Validation in X-Plane of Control Schemes for Taking off and Landing Manoeuvres of Quadrotors

This paper shows the results obtained by using MATLAB/Simulink and X-Plane as co-simulation tools for the comparison of control schemes for takeoff and landing maneuvers of a quadrotor. Two control schemes based on nested saturations are compared to ensure the convergence of θ and ϕ angles to the equilibrium point, each with its own specific characteristics in its design and tuning procedure. Furthermore, in both proposals, a Generalized Proportional Integral (GPI) control is used for the height part, while a feedforward PID control is used for the ψ angle. The control schemes are proposed from a local geodetic coordinate system East, North, Up (ENU). Feedback data for the control schemes are obtained from X-Plane via User Datagram Protocol (UDP)-based interface; they are used in MATLAB/Simulink for the calculation of the control actions; the control actions are then entered into a transformation matrix that converts the actions into rotor angular velocities, which are sent to X-Plane. Several numerical simulations are presented to demonstrate the effectiveness and robustness of the proposed schemes, considering the presence of disturbances mainly due to wind speed. Finally, different performance indices are used to evaluate the schemes based on error; in this way, the use of X-Plane as a Model-in-Loop (MIL) environment is validated, which helps to identify errors or problems of the proposed controllers before their coding and physical implementation.

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Publication Details

Journal
Drones
Published
2024-08-21
DOI
https://doi.org/10.3390/drones8080409
Citations
2
Primary Topic
Adaptive Control of Nonlinear Systems
Type
article
Field-Weighted Citation Impact
0.66

Funders

Controls
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article

Validation in X-Plane of Control Schemes for Taking off and Landing Manoeuvres of Quadrotors

H. Rodríguez-Cortés, Ricardo Y. Almazan-Arvizu, Octavio Gutiérrez-Frías, Yair Lozano-Hernández et al.
2 citations
Drones
Adaptive Control of Nonlinear Systems
0.66
article

Validation in X-Plane of Control Schemes for Taking off and Landing Manoeuvres of Quadrotors

H. Rodríguez-Cortés, Ricardo Y. Almazan-Arvizu, Octavio Gutiérrez-Frías, Yair Lozano-Hernández, J. Alejandro Aguirre-Anaya
article en
2 citations

Abstract

This paper shows the results obtained by using MATLAB/Simulink and X-Plane as co-simulation tools for the comparison of control schemes for takeoff and landing maneuvers of a quadrotor. Two control schemes based on nested saturations are compared to ensure the convergence of θ and ϕ angles to the equilibrium point, each with its own specific characteristics in its design and tuning procedure. Furthermore, in both proposals, a Generalized Proportional Integral (GPI) control is used for the height part, while a feedforward PID control is used for the ψ angle. The control schemes are proposed from a local geodetic coordinate system East, North, Up (ENU). Feedback data for the control schemes are obtained from X-Plane via User Datagram Protocol (UDP)-based interface; they are used in MATLAB/Simulink for the calculation of the control actions; the control actions are then entered into a transformation matrix that converts the actions into rotor angular velocities, which are sent to X-Plane. Several numerical simulations are presented to demonstrate the effectiveness and robustness of the proposed schemes, considering the presence of disturbances mainly due to wind speed. Finally, different performance indices are used to evaluate the schemes based on error; in this way, the use of X-Plane as a Model-in-Loop (MIL) environment is validated, which helps to identify errors or problems of the proposed controllers before their coding and physical implementation.

DronesVol. 8(8)
Instituto Politécnico Nacional (MX), Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional (MX)
Instituto Politécnico Nacional, Secretaría de Investigación y Posgrado, Instituto Politécnico Nacional
Affordable and clean energy
Openalex Percentile: Top 31%
Adaptive Control of Nonlinear Systems
0.66
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