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Autonomous navigation system for an F-86 Sabre

version 1.0.1 (22.2 MB) by Álvaro Ortiz
Implementation of multivariable controllers (LQR, MPC) using path planning techniques and a nonlinear guidance law for an F-86 Sabre

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Updated 04 Jan 2021

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The main goal is to conduct a comparison of the results obtained from the application of a Linear Quadratic Regulator (LQR) and a Linear Time-invariant Model Predictive Controller (MPC) in an F-86 Sabre, while path planning techniques and a nonlinear guidance law are employed. The code accomplishes a blitz mission, bombarding a specified area with M117 Demolition Bombs. A Recursive Rewarding Adaptive Cell Decomposition (RR-ACD) algorithm is utilized in order to calculate a reference trajectory based on avoiding obstacles and respecting constraints, afterwards, a Smooth 3D Path Planning (S-3D-PP) algorithm improves the path and defines a velocity profile. The mentioned controllers and a nonlinear guidance law are key to fulfill the mission. An analysis about flight parameters, fuel mass consumption, bombarding accuracy and wind velocities is made.

The code is also available in GitHub:

https://github.com/alvart-98/Autonomous-Navigation-F-86-Sabre

Cite As

Álvaro Ortiz (2021). Autonomous navigation system for an F-86 Sabre (https://www.mathworks.com/matlabcentral/fileexchange/85168-autonomous-navigation-system-for-an-f-86-sabre), MATLAB Central File Exchange. Retrieved .

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MATLAB Release Compatibility
Created with R2019b
Compatible with R2019b and later releases
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