mohamed Okasha

    (College of Engineering, UAE University, Al-Ain P.O. Box 15551, United Arab Emirates)

  • Mohamed M. Kamra

    (College of Engineering, UAE University, Al-Ain P.O. Box 15551, United Arab Emirates)

  • Shigeo Yoshida

    (Research Institute for Applied Mechanics (RIAM), Kyushu University, Fukuoka 816-8580, Japan
    Institute of Ocean Energy (IOES), Saga University, Saga 840-8502, Japan)

  • Mostafa A. Rushdi

    (Research Institute for Applied Mechanics (RIAM), Kyushu University, Fukuoka 816-8580, Japan)

Abstract

In this paper, we present the development of a non-linear model predictive controller for the trajectory tracking of a quadrotor using the CasADi optimization framework. The non-linear dynamic model of the quadrotor was derived using Newton–Euler equations, and the control algorithm and drone dynamics were wrapped in Matlab. The proposed controller was tested by simulating the tracking of a 3D helical reference trajectory, and its efficiency was evaluated in terms of numerical performance and tracking accuracy. The results showed that the proposed controller leads to faster computational times, approximately 20 times faster than the Matlab toolbox (nlmpc), and provides better tracking accuracy than both the Matlab toolbox and classical PID controller. The robustness of the proposed control algorithm was also tested and verified under model uncertainties and external disturbances, demonstrating its ability to effectively eliminate tracking errors.

Suggested Citation

  • Mohamed Elhesasy & Tarek N. Dief & Mohammed Atallah & Mohamed Okasha & Mohamed M. Kamra & Shigeo Yoshida & Mostafa A. Rushdi, 2023. "Non-Linear Model Predictive Control Using CasADi Package for Trajectory Tracking of Quadrotor," Energies, MDPI, vol. 16(5), pages 1-17, February.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:5:p:2143-:d:1077225
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    References listed on IDEAS

    as
    1. Ngoc Phi Nguyen & Sung Kyung Hong, 2018. "Fault-Tolerant Control of Quadcopter UAVs Using Robust Adaptive Sliding Mode Approach," Energies, MDPI, vol. 12(1), pages 1-15, December.
    2. Rabab Benotsmane & József Vásárhelyi, 2022. "Towards Optimization of Energy Consumption of Tello Quad-Rotor with Mpc Model Implementation," Energies, MDPI, vol. 15(23), pages 1-25, December.
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